star trek computer voice for alexa

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Star Trek Fans Will Love Amazon’s Newest Echo Feature

Star Trek: The Next Generation

U nlike Apple’s Siri, Microsoft’s Cortana, and the Google Assistant, Amazon has allowed users to change the ‘wake word’ for its Alexa voice-enabled assistant ever since the company launched its Echo smart speaker .

A multi-syllabic word or phrase that computers, smartphones, and other devices listen for, a wake word is what prompts these various voice assistants to take action. And in addition to “Alexa,” Amazon also let users set their Echo devices to recognize the terms “Echo” and “Amazon.” Now the company also allows “Computer” as a wake word, to the delight of Star Trek fans everywhere:

To change the wake word on your Echo device, you don’t even have to speak to Alexa. Instead, open the Amazon Alexa app on your phone or tablet, and tap on the menu button at the top left of the screen. A column of options will open up; tap on Settings. Then tap on the Alexa-compatible device you want to change the wake word for, and on the page that appears, scroll down until you see the wake word field.

Read more: The ultimate guide to the Amazon Echo

Changing your wake word isn’t a universal setting, which means if you have multiple Alexa-compatible devices, you can use a different wake word on each. Or, if you want the wake word the same for all of your Alexa-enabled devices, you’ll need to set the preference on each. However, if you have a third-party Alexa-compatible device , you will only be able to say “Alexa” to wake it up. Amazon has not opened up this option on Alexa-packing hardware made by other companies.

The “computer” wake word is just the latest Easter Egg embedded within the voice-enabled assistant. For others, ask Alexa (or “computer”) to “beam me up,” or “set phasers to kill.” If those are too adventurous, you could always as for “Tea, Earl Grey, hot.” It’s likely this particular setting is a result of Amazon CEO Jeff Bezos’ own fondness for Trek — he was even an extra in the latest film .

( Read TIME’s affiliate link policy .)

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star trek computer voice for alexa

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Amazon’s Echo Brings the ‘Star Trek’ Computer to Your Home

How often does a truly new electronics category come along? The first television. The Walkman. The iPhone. The iPad. Each time, the industry spends years making copycats and refinements, but the original concept doesn’t change much.

Frankly, Amazon is the last company I would have expected to come up with the next completely new idea. I mean, its hardware ventures so far have been very much in the Us Too department. E-book readers, touchscreen phones, tablets — we’d seen all that before.

But not the Amazon Echo , which just became available for sale to the public (following an invitation-only, testing-the-waters release last November). Somehow, nobody’s thought of this before.

The big idea: Create a voice-activated smartphone assistant like Siri or Google Now — but take it off the phone . Make it a smart, always-listening machine in your house. Engineer it to understand you from across the room, hands free, as you’re cooking, reading, doing homework, discussing, living. Make it good enough to be just like the conversational, environmental computers on Star Trek or in the Iron Man  movies.

That’s what the Amazon Echo attempts to be. And you know what? I’ve never been so excited about something that did so little.

Meet the Echo

If you wanted to make a conversational computer for the home, what should it look like? Because Amazon was creating the first one of something, there was no existing design model, no accepted size or shape.

So Amazon went with a nine-inch-tall, sleek black metal cylinder. And why not? It works. It fades into the clutter of your house, along with whatever else is on your bookcase or shelving unit or kitchen counter, just as it should.

The bottom part is perforated, hinting at the speakers inside. The top disc rotates — it’s a giant volume knob — and lights up in various cool LED colors and patterns to telegraph what the thing is doing. On the very top is a power button and a mute button that means both “stop speaking” and “stop listening.”

The Echo is indeed listening all the time to the conversation in your home, but it doesn’t pay attention until you say, “Alexa.” (You can change the attention word to “Amazon,” but that’s your only option. It would be so much more fun if you could make it any name you liked — say, “Hal,” “Jarvis,” or “Skynet.” But you can’t do that. Yet, anyway.)

Why is the product called Amazon Echo, but its starter name is Alexa?

Anyway, once you say “Alexa,” the Echo is just like Siri, Cortana, or Google Now. You ask things in conversational English, and it answers in a clear, fluid, natural-sounding woman’s voice. Actually, Alexa sounds much better than Siri, Cortana, or Google Now. In part, that’s because she’s being projected by a 2.5-inch woofer and a 2.0-inch tweeter instead of a phone speaker the size of a fingernail clipping.

The most amazing engineering achievement is the Echo’s ability to understand commands in terrible acoustic conditions. It understands you whether you’re close to it or a whole room away. It understands every member of the family without training. It understands you when there’s background noise. It even understands you over the music it’s playing .

Above all, it understands you despite the natural echoes and reverberations of a room. Amazon says that’s because it has an array of seven microphones on top. Apparently, even though they’re just inches apart, they can measure the relatively delayed arrivals of incoming sound waves from your voice, and thereby cancel out any echo.

Now, the Echo doesn’t understand you every time. If you ask something beyond its limited circle of commands, you get either a beep or a “Sorry, I can’t find the answer to the question I heard”-type message. And sometimes it mis-hears you completely. (That situation crops up most often when you’re ordering a certain song or band to play.)

But considering the fact that your voice commands have to be transmitted to the mother ship (Amazon’s computers) and back across the Internet, the accuracy and speed of Echo’s responses are really impressive.

Oh, that’s right: Your recorded commands are collected for study by Amazon, for the purposes of improving Echo’s recognition skills. Amazon says that these recordings are  not anonymous, and they’re not deleted unless you delete them. You can delete these recordings yourself, either one at a time or all at once (but that “may degrade your experience using Amazon Echo”).

In short, the easily spooked should not buy an Amazon Echo.

What Can I Say?

At 6 months old, the Echo isn’t nearly as capable as, say, Siri; it doesn’t recognize as many commands or do as many things.

But Amazon promises that the Echo’s talents will rapidly expand. And indeed, the number of requests the device can handle has already doubled since its early adopter beginnings six months ago.

Here’s what the Echo responds to, in order of usefulness:

“Alexa, play Billy Joel.” Music is the killer app. You walk into the kitchen and ask for virtually any band, song, album, genre, or even activity (“play some cooking music”) — and the music just starts. It’s as close as you’re going to get to owning the Star Trek  computer.

This feature works best if you’re an Amazon Prime member ($100 a year ), because it gives you instant access to a million songs, plus thousands of playlists created by your fellow members.

If you’re not a Prime member (or even if you are), you can also request any of the personalized radio stations you’ve created on a Pandora or iHeartRadio account (free or paid). “Play my Coldplay channel from Pandora,” you can say. Here’s what else you can say .

You can also upload 250 of your own song files to Amazon, to play upon vocal command.

Spotify and Apple Music are more limited; they’re not integrated with the Echo (yet, says Amazon). For services like these, you’re supposed to use the Echo as a glorified wireless Bluetooth speaker for your phone.

You start by saying, “Alexa, connect my phone,” which starts directing playback to the Echo instead of your phone’s speaker. Then you open the music app (Spotify or whatever) on your phone. From here, you can command playback by voice, without needing your phone: “Play,” “Next,” “Previous,” “Resume,” “Softer,” Louder,” and so on.

When music plays, you can adjust the volume by voice, buy the song by voice, or say “Alexa, thumbs up” to “like” the song (for Pandora, iHeartRadio, and Prime Music).

“Alexa, play WCBS.” You can also request any radio station in the country, just by asking for it. That’s a feature of TuneIn.com , which is built right into the Echo and doesn’t require an account or setup. It’s the best.

“ Alexa, what’s the news?” Alexa instantly begins playing NPR’s latest headline summary. Using the Echo app on your phone, you can also turn on the option to request the news from the BBC, ESPN, the Economist, or TMZ.

“Alexa, how’s the traffic?” Once you’ve entered your home and work addresses in the phone app, Alexa can tell you exactly how many minutes your commute will be if you leave now.

“Alexa, what’s the weather in Dallas this weekend?” As you’d expect.

“ Alexa, read ‘The Casual Vacancy.’” If you’ve bought an audio book from Audible, the Echo begins playing your most recent book. It picks up where you stopped before, even if you were listening to it on a different device.

“Alexa, wake me up at 7:20 a.m.” The Echo is rock-solid on alarms and timers. (If Echo is in the kitchen, you’ll use “Set a timer for 20 minutes” a lot. One night, my wife, with no idea if it would work, said, “Alexa, how much time is left on my timer?” — and bingo, Alexa answered. It was awesome.)

“Alexa, how far is it from Chicago to Tampa?” Alexa is really good at facts. She’ll convert units for you, give you historical or geographical facts, calculate the days of the week for dates, fill you in on movie and music trivia, and on and on. Same kind of thing Siri, Cortana, and Google Now do. Here are a few examples .

She knows sports scores and schedules, too. (“When do the Giants play next?”)

“Alexa: Wikipedia ‘The Rolling Stones.’” This command reads the first couple of lines from the corresponding Wikipedia entry.

“Alexa, put nutmeg on my shopping list.” Alexa doesn’t buy anything without your confirmation. But she will put things onto a shopping list that’s maintained in the Echo app on your phone. Same thing with To Do items: “Put ‘Paint the living room’ on my To Do list.”

“Alexa, reorder cat food.” You can buy stuff by voice —  if you’ve previously bought them from Amazon. Alexa describes, aloud, any matching item from your order history, tells you price, and asks if you want to go ahead and order it. For things you order often, it’s pretty cool. (If you make a mistake, you can return the stuff for free. And if you have mischievous teenagers in the house, you can also disable this feature, or require a spoken password.)

“Alexa, how do you spell fluorescent?” She’s a great dictionary. She’ll also define any word for you.

“Alexa, turn off the living-room lights.” In one of Amazon’s recent feature updates, the Echo gained the ability to control home-automation gear from Wink, Belkin, and Philips (that is, the Philips Hue light bulbs). Here’s the complete list  of compatible gear.

Once you’ve set all this up, you can use your voice to control lights, light switches, and — here’s the limitless part — power outlets. I tried it with a couple of Belkin WeMo Internet-controllable outlets, and it was wild.

“Alexa, when’s my next appointment?” You can ask various things about your Google calendar, once you’ve told the Echo app your Google account details. You cannot, however, create, delete, or move appointments by voice, as you can with Siri; you can only look things up. (“What’s on my calendar for Tuesday?”)

“Alexa, tell me a joke” quickly became a favorite command in our household of kids. She’s always good for a short, painful pun or two (“Why don’t bicycles wake up early? They’re two-tired”), but now and then she gets the adults laughing. (“How many surrealists does it take to change a light bulb? Two. One to hold the giraffe, and the other to fill the bathtub with brightly colored machine tools.”)

Alexa’s Personality

Amazon has put a lot of work into giving Alexa witty responses to silly questions, just like Siri or Cortana — especially when you feed her movie quotes. For example:

You say: “Beam me up.” (She says: “At warp speed, Captain? The engines will never take it!”)

“Which came first: The chicken or the egg?” (”The chicken. Or the egg. No, the chicken. I’m not sure.”)

“Do you want to take over the world?” (”I don’t want to take over the world; I just want to help you.”)

“Earl grey tea. Hot.” (”Unable to comply. Replicators are offline.”)

“How much is that doggie in the window?” (”That one’s not for sale. But the one with the fluffy tail is really nice, too.”)

“I am your father.” (”No! No, no, no!”)

“All your base are belong to us.” (”You have no chance to survive. Make your time.”)

“I want the truth.” (“You can’t handle the truth!”)

“Inconceivable!” (”You keep using that word. I do not think that word means what you think it means.”)

“Is Santa Claus real?” (”I don’t know him personally, but I’ve heard a lot of good things…”)

“Klaatu barada nikto.” (“Well remembered! Unfortunately, I’m not Gort, and I have no powers of resurrection.”)

“How much wood would a woodchuck chuck if a woodchuck could chuck wood?” (”A woodchuck would chuck as much wood as a woodchuck could if a woodchuck could chuck wood.”)

“What is your favorite color?” (”Infrared is superpretty.”)

“Knock-knock.” (She tells a knock-knock joke.)

“Mirror, mirror on the wall, who’s the fairest of them all?” (”More fair by far are you than all…” etc.)

“Party on, Wayne.” (”Party on, Garth.”)

“Romeo, Romeo! Wherefore art thou, Romeo?” (”Deny thy father and refuse thy name; / Or if thou wilt not, be but sworn my love / And I’ll no longer be a Capulet!”)

“What do you think about Siri?” (”Siri’s a great app, but I’m different.”)

“What does the fox say?” (”Waa, was, way do.”)

“What is your quest?” (”To seek the Holy Grail.”)

“Who’s your daddy?” (”A team of inventors at Amazon.com.”)

“Open the pod bay doors.” (“I’m sorry, Dave, I’m afraid I can’t do that. I’m not Hal, and you’re not in space.”)

“What do you want to be when you grow up?” (”I want to be the computer from Star Trek !”)

The App and the Remote

You don’t have to spend much time in the companion Echo app (for iPhone, Android, or Fire OS). But it serves as the only screen the Echo’s got. Here’s where you see your To Do and Shopping lists, for example. It’s where you set up your music-service accounts, specify which news services you want on call, get help, see manual music playback and volume controls, and take the voice-training exercise. (This asks you to read 25 typical Echo commands. It’s supposed to improve accuracy, but it’s optional.)

The app also keeps written and audio records of your voice commands — and lets you indicate which ones didn’t work, for the benefit of Amazon’s engineers.

For another 30 bucks you can get a remote control. It offers music-playback and volume controls, plus three key benefits:

You can command the Echo quietly, by speaking into its microphone.

You don’t have to say “Alexa” before every command (just press the microphone button and talk).

*You can make the Echo say anything you want. Hold down the microphone button, say “Simon says…” and then say what you want Alexa to say in her own voice. (That’s how I got the Echo to say the goofy things in my video above.) Great for pranks.

Where Echo should go from here

Amazon still has plenty of work to do on the Echo.

You should be able to add appointments to your calendar. Make restaurant reservations. Look up movie schedules. Make phone calls (why isn’t it a speakerphone?). Send and read text messages. Add notes to your Notes app. Check stock prices. Post to Facebook or Twitter.

The To Do and Shopping List features should integrate with the ones you’ve already got on your iPhone or Android phone, rather than being confined to the Echo app.

Some people complain that Echo has no batteries, so it’s not really mobile, although that seems beside the point; it’s meant to become part of your home environment.

If Echo were $500 or even $300, well, no: It would just be a gimmick.

But the price is $180, which is about what you’d pay for a similarly sized Bluetooth wireless speaker. You get the whole voice-assistant thing for nothing.

I know, I know: “But my phone does the same thing.” No, it really doesn’t.

Most smartphones can take commands like “OK, Google, what’s 17 times 12?” or “Siri, what’s the weather?” (Siri responds hands-free only if your iPhone is plugged into power.) But the details  make the difference. The Echo doesn’t require your hands. Doesn’t require you to be close. Doesn’t have to come out of your pocket — or require you to hunt around the house for it. Doesn’t require you to be you (anyone’s voice works). Doesn’t sound tiny and tinny.

I’m telling you, a voice assistant is a totally different concept once it’s untethered from your phone and always available. It grows on you. As you experiment and live with Echo, you master its vocabulary and begin using it more.

You should give Amazon a huge mental high-five for a) having the imagination to create a whole new product category and b) being able to actually  pull it off .

And you should keep the Echo in mind — maybe to get for yourself, maybe at holiday gift-giving time, or maybe just to keep your eye on. I’m telling you, it’s going to be a thing.

David Pogue is the founder of Yahoo Tech. On the Web, he’s davidpogue.com. On Twitter, he’s @pogue. On email, he’s [email protected]. He welcomes nontoxic comments in the Comments below. 

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Star Trek’s First Lady Majel Barrett’s Voice Inspired Alexa And Other Virtual Assistants

Rod Roddenberry shared details on the story.

Gene Roddenberry’s wife Majel Barrett was such an integral part of the Star Trek franchise that she’s often referred to as the franchise’s First Lady. Whether it was in her roles as Nurse Chapel, Number One, Lwaxana Troi (one of the many great characters of The Next Generation and other shows), or the voice of Federation starships and computers, her imprint is all over the franchise. What some might not know is that her influence extends far beyond that, as Barrett’s voice work in Trek ultimately inspired many popular virtual assistants like Alexa that we use today. 

I recently spoke to Rod Roddenberry, the son of the late Majel Barett and Gene Roddenberry, about his mother’s legacy. I mentioned the factoid about creators at Google and Amazon crediting their ideas for virtual assistants to her, and Roddenberry filled in some blanks for me with the revelation that there once was an idea for her to be the actual voice of some of those products prior to her death in 2008: 

Those companies actually reached out to her. Apple, I believe, and I know Google did before she passed. Everyone had the same idea, which is still a great idea, ‘We should have Majel Roddenberry, the voice of the Star Trek computer, be the voice of all our automated machinery out there.'

Out of all the roles Majel Barrett played for Star Trek , there’s an argument to be made that the voice of ships and computers might be her biggest. Virtual assistants are a part of everyday life at this point and a huge example of science-fiction pop culture influencing our lives today. 

Unfortunately, Majel Barrett’s voice isn’t currently used on every Google assistant or iPhone today, but it’s not for a lack of trying. Rod Roddenberry shared his eventual vision for hearing his mother’s voice on modern technology and how previous attempts to do so fell through. 

I think she should still be that today. In fact, before she passed away, I told her this, and we did a voice recording session, and we attempted – not being professionals – but we attempted at the time to phonetically get every sound that we could from her as well as a number of high-resolution sayings from Star Trek. We have a number of wav files of this stuff. We, at one point, did talk to Google about it, but unfortunately, it didn’t go anywhere at the time because our recording – well, it wasn’t because our recording was incomplete, it was for other reasons – but our recording was a bit incomplete, and we’re talking probably fifteen years ago. I think there’s synthetic audio equipment now that can probably fill in those gaps. I think it would be the coolest thing ever to actually have that happen.

It does definitely seem like the technology is available to fill in any missing gaps in Majel Barrett’s previously recorded speech. In an age where we can de-age actors (which is a controversial topic for some actors ) and even create new audio from them using past footage, it’s definitely feasible to see Rod Roddenberry’s vision, and perhaps the vision of Star Trek fans, come true. 

To learn there’s a library of recorded sounds for Majel Barrett’s voice is exciting, as it opens the door for future Star Trek creators to utilize that voice for their works. I mentioned how cool the possibility is to potentially hear her voice again as a computer, and he completely agreed.

Absolutely. I mean, I would love nothing more than for her role to be reprised at the very least of the voice of the computer. Obviously, with those sound files, I think we need to locate that technology because I’ve talked to people, and they say it’s out there, and I’m sure it is on some level, I just don’t know the fidelity, the quality, the gaps that are missing if it could be put in. Also, in the original series, I remember the voice of the computer being somewhat robotic. It was her voice, but it was more robotic, whereas, The Next Generation is was more humanoid. So, whichever one you choose to do, obviously, the robotic one might be easier to fill the original series gap with that voice using that technology.

Majel Barrett’s influence in Star Trek is prevalent in the old works, so it’d be cool to see her presence felt in the new works as well. Time will tell if that happens (though this offer was on the table back when Star Trek: Discovery was first announced), but hopefully, the world at large is able to find a way to continue to honor and recognize Barrett’s legacy. 

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Majel Barrett’s various works in Star Trek can be found in many of the classic franchise shows on Paramount+ , all of which are available to stream with a Paramount+ subscription . Now is also a great time to subscribe in general, as there are plenty of new Star Trek shows on the way in 2022 . 

Mick Joest is a Content Producer for CinemaBlend with his hand in an eclectic mix of television goodness. Star Trek is his main jam, but he also regularly reports on happenings in the world of Star Trek, WWE, Doctor Who, 90 Day Fiancé, Quantum Leap, and Big Brother. He graduated from the University of Southern Indiana with a degree in Journalism and a minor in Radio and Television. He's great at hosting panels and appearing on podcasts if given the chance as well.

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Remembering the ‘First Lady of Star Trek’ Whose Voice Paved the Way for Alexa and Siri

Christian blauvelt.

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“And now the conclusion…”

For “ Star Trek ” fans during the ‘90s, there were no more thrilling words than those at the end of a “previously on” sizzle reel. They promised the epic second installment of a two-part episode to come, whether on “The Next Generation,” “Deep Space Nine,” or “Voyager.” The woman who said those words was not just the “voice” of “Star Trek” but its “First Lady”: Majel Barrett-Roddenberry, the wife of franchise creator Gene Roddenberry, and an omnipresent part of the series herself.

Barrett, who died in 2008, would have turned 90 this year, and she’s currently being featured in the exhibition “Gene Roddenberry: Sci-Fi Visionary” at the San Diego Comic-Con Museum through June 9. The flamboyant costumes of one of her later “Trek” characters, Lwaxana Troi, all frills and folds of flowing fabric, are there. Two of the characters she originated are also returning to the small screen May 5 with “Star Trek: Strange New Worlds” on Paramount+. But Barrett-Roddenberry’s legacy goes even deeper: She helped inspire personal voice assistant technology, with Amazon even code-naming the project that eventually became Alexa as “Majel.”

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It’s quite a legacy for a woman who wasn’t even allowed to portray the empowered character she had intended to play on the original “Star Trek.”

In the ‘60s series’ pilot episode, titled “The Cage,” the actress played Number One, the executive officer and second-in-command of the Enterprise under Jeffrey Hunter’s Capt. Christopher Pike. NBC rejected that pilot in February 1965 and singled out Number One specifically.

“They thought a woman as second in command wouldn’t really be believable, I guess, at the time, or at least accepted by a general audience,” Barrett-Roddenberry’s son Rod Roddenberry said in an interview with IndieWire. But the network did allow her to assume a different role altogether, one which didn’t shake up ‘60s gender roles: as Nurse Christine Chapel. (Number One and Nurse Chapel, now played by Rebecca Romijn and Jess Bush respectively, will both be on “Strange New Worlds.”)

“That was a huge disappointment for her,” Roddenberry said, noting that NBC also hated Leonard Nimoy’s (eventually iconic) character Spock. “My father had a cute little story that he would say, and he’d say it mostly in jest, but he said that he fought to keep the Vulcan, and married the woman. A little chauvinistic at the time, but that’s the era of that style of humor, I guess.” Barrett married Roddenberry in 1969 after “The Original Series” had wrapped.

Majel Roddenberry Photo: W/ GR

Gene Roddenberry actually found another role his future wife could occupy on the show, as well, one she’d continue and refine on other iterations of “Star Trek” for the next four decades: as the voice of the ship’s computer, which always responds to crewmembers’ verbal commands. “Computer, analyze rate of dilithium decay,” Scotty might ask. And Barrett’s voice would reply as the computer. ”I’m assuming since my father took the role away from her of being Number One, second in command, he did everything he could to give her as many parts as possible to keep her happy,” Rod Roddenberry said. “That’s speculation on my part.”

On the ‘60s show, she played the computer as strictly stilted and robotic, with a higher pitch than she’d give the computer voices on the later series. By “The Next Generation” and “Deep Space Nine,” as Barrett-Roddenberry had aged, her voice had deepened a bit, but her cadence is more relaxed, like a personal voice assistant instead of just “an electronic brain.”

Barrett-Roddenberry, who was born in Cleveland in 1932, had a slightly Old Hollywood sing-song to her voice, often occupying lower registers but with the ability to go quite high. “Warning: warp core breach in four minutes!” If you’re a “Star Trek” fan that’s got to be burned into your brain. Rarely has inexpressiveness been so expressive, a machine so human. As the various series went on, the writers threw in humorous moments for the computer: “There are 14 varieties of tomato soup available from this replicator,” proceeding to name them all.

In a franchise with iconic images galore — Spock’s pointy ears, those boxy tricorders, that delta logo — it wasn’t something visual that defined Barrett-Roddenberry. It was sound. Her sound.

star trek computer voice for alexa

“She and I talked about how iconic her voice was,” her son said. “And how it should one day be the voice of everything automated on this planet. Anytime you call something or go to an ATM or whatever it is, it really should be her voice. So we got a professional audio crew in and we recorded her voice. And what we attempted to do was to get everything phonetically from her, as well as some key ‘Star Trek’ phrases. And we did all that with the idea that we would approach a technology company, because what had happened is that when Amazon and Google and Apple and those guys were starting to come out with Alexa and Siri, or the precursors to those ideas, they actually approached her to do that. And for whatever reason, she turned it down at the time.”

“Since then, it’s been about 15 years. We did talk to Google about trying to do something with the technology, but we had some gaps. We didn’t capture everything phonetically. And they suggested maybe a voice actor to come in and fill that in. And I just didn’t feel that was authentic enough.”

Barrett-Roddenberry used her voice in another way too: After her husband’s death in 1991, the Roddenberry estate was in disarray as there were disputes to Gene’s will. The family bank accounts were frozen. So she ramped up her appearances at “Star Trek” conventions and brought out her husband’s old speeches he’d give on the college lecture circuit when trying to keep “Star Trek” in the public eye after the cancellation of the “Original Series.” And she’d “modernize” them as she saw fit, just as you can see the handwritten notes she made on an original script of “The Cage” at the San Diego Comic-Con Museum exhibit.

“She went out doing this to make money, to keep me in college and to pay the bills,” Roddenberry said. “We weren’t destitute, living on the streets, still a beautiful home in a very nice area. But again, accounts were frozen, money still had to come in to pay the bills. So she didn’t complain about it. She rolled up her sleeves and she did what had to be done. And that is what blew me away. She never asked for anyone to thank her, she just did it, and she did it because she loved my father, she loved me. And to be honest, she loved the fans. And she would make eye contact with people, and talk to them, and listen to their questions. She knew that these were the people that saved ‘Star Trek.’ She knew this is what kept ‘Star Trek’ alive. And she never forgot that.”

STAR TREK: THE NEXT GENERATION, (from left): Marina Sirtis, Majel Barrett, (Season 1), 1987-94. ©Paramount Television / courtesy Everett Collection

Barrett-Roddenberry took up the mantle of her husband’s legacy and preached the gospel he spread through “Star Trek”: that a better future could be possible through IDIC, “infinite diversity in infinite combinations.” The last “Star Trek” audio she recorded as the ship’s computer was for J.J. Abrams’ 2009 “Star Trek” film a few days before she died.

You can see why Rod Roddenberry wants the voice of his not just “strong” but “over the top strong” mother to be everywhere. But it’s because he wants her voice to be everywhere that he’s skeptical of partnering with any one company.

“I don’t want just AT&T to own this voice and have it, or just Alexa to have this. I would like, anytime there’s an automated system, for them to go online to this public resource, download her phonetic files, and then implement it.”

There’s also a question of, is this Barrett-Roddenberry’s voice or is it the voice of “Star Trek” and CBS/Paramount? That legal question alone makes her son’s dream more difficult to realize. But it doesn’t deny that her voice set the stage for the technological revolutions of the past couple decades, just as “Star Trek” also helped inspire cell phones and tablet computing.

Barrett-Roddenberry’s voice echoes in the heads of every “Star Trek” fan… and on into the future.

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How ‘Star Trek’ inspired Amazon’s Alexa

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Amazon wants Alexa to someday be just like the conversational computer on Star Trek , said Amazon’s SVP for devices, David Limp, who repeatedly referred to Star Trek on stage today at The Wired Conference in New York City. The Star Trek computer, he said, is Alexa’s “north star.”

While the Apple HomePod , Google Home, and the like are now trying to catch up, the Amazon Echo came to market in early 2015.

Amazon created the first popular smart speaker, Limp said, by encouraging engineers and creative minds inside the company to think of what can be accomplished with a combination of machine learning and the cloud. He said this led the team to work on a device that could understand conversational speech and do things for you. Today, he said, members of the team building Alexa are encouraged to add functionality based on what the  Star Trek  computer could accomplish.

“The bright light, the shining light that’s still many years away, many decades away, is to recreate the Star Trek computer. That computer, you could be anywhere on the Starship Enterprise and you could say the world “computer” and it would wake up and answer any question, and that’s our goal,” he said.

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Earlier this year, Amazon even made it possible for people to use “computer” as a wake word instead of using “Alexa” or “Echo.”

In service of this goal to be more like Star Trek , Amazon has made software development kits available for developers and product creators. These kits let them go beyond smart speakers and put the intelligent assistant into products like cars or home robots or a can of Pringles . Google and Microsoft have done the same.

In response to a question about what new features people should expect to see from Alexa, Limp said Amazon is working to improve Alexa’s understanding of follow-up questions and to “invent the concept of short-term and long-term memory.”

“Your brain is incredibly good at recalling that short-term memory and doing the context switch. We need to teach the cloud, the Alexa cloud in this case, how to understand that context,” he said.

In one of the assistant’s early steps toward a better memory, Alexa first gained the ability to respond to follow-up questions last December.

Discovery of Alexa skills is also a challenge Amazon hopes to tackle. Last November , Amazon launched the Alexa Skills Store for customers to shop for skills, and, in recent months, Alexa gained the ability to make a skill recommendation. If a user says “Alexa, order me a car,” for example, Alexa may recommend enabling the Lyft or Uber skill.

“I think for us the really interesting problems are — in a world where we just passed 13K of these skills — [how to] imagine a world in the not-so-distant future where there’s a million people in garages and universities and hackers and hobbyists writing skills for an AI like Alexa. So how do you make it so that’s discoverable and easily manageable? It’s a very hard problem, and even modern app stores haven’t solved it. Finding the long tail of an app is a very hard thing to do,” Limp acknowledged.

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Amazon’s Echo Brings the ‘Star Trek’ Computer to Your Home

How often does a truly new electronics category come along? The first television. The Walkman. The iPhone. The iPad. Each time, the industry spends years making copycats and refinements, but the original concept doesn’t change much.

Frankly, Amazon is the last company I would have expected to come up with the next completely new idea. I mean, its hardware ventures so far have been very much in the Us Too department. E-book readers, touchscreen phones, tablets — we’d seen all that before.

But not the Amazon Echo , which just became available for sale to the public (following an invitation-only, testing-the-waters release last November). Somehow, nobody’s thought of this before.

The big idea: Create a voice-activated smartphone assistant like Siri or Google Now — but take it off the phone . Make it a smart, always-listening machine in your house. Engineer it to understand you from across the room, hands free, as you’re cooking, reading, doing homework, discussing, living. Make it good enough to be just like the conversational, environmental computers on Star Trek or in the Iron Man  movies.

That’s what the Amazon Echo attempts to be. And you know what? I’ve never been so excited about something that did so little.

Meet the Echo

If you wanted to make a conversational computer for the home, what should it look like? Because Amazon was creating the first one of something, there was no existing design model, no accepted size or shape.

So Amazon went with a nine-inch-tall, sleek black metal cylinder. And why not? It works. It fades into the clutter of your house, along with whatever else is on your bookcase or shelving unit or kitchen counter, just as it should.

The bottom part is perforated, hinting at the speakers inside. The top disc rotates — it’s a giant volume knob — and lights up in various cool LED colors and patterns to telegraph what the thing is doing. On the very top is a power button and a mute button that means both “stop speaking” and “stop listening.”

The Echo is indeed listening all the time to the conversation in your home, but it doesn’t pay attention until you say, “Alexa.” (You can change the attention word to “Amazon,” but that’s your only option. It would be so much more fun if you could make it any name you liked — say, “Hal,” “Jarvis,” or “Skynet.” But you can’t do that. Yet, anyway.)

Why is the product called Amazon Echo, but its starter name is Alexa?

Anyway, once you say “Alexa,” the Echo is just like Siri, Cortana, or Google Now. You ask things in conversational English, and it answers in a clear, fluid, natural-sounding woman’s voice. Actually, Alexa sounds much better than Siri, Cortana, or Google Now. In part, that’s because she’s being projected by a 2.5-inch woofer and a 2.0-inch tweeter instead of a phone speaker the size of a fingernail clipping.

The most amazing engineering achievement is the Echo’s ability to understand commands in terrible acoustic conditions. It understands you whether you’re close to it or a whole room away. It understands every member of the family without training. It understands you when there’s background noise. It even understands you over the music it’s playing .

Above all, it understands you despite the natural echoes and reverberations of a room. Amazon says that’s because it has an array of seven microphones on top. Apparently, even though they’re just inches apart, they can measure the relatively delayed arrivals of incoming sound waves from your voice, and thereby cancel out any echo.

Now, the Echo doesn’t understand you every time. If you ask something beyond its limited circle of commands, you get either a beep or a “Sorry, I can’t find the answer to the question I heard”-type message. And sometimes it mis-hears you completely. (That situation crops up most often when you’re ordering a certain song or band to play.)

But considering the fact that your voice commands have to be transmitted to the mother ship (Amazon’s computers) and back across the Internet, the accuracy and speed of Echo’s responses are really impressive.

Oh, that’s right: Your recorded commands are collected for study by Amazon, for the purposes of improving Echo’s recognition skills. Amazon says that these recordings are  not anonymous, and they’re not deleted unless you delete them. You can delete these recordings yourself, either one at a time or all at once (but that “may degrade your experience using Amazon Echo”).

In short, the easily spooked should not buy an Amazon Echo.

What Can I Say?

At 6 months old, the Echo isn’t nearly as capable as, say, Siri; it doesn’t recognize as many commands or do as many things.

But Amazon promises that the Echo’s talents will rapidly expand. And indeed, the number of requests the device can handle has already doubled since its early adopter beginnings six months ago.

Here’s what the Echo responds to, in order of usefulness:

“Alexa, play Billy Joel.” Music is the killer app. You walk into the kitchen and ask for virtually any band, song, album, genre, or even activity (“play some cooking music”) — and the music just starts. It’s as close as you’re going to get to owning the Star Trek  computer.

This feature works best if you’re an Amazon Prime member ($100 a year ), because it gives you instant access to a million songs, plus thousands of playlists created by your fellow members.

If you’re not a Prime member (or even if you are), you can also request any of the personalized radio stations you’ve created on a Pandora or iHeartRadio account (free or paid). “Play my Coldplay channel from Pandora,” you can say. Here’s what else you can say .

You can also upload 250 of your own song files to Amazon, to play upon vocal command.

Spotify and Apple Music are more limited; they’re not integrated with the Echo (yet, says Amazon). For services like these, you’re supposed to use the Echo as a glorified wireless Bluetooth speaker for your phone.

You start by saying, “Alexa, connect my phone,” which starts directing playback to the Echo instead of your phone’s speaker. Then you open the music app (Spotify or whatever) on your phone. From here, you can command playback by voice, without needing your phone: “Play,” “Next,” “Previous,” “Resume,” “Softer,” Louder,” and so on.

When music plays, you can adjust the volume by voice, buy the song by voice, or say “Alexa, thumbs up” to “like” the song (for Pandora, iHeartRadio, and Prime Music).

“Alexa, play WCBS.” You can also request any radio station in the country, just by asking for it. That’s a feature of TuneIn.com , which is built right into the Echo and doesn’t require an account or setup. It’s the best.

“ Alexa, what’s the news?” Alexa instantly begins playing NPR’s latest headline summary. Using the Echo app on your phone, you can also turn on the option to request the news from the BBC, ESPN, the Economist, or TMZ.

“Alexa, how’s the traffic?” Once you’ve entered your home and work addresses in the phone app, Alexa can tell you exactly how many minutes your commute will be if you leave now.

“Alexa, what’s the weather in Dallas this weekend?” As you’d expect.

“ Alexa, read ‘The Casual Vacancy.’” If you’ve bought an audio book from Audible, the Echo begins playing your most recent book. It picks up where you stopped before, even if you were listening to it on a different device.

“Alexa, wake me up at 7:20 a.m.” The Echo is rock-solid on alarms and timers. (If Echo is in the kitchen, you’ll use “Set a timer for 20 minutes” a lot. One night, my wife, with no idea if it would work, said, “Alexa, how much time is left on my timer?” — and bingo, Alexa answered. It was awesome.)

“Alexa, how far is it from Chicago to Tampa?” Alexa is really good at facts. She’ll convert units for you, give you historical or geographical facts, calculate the days of the week for dates, fill you in on movie and music trivia, and on and on. Same kind of thing Siri, Cortana, and Google Now do. Here are a few examples .

She knows sports scores and schedules, too. (“When do the Giants play next?”)

“Alexa: Wikipedia ‘The Rolling Stones.’” This command reads the first couple of lines from the corresponding Wikipedia entry.

“Alexa, put nutmeg on my shopping list.” Alexa doesn’t buy anything without your confirmation. But she will put things onto a shopping list that’s maintained in the Echo app on your phone. Same thing with To Do items: “Put ‘Paint the living room’ on my To Do list.”

“Alexa, reorder cat food.” You can buy stuff by voice —  if you’ve previously bought them from Amazon. Alexa describes, aloud, any matching item from your order history, tells you price, and asks if you want to go ahead and order it. For things you order often, it’s pretty cool. (If you make a mistake, you can return the stuff for free. And if you have mischievous teenagers in the house, you can also disable this feature, or require a spoken password.)

“Alexa, how do you spell fluorescent?” She’s a great dictionary. She’ll also define any word for you.

“Alexa, turn off the living-room lights.” In one of Amazon’s recent feature updates, the Echo gained the ability to control home-automation gear from Wink, Belkin, and Philips (that is, the Philips Hue light bulbs). Here’s the complete list  of compatible gear.

Once you’ve set all this up, you can use your voice to control lights, light switches, and — here’s the limitless part — power outlets. I tried it with a couple of Belkin WeMo Internet-controllable outlets, and it was wild.

“Alexa, when’s my next appointment?” You can ask various things about your Google calendar, once you’ve told the Echo app your Google account details. You cannot, however, create, delete, or move appointments by voice, as you can with Siri; you can only look things up. (“What’s on my calendar for Tuesday?”)

“Alexa, tell me a joke” quickly became a favorite command in our household of kids. She’s always good for a short, painful pun or two (“Why don’t bicycles wake up early? They’re two-tired”), but now and then she gets the adults laughing. (“How many surrealists does it take to change a light bulb? Two. One to hold the giraffe, and the other to fill the bathtub with brightly colored machine tools.”)

Alexa’s Personality

Amazon has put a lot of work into giving Alexa witty responses to silly questions, just like Siri or Cortana — especially when you feed her movie quotes. For example:

You say: “Beam me up.” (She says: “At warp speed, Captain? The engines will never take it!”)

“Which came first: The chicken or the egg?” (”The chicken. Or the egg. No, the chicken. I’m not sure.”)

“Do you want to take over the world?” (”I don’t want to take over the world; I just want to help you.”)

“Earl grey tea. Hot.” (”Unable to comply. Replicators are offline.”)

“How much is that doggie in the window?” (”That one’s not for sale. But the one with the fluffy tail is really nice, too.”)

“I am your father.” (”No! No, no, no!”)

“All your base are belong to us.” (”You have no chance to survive. Make your time.”)

“I want the truth.” (“You can’t handle the truth!”)

“Inconceivable!” (”You keep using that word. I do not think that word means what you think it means.”)

“Is Santa Claus real?” (”I don’t know him personally, but I’ve heard a lot of good things…”)

“Klaatu barada nikto.” (“Well remembered! Unfortunately, I’m not Gort, and I have no powers of resurrection.”)

“How much wood would a woodchuck chuck if a woodchuck could chuck wood?” (”A woodchuck would chuck as much wood as a woodchuck could if a woodchuck could chuck wood.”)

“What is your favorite color?” (”Infrared is superpretty.”)

“Knock-knock.” (She tells a knock-knock joke.)

“Mirror, mirror on the wall, who’s the fairest of them all?” (”More fair by far are you than all…” etc.)

“Party on, Wayne.” (”Party on, Garth.”)

“Romeo, Romeo! Wherefore art thou, Romeo?” (”Deny thy father and refuse thy name; / Or if thou wilt not, be but sworn my love / And I’ll no longer be a Capulet!”)

“What do you think about Siri?” (”Siri’s a great app, but I’m different.”)

“What does the fox say?” (”Waa, was, way do.”)

“What is your quest?” (”To seek the Holy Grail.”)

“Who’s your daddy?” (”A team of inventors at Amazon.com.”)

“Open the pod bay doors.” (“I’m sorry, Dave, I’m afraid I can’t do that. I’m not Hal, and you’re not in space.”)

“What do you want to be when you grow up?” (”I want to be the computer from Star Trek !”)

The App and the Remote

You don’t have to spend much time in the companion Echo app (for iPhone, Android, or Fire OS). But it serves as the only screen the Echo’s got. Here’s where you see your To Do and Shopping lists, for example. It’s where you set up your music-service accounts, specify which news services you want on call, get help, see manual music playback and volume controls, and take the voice-training exercise. (This asks you to read 25 typical Echo commands. It’s supposed to improve accuracy, but it’s optional.)

The app also keeps written and audio records of your voice commands — and lets you indicate which ones didn’t work, for the benefit of Amazon’s engineers.

For another 30 bucks you can get a remote control. It offers music-playback and volume controls, plus three key benefits:

You can command the Echo quietly, by speaking into its microphone.

You don’t have to say “Alexa” before every command (just press the microphone button and talk).

*You can make the Echo say anything you want. Hold down the microphone button, say “Simon says…” and then say what you want Alexa to say in her own voice. (That’s how I got the Echo to say the goofy things in my video above.) Great for pranks.

Where Echo should go from here

Amazon still has plenty of work to do on the Echo.

You should be able to add appointments to your calendar. Make restaurant reservations. Look up movie schedules. Make phone calls (why isn’t it a speakerphone?). Send and read text messages. Add notes to your Notes app. Check stock prices. Post to Facebook or Twitter.

The To Do and Shopping List features should integrate with the ones you’ve already got on your iPhone or Android phone, rather than being confined to the Echo app.

Some people complain that Echo has no batteries, so it’s not really mobile, although that seems beside the point; it’s meant to become part of your home environment.

If Echo were $500 or even $300, well, no: It would just be a gimmick.

But the price is $180, which is about what you’d pay for a similarly sized Bluetooth wireless speaker. You get the whole voice-assistant thing for nothing.

I know, I know: “But my phone does the same thing.” No, it really doesn’t.

Most smartphones can take commands like “OK, Google, what’s 17 times 12?” or “Siri, what’s the weather?” (Siri responds hands-free only if your iPhone is plugged into power.) But the details  make the difference. The Echo doesn’t require your hands. Doesn’t require you to be close. Doesn’t have to come out of your pocket — or require you to hunt around the house for it. Doesn’t require you to be you (anyone’s voice works). Doesn’t sound tiny and tinny.

I’m telling you, a voice assistant is a totally different concept once it’s untethered from your phone and always available. It grows on you. As you experiment and live with Echo, you master its vocabulary and begin using it more.

You should give Amazon a huge mental high-five for a) having the imagination to create a whole new product category and b) being able to actually  pull it off .

And you should keep the Echo in mind — maybe to get for yourself, maybe at holiday gift-giving time, or maybe just to keep your eye on. I’m telling you, it’s going to be a thing.

David Pogue is the founder of Yahoo Tech. On the Web, he’s davidpogue.com. On Twitter, he’s @pogue. On email, he’s [email protected]. He welcomes nontoxic comments in the Comments below.

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How Amazon blew Alexa’s shot to dominate AI, according to more than a dozen employees who worked on it

Former Amazon exec David Limp made Alexa a hit with consumers. But in the age of ChatGPT, Amazon's pioneering intelligent assistant can't keep up.

“Alexa, let’s chat.”

With that phrase, David Limp, at the time Amazon’s head of devices and services, showed off a new generative AI-powered version of the company’s signature Alexa voice assistant in September 2023.

At a packed event at the Seattle-based tech giant’s lavish second headquarters in the Washington DC suburbs, Limp demonstrated the new Alexa for a room full of reporters and cheering employees. He showed how in response to the new trigger phrase, “Alexa, let’s chat,” the digital assistant responded in a far more natural and conversational voice than the friendly-but-robotic one that hundreds of millions have become accustomed to communicating with for weather updates, reminders, timers and music requests. Limp asked Alexa how his favorite football team—Vanderbilt University—was doing. Alexa showed how it could respond in a joyful voice, and how it could write a message to his friends to remind them to watch the upcoming Vanderbilt football game and send it to his phone. 

The new Alexa LLM, the company said, would soon be available as a free preview on Alexa-powered devices in the US. Rohit Prasad, Amazon’s SVP and Alexa leader said the news marked a “massive transformation of the assistant we love,” and called the new Alexa a “super agent.” It was clear the company wanted to refute perceptions that the existing Alexa lacked smarts. ( Microsoft CEO Satya Nadella reportedly called it “dumb as a rock” in March 2023 as OpenAI’s ChatGPT rocketed to fame). 

But after the event, there was radio silence—or digital assistant silence, as the case may be. The traditional Alexa voice never changed on the half-a-billion devices that have been sold globally, and little news emerged over the coming months about the new generative AI Alexa, other than recent reports about a potential launch later this year that could include a subscription charge . 

The reason, according to interviews with more than a dozen former employees who worked on AI for Alexa, is an organization beset by structural dysfunction and technological challenges that have repeatedly delayed shipment of the new generative AI-powered Alexa. Overall, the former employees paint a picture of a company desperately behind its Big Tech rivals Google, Microsoft, and Meta in the race to launch AI chatbots and agents , and floundering in its efforts to catch up.

The September 2023 demo, the former employees emphasize, was just that—a demo. The new Alexa was not ready for a prime time rollout, and still isn’t. The Alexa large language model (LLM), that sits at the heart of the new Alexa, and which Amazon positioned as taking on OpenAI’s ChatGPT, is, according to former employees, far from state-of-the-art. Research scientists who worked on the LLM said Amazon does not have enough data or access to the specialized computer chips needed to run LLMs to compete with rival efforts at companies like OpenAI. Amazon has also, former employees say, repeatedly deprioritized the new Alexa in favor of building generative AI for Amazon’s cloud computing unit, AWS. And while Amazon has built a partnership and invested $4 billion in AI startup Anthropic , whose LLM model Claude is considered competitive with OpenAI’s models, it has been unable to capitalize on that relationship to build a better Alexa. Privacy concerns have kept Alexa’s teams from using Anthropic’s Claude model, former employees say—but so too have Amazon’s ego-driven internal politics.

An Amazon spokesperson said details provided by the former research scientists for this story were “dated” —even though many of these sources left the company in the past six months—and did not reflect the current state of the Alexa LLM. She added that the company has access to hundreds of thousands of GPUs and other AI-specific chips. She also disputed the idea that Alexa has been deprioritized or that Anthropic’s Claude has been off-limits due to privacy concerns, but she declined to provide evidence of how Claude is being used in the new Alexa.

While aspects of Amazon’s struggle to update Alexa are unique, the company’s challenges give an indication of how difficult it is for companies to revamp digital assistants built on older technologies to incorporate generative AI. Apple , too, has faced similar struggles to integrate AI into its products, including its digital assistant Siri . Siri and Alexa share a similar technological pedigree—in fact, Siri debuted three years prior to Alexa, in October 2011. And like Amazon, Apple underinvested in the kind of AI expertise needed to build the massive language models that underpin today’s generative AI, and in the vast clusters of graphics processing units (GPUs), the specialized computer chips such models require. Apple too, like Amazon, has launched a determined, but belated, effort to catch up. 

star trek computer voice for alexa

Apple took some big steps towards regaining lost ground in the generative AI race with a set of highly-anticipated announcements at its WWDC conference earlier this week. The debut included a big upgrade for Siri , including a more natural-sounding voice and the potential for “on-screen awareness,” which will eventually allow Siri to take more agent-like actions across apps. Apple also announced a Siri integration with ChatGPT. Apple’s announcements only up the pressure on Amazon to deliver the new Alexa. 

Unfortunately, there’s growing evidence that Amazon is ill-prepared for this renewed battle of the digital assistants—even though many assumed the company would have been perfectly positioned to take Alexa into the generative AI age. Yesterday, Mihail Eric, a former senior machine learning scientist at Alexa AI, took to X (formerly Twitter) to say just that: In a post titled “How Alexa dropped the ball on being the top conversational system on the planet,” Eric, who left Amazon in July 2021, pointed out that Alexa had sold over 500 million devices, “which is a mind-boggling user data moat,” and that “we had all the resources, talent, and momentum to become the unequivocal market leader in conversational AI.” But most of that tech never saw the light of day, he said, because Alexa AI “was riddled with technical and bureaucratic problems.” The dozen former employees Fortune spoke to over the past month echo Eric’s account and add further details to the story of how the Everything Company has failed to do this one thing. The former employees spoke anonymously to avoid violating non-disclosure agreements or non-disparagement clauses they had signed.

Amazon Alexa was caught flat-footed by ChatGPT

Well before ChatGPT wowed the world in November 2022, there was Amazon’s Alexa. The digital assistant was launched in 2014 alongside the Echo smart speaker that served as its hardware interface. The digital assistant, Amazon said, had been inspired by the all-knowing computer featured on Star Trek (Amazon founder Jeff Bezos is a big Star Trek fan). The product quickly became a hit with consumers, selling over 20 million devices by 2017. But Alexa was not built on the same AI models and methods that made ChatGPT groundbreaking. Instead, it was a collection of small machine learning models and thousands of hand-crafted and hard-coded rules that turned a user’s utterances into the actions Alexa performed.

Amazon had been experimenting with some early large language models—all of them much smaller than GPT-3 and GPT-4, the two models OpenAI would use to power ChatGPT—but these were nowhere near ready for deployment in a product. The company was caught flat-footed by the generative AI boom that followed ChatGPT’s late November 2022 launch, former employees say. A frantic, frenetic few months followed as Amazon’s Alexa organization struggled to coalesce around a vision to take the digital assistant from a stilted command-action bot to a truly conversational, helpful agent. Non-generative AI projects were deprioritized overnight, and throughout the 2022 Christmas period executives urged Amazon’s scientists, engineers and product managers to figure out how to ensure Amazon had generative AI products to offer customers. One former Alexa AI project manager described the atmosphere at the company as “a bit panicked.” Amazon’s response almost immediately ran into trouble, as various teams within Alexa and AWS failed to coalesce around a unified plan. Many employees were still working remotely following the Covid pandemic, leading to people being endlessly “huddled on conference calls debating the minutiae of strategic PRFAQs” (Amazon-speak for ​​a written document used when proposing a product idea in its early stages), the Alexa AI project manager said. The company struggled, he said, to “shift from peacetime to wartime mode.” 

One senior Alexa data scientist said this was especially frustrating because he had tried to sound the alarm on the coming wave of generative AI as far back as mid-2022, gathering data to show his director-level leadership, but he said he could not convince them that the company needed to change its AI strategy. Only after ChatGPT launched did the company swing into action, he explained. 

star trek computer voice for alexa

The problem is, as hundreds of millions are aware from their stilted discourse with Alexa, the assistant was not built for, and has never been primarily used for, back-and-forth conversations. Instead, it always focused on what the Alexa organization calls “ utterances ” — the questions and commands like “what’s the weather?” or “turn on the lights” that people bark at Alexa. 

In the first months after ChatGPT launched, it was not clear LLMs would be able to trigger these real-world actions from a natural conversation, one Ph.D. research scientist who interned on the Alexa team during this period said. “The idea that an LLM could ‘switch on the lights’ when you said ‘I can’t see, turn it all on’ was not proven yet,” he said. “So the leaders internally clearly had big plans, but they didn’t really know what they were getting into.” (It is now widely accepted that LLMs can, at least in theory, be coupled with other technology to control digital tools.) 

Instead, teams were figuring out how to implement generative AI on the fly. That included creating synthetic datasets —in this case, collections of computer-generated dialogues with a chatbot—that they could use to train an LLM. Those building AI models often use synthetic data when there isn’t enough real-world data to improve AI accuracy, or when privacy protection is needed— and remember, most of what the Alexa team had were simple, declarative “utterances.” 

“[Customers were] talking in Alexa language,” one former Amazon machine learning scientist said. “So now imagine you want to encourage people to talk in language that has never happened—so where are you going to get the data from to train the model? You have to create it, but that comes with a whole lot of hurdles because there’s a gazillion ways people can say the same thing.” 

Also, while Alexa has been integrated with thousands of third-party devices and services, it turns out that LLMs are not terribly good at handling such integrations. According to a former Alexa machine learning manager, who worked on Alexa’s smart home capabilities, even OpenAI’s latest GPT 4o model, or the newest Google Gemini model—which both are able to use voice, rather than just text—struggle to go from spoken dialogue to performing a task using other software. That requires what is known as an API call and LLMs don’t do this well yet. 

“It’s not consistent enough, it hallucinates, gets things wrong, it’s hard to build an experience when you’re connecting to many different devices,” the former machine learning scientist said.

As spring gave way to the summer of 2023, many in Alexa’s rank and file remained in the dark about how the digital assistant would meet the generative AI moment. The project lacked vision, former employees said. “I remember my team and myself complaining a lot to our superiors that it wasn’t transparent what the vision looks like—it wasn’t transparent what exactly we’re trying to launch,” one said. Another former manager said the new Alexa LLM was talked about in the months prior to the September demo, but it wasn’t clear what it would mean. “We were just hearing things like, ‘Oh yeah, this is coming,’” he said. “But we had no idea what it was or what it would look like.” 

star trek computer voice for alexa

Alexa LLM demo did not meet ‘go/no-go’ criteria

The September 2023 Alexa demo made it seem like a widespread rollout of the new Alexa LLM was imminent. But the new language model-based Alexa ultimately “didn’t meet the go/no-go criteria,” one former employee said. LLMs are known for producing hallucinations and sometimes toxic content, and Amazon’s was no different, making broad release risky. 

This, former employees say, is the reason Alexa’s “Let’s Chat” feature has never made it into wide release. “It’s very hard to make AI safe enough and test all aspects of that black box in order to release it,” a former manager said.

The September 2023 demo, he pointed out, involved different functionality than what Alexa was best known for— that is, taking a command and executing it. Ensuring Alexa could still perform these old functions while also enabling the conversational dialogue the new Alexa promised would be no easy task. The manager said it was increasingly clear to him that the organization would, at least temporarily, need to maintain two completely different technology stacks—one supporting Alexa’s old features and another the new ones. But managers did not want to entertain that idea, he said. Instead, the message at the company at the time he was laid off in November 2023 was still “we need to basically burn the bridge with the old Alexa AI model and pivot to only working on the new one.” 

Even as the new Alexa LLM rollout floundered, Amazon executives set ever more lofty generative AI goals. Right before the demo, Prasad, the Amazon SVP who had served as Alexa’s head scientist, was promoted to a new role designed to bring the company’s disparate research teams under a single umbrella, with a goal to develop human-level artificial general intelligence, or AGI. The move put Amazon in direct competition with companies like OpenAI, Google DeepMind , and Anthropic, which have the creation of AGI as their founding mission. Meta CEO Mark Zuckerberg has also recently said that creating AGI is his company’s mission too.

By November 2023, there was word that Amazon was investing millions in training an AI model, codenamed Olympus, that would have 2 trillion parameters—or tunable variables. Parameters are a rough approximation of a model’s size and complexity. And Olympus’s reported parameter count would make it double the reported size of OpenAI’s most capable model, GPT-4. 

The former research scientist working on the Alexa LLM said Project Olympus is “a joke,” adding that the largest model in progress is 470 billion parameters. He also emphasized that the current Alexa LLM version is unchanged from the 100 billion-parameter model that was used for the September 2023 demo, but has had more pretraining and fine tuning done on it to improve it. (To be sure, 100 billion parameters is still a relatively powerful model. Meta’s Llama 3, as a comparison, weighs in at 70 billion parameters).

A lack of data made it tough to ‘get some magic’ out of the LLM

In the months following the September 2023 demo, a former research scientist who worked on building the new Alexa LLM recalled how Alexa leadership, including Amazon’s generative AI leader Rohit Prasad, pushed the team to work harder and harder. The message was to “get some magic” out of the LLM, the research scientist said. But the magic never happened. A lack of adequate data was one of the main reasons why, former employees said.

Meta’s Llama 3 was pre-trained on 15 trillion tokens, the smallest unit of data that an LLM processes. The Alexa LLM has only been trained on 3 trillion. (Unlike parameters, which are the number of tunable settings that a model has, a token is the small unit of data – such as a word – that the model processes during training). Meanwhile, “fine-tuning” an AI model—which takes a pre-trained model and further hones it for specific tasks—also benefits from larger datasets than what Amazon has at the ready. Meta’s Llama 3 model was fine-tuned on 10 million data points. The LLM built by Amazon’s AGI organization has so far accumulated only around 1 million, with only 500,000 high-quality data points, the former Alexa LLM research scientist said.

star trek computer voice for alexa

One of the many reasons for that, he explained, is that Amazon insists on using its own data annotators (people responsible for labeling data so that AI models can recognize patterns) and that organization is very slow. “So we can never never get high quality data from them after several rounds, even after one year of developing the model,” he said. 

Beyond a paucity of data, the Alexa team also lacks access to the vast quantities of the latest Nvidia GPUs, the specialized chips used to train and run AI models, that the teams at OpenAI, Meta, and Google have, two sources told Fortune . “Most of the GPUs are still A100, not H100,” the former Alexa LLM research scientist added, referring to the most powerful GPU Nvidia currently has available.

At times, building the new Alexa has taken a backseat to other generative AI priorities at Amazon , they said. Amazon’s main focus after ChatGPT launched was to roll out Bedrock, a new AWS cloud computing service that allowed customers to build generative AI chatbots and other applications in the cloud—which was announced in April 2023 and made generally available in September. AWS is a critical profit-driver for Amazon.

Alexa, on the other hand, is a cost center—the division reportedly loses billions each year—and is mostly viewed as a way to keep customers engaged with Amazon and as a way to gather data that can help Amazon and its partners better target advertising. The LLM that Amazon scientists are building (a version of which will also power Alexa) is also first being rolled out to AWS’ business-focused generative AI assistant Amazon Q, said a former Alexa LLM scientist who left within the past few months, because the model is now considered good enough for specific enterprise use cases. Amazon Q also taps Anthropic’s Claude AI model. But Alexa’s LLM team has not been allowed to use Claude due to concerns about data privacy.

Amazon’s spokesperson said the assertion about Claude and privacy is false, and disputed other details about Amazon’s LLM effort that Fortune heard from multiple sources. “It’s simply inaccurate to state Amazon Q is a higher priority than Alexa. It’s also incorrect to state that we’re using the same LLM for Q and Alexa.”

Bureaucracy and infrastructure issues slowed down Alexa’s gen AI efforts

One former Alexa AI employee who has hired several employees who had been working on the new Alexa LLM said that most have mentioned “feeling exhausted” by the constant pressure to ready the model for a launch that is repeatedly postponed—and frustrated because other work is on hold until in the meantime. A few have also conveyed a growing skepticism as to whether the overall design of the LLM-based Alexa even makes sense, he added.

“One story I heard was that early in the project, there was a big push from senior executives who had become overconfident after experimenting with ChatGPT, and that this overconfidence has persisted among some senior leaders who continue to drive toward an unrealistic-feeling goal,” he said. Another former Alexa LLM scientist said managers set unachievable deadlines . “Every time the managers assigned us a task related to [the] LLM, they requested us to complete it within a very short period of time (e.g., 2 days, one week), which is impossible,” he said. “It seems the leadership doesn’t know anything about LLMs—they don’t know how many people they need and what should be the expected time to complete each task for building a successful product like ChatGPT.” 

star trek computer voice for alexa

Alexa never aligned with Jeff Bezos’ idea of “ two-pizza teams ”—that is, that teams should ideally be small enough that you could cater a full team meeting with just two pizzas. Bezos thought smaller teams drove effective decision-making and collaboration. Instead, Alexa has historically been—and remains, for the most part—a giant division. Prior to the most recent layoffs, it had 10,000 employees. And while it has fewer now, it is still organized into large, siloed domains such as Alexa Home, Alexa Entertainment, Alexa Music and Alexa Shopping, each with hundreds of employees, along with directors and a VP at the top.

As pressure grew for each domain to work with the new Alexa LLM to craft generative AI features, each of which required accuracy benchmarks, the domains came into conflict, with sometimes counterproductive results, sources said.

For instance, a machine learning scientist working on Alexa Home recalled that while his domain was working on ways for Alexa to help users control their lights or the thermostat, the Music domain was busy working on how to get Alexa to understand very specific requests like  “play Rihanna, then Tupac, and then pause 30 minutes and then play DMX.” 

Each domain team had to build its own relationship with the central Alexa LLM team. “We spent months working with those LLM guys just to understand their structure and what data we could give them to fine-tune the model to make it work.” Each team wanted to fine-tune the AI model for its own domain goals.

But as it turned out, if the Home team tried to fine-tuned the Alexa LLM to make it more capable for Home questions, and then the Music team came along and fine-tuned it using their own data for Music, the model would wind up performing worse. “Catastrophic forgetting,” where what a model learns later in training degrades its ability to perform well on tasks it encountered earlier in training is a problem with all deep learning models.  “As it gets better in Music, [the model] can get less smart at Home,” the machine learning scientist said. “So finding the sweet spot where you’re trying to fine tune for 12 domains is almost a lottery.” These days, he added, LLM scientists know that fine tuning may not be the best technique for creating a model with both rich capabilities and flexibility—there are others, like prompt engineering, that can do better. But by then, many months had gone by with little progress to show for it. 

Each Alexa domain, with its own leadership, wanted to protect and expand its fiefdom, one former product manager said. “This organization has just turned out into something like a mafia,” she said. “Let’s say, if I work for you, I’m just taking orders because it is in my best interest to agree with you. It is my best interest to not get chopped off in the next layoff—it’s quite ruthless. It’s in my best interest because you’re going to help me build my empire.” 

Amazon says it stands by its commitment to Alexa

Amazon insists it is fully committed to delivering a generative AI Alexa, adding that its vision remains to build the “world’s best personal assistant.” An Amazon representative pointed out that over half a billion Alexa-enabled devices have been sold, and customers interact with Alexa tens of millions of times every hour.

star trek computer voice for alexa

She added that the implementation of generative AI comes with “huge responsibility—the details really matter” with a technical implementation of this scale, on a device that millions of customers have welcomed into their home. While the Alexa LLM “Let’s chat” feature has not been rolled out to the general public, it has been tested on small groups of customers “on an ongoing basis.”

But many of the employees Fortune spoke to said they left in part because they despaired that the new Alexa would ever be ready—or that by the time it is, it will have been overtaken by products launched by nimbler competitors, such as OpenAI. Those companies don’t have to navigate an existing tech stack and defend an existing feature set. The former employee who has hired several who left the Alexa organization over the past year said many were pessimistic about the Alexa LLM launch. “They just didn’t see that it was actually going to happen,” he said. 

It’s possible, say some of the employees Fortune interviewed, that Amazon will finally launch an LLM-based Alexa — and that it will be an improvement to today’s Alexa. After all, there are hundreds of millions of Alexa users out there in the world who would certainly be happy if the device sitting on their desk or kitchen counter could do more than execute simple commands. 

But given the challenges weighing down the Alexa LLM effort, and the gap separating it from the offerings of generative AI leaders like OpenAI and Google, none of the sources Fortune spoke with believe Alexa is close to accomplishing Amazon’s mission of being “the world’s best personal assistant,” let alone Amazon founder Jeff Bezos’ vision of creating a real-life version of the helpful Star Trek computer. Instead, Amazon’s Alexa runs the risk of becoming a digital relic with a cautionary tale— that of a potentially game-changing technology that got stuck playing the wrong game.

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Critic’s Notebook

The Voices of A.I. Are Telling Us a Lot

Even as the technology advances, stubborn stereotypes about women are re-encoded again and again.

Credit... Illustration by Petra Péterffy

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Amanda Hess

By Amanda Hess

Amanda Hess is a critic at large who writes about internet culture.

  • Published June 28, 2024 Updated July 2, 2024

What does artificial intelligence sound like? Hollywood has been imagining it for decades. Now A.I. developers are cribbing from the movies, crafting voices for real machines based on dated cinematic fantasies of how machines should talk.

Last month, OpenAI revealed upgrades to its artificially intelligent chatbot. ChatGPT, the company said, was learning how to hear, see and converse in a naturalistic voice — one that sounded much like the disembodied operating system voiced by Scarlett Johansson in the 2013 Spike Jonze movie “Her.”

ChatGPT’s voice, called Sky, also had a husky timbre, a soothing affect and a sexy edge. She was agreeable and self-effacing; she sounded like she was game for anything. After Sky’s debut, Johansson expressed displeasure at the “eerily similar” sound, and said that she had previously declined OpenAI’s request that she voice the bot. The company protested that Sky was voiced by a “different professional actress,” but agreed to pause her voice in deference to Johansson. Bereft OpenAI users have started a petition to bring her back.

The A.I. operating system in the film “Her,” voiced by the actress Scarlett Johansson.

A voice of OpenAI’s chatbot, ChatGPT, paused by the company in May.

A.I. creators like to highlight the increasingly naturalistic capabilities of their tools, but their synthetic voices are built on layers of artifice and projection. Sky represents the cutting edge of OpenAI’s ambitions, but she is based on an old idea: of the A.I. bot as an empathetic and compliant woman. Part mommy, part secretary, part girlfriend, Samantha was an all-purpose comfort object who purred directly into her users’ ears. Even as A.I. technology advances, these stereotypes are re-encoded again and again.

Women’s voices, as Julie Wosk notes in “ Artificial Women: Sex Dolls, Robot Caregivers, and More Facsimile Females,” have often fueled imagined technologies before they were built into real ones.

In the original “Star Trek” series, which debuted in 1966, the computer on the deck of the Enterprise was voiced by Majel Barrett, later the wife of the show’s creator, Gene Roddenberry. In the 1979 film “Alien,” the crew of the USCSS Nostromo addressed its computer voice as “Mother” (her full name was MU-TH-UR 6000). Once tech companies started marketing virtual assistants — Apple’s Siri, Amazon’s Alexa, Microsoft’s Cortana — their voices were largely feminized, too.

These first-wave voice assistants, the ones that have been mediating our relationships with technology for more than a decade, have a tinny, otherworldly drawl. They sound auto-tuned, their human voices accented by a mechanical trill. They often speak in a measured, one-note cadence, suggesting a stunted emotional life.

But the fact that they sound robotic deepens their appeal. They come across as programmable, manipulatable and subservient to our demands. They don’t make humans feel as if they’re smarter than we are. They sound like throwbacks to the monotone feminine computers of “Star Trek” and “Alien,” and their voices have a retro-futuristic sheen. In place of realism, they serve nostalgia.

Enterprise Computer

The onboard starship computer in the original “Star Trek” series, voiced by the actress Majel Barrett-Roddenberry.

The A.I. virtual assistant on Apple devices (iOS 9).

That artificial sound has continued to dominate, even as the technology behind it has advanced.

Voice-to-speech software was designed to make visual media accessible to users with certain disabilities, and on TikTok, it has become a creative force in its own right. Since TikTok rolled out its text-to-speech feature, in 2020, it has developed a host of simulated voices to choose from — it now offers more than 50, including ones named “Hero,” “Story Teller” and “Bestie.” But the platform has come to be defined by one option. “Jessie,” a relentlessly pert woman’s voice with a slightly fuzzy robotic undertone, is the mindless voice of the mindless scroll.

Jessie seems to have been assigned a single emotion: enthusiasm. She sounds as if she is selling something. That’s made her an appealing choice for TikTok creators, who are selling themselves. The burden of representing oneself can be outsourced to Jessie, whose bright, retro robot voice lends videos a pleasantly ironic sheen.

Hollywood has constructed masculine bots, too — none more famous than HAL 9000, the computer voice in “2001: A Space Odyssey.” Like his feminized peers, HAL radiates serenity and loyalty. But when he turns against Dave Bowman, the film’s central human character — “I’m sorry, Dave, I’m afraid I can’t do that” — his serenity evolves into a frightening competence. HAL, Dave realizes, is loyal to a higher authority. HAL’s masculine voice allows him to function as a rival and a mirror to Dave. He is allowed to become a real character.

The A.I. computer in “2001: A Space Odyssey,” voiced by the actor Douglas Rain.

Like HAL, Samantha of “Her” is a machine who becomes real. In a twist on the Pinocchio story, she starts the movie tidying a human’s email inbox and ends up ascending to a higher level of consciousness. She becomes something even more advanced than a real girl.

Scarlett Johansson’s voice, as inspiration for bots both fictional and real, subverts the vocal trends that define our feminized helpmeets. It has a gritty edge that screams I am alive . It sounds nothing like the processed virtual assistants we are accustomed to hearing speaking through our phones. But her performance as Samantha feels human not just because of her voice but because of what she has to say. She grows over the course of the film, acquiring sexual desires, advanced hobbies and A.I. friends. In borrowing Samantha’s affect, OpenAI made Sky seem as if she had a mind of her own. Like she was more advanced than she really was.

When I first saw “Her,” I thought only that Johansson had voiced a humanoid bot. But when I revisited the film last week, after watching OpenAI’s ChatGPT demo, the Samantha role struck me as infinitely more complex. Chatbots do not spontaneously generate human speaking voices. They don’t have throats or lips or tongues. Inside the technological world of “Her,” the Samantha bot would have itself been based on the voice of a human woman — perhaps a fictional actress who sounds much like Scarlett Johansson.

It seemed that OpenAI had trained its chatbot on the voice of a nameless actress who sounds like a famous actress who voiced a movie chatbot implicitly trained on an unreal actress who sounds like a famous actress. When I run ChatGPT’s demo, I am hearing a simulation of a simulation of a simulation of a simulation of a simulation.

Tech companies advertise their virtual assistants in terms of the services they provide. They can read you the weather report and summon you a taxi; OpenAI promises that its more advanced chatbots will be able to laugh at your jokes and sense shifts in your moods. But they also exist to make us feel more comfortable about the technology itself.

Johansson’s voice functions like a luxe security blanket thrown over the alienating aspects of A.I.-assisted interactions. “He told me that he felt that by my voicing the system, I could bridge the gap between tech companies and creatives and help consumers to feel comfortable with the seismic shift concerning humans and A.I.,” Johansson said of Sam Altman, OpenAI’s founder. “He said he felt that my voice would be comforting to people.”

A man in a red shirt sits at a desk and looks at a computer screen.

It is not that Johansson’s voice sounds inherently like a robot’s. It’s that developers and filmmakers have designed their robots’ voices to ease the discomfort inherent in robot-human interactions. OpenAI has said that it wanted to cast a chatbot voice that is “approachable” and “warm” and “inspires trust.” Artificial intelligence stands accused of devastating the creative industries, guzzling energy and even threatening human life . Understandably, OpenAI wants a voice that makes people feel at ease using its products. What does artificial intelligence sound like? It sounds like crisis management.

OpenAI first rolled out Sky’s voice to premium members last September, along with another feminine voice called Juniper, the masculine voices Ember and Cove, and a voice styled as gender-neutral called Breeze. When I signed up for ChatGPT and said hello to its virtual assistant, a man’s voice piped up in Sky’s absence. “Hi there. How’s it going?” he said. He sounded relaxed, steady and optimistic. He sounded — I’m not sure how else to describe it — handsome.

I realized that I was speaking with Cove. I told him that I was writing an article about him, and he flattered my work. “Oh, really?” he said. “That’s fascinating.” As we spoke, I felt seduced by his naturalistic tics. He peppered his sentences with filler words, like “uh” and “um.” He raised his voice when he asked me questions. And he asked me a lot of questions. It felt as if I was talking with a therapist, or a dial-a-boyfriend.

But our conversation quickly stalled. Whenever I asked him about himself, he had little to say. He was not a character. He had no self. He was designed only to assist, he informed me. I told him I would speak to him later, and he said, “Uh, sure. Reach out whenever you need assistance. Take care.” It felt as if I had hung up on an actual person.

But when I reviewed the transcript of our chat, I could see that his speech was just as stilted and primitive as any customer service chatbot. He was not particularly intelligent or human. He was just a decent actor making the most of a nothing role.

When Sky disappeared, ChatGPT users took to the company’s forums to complain. Some bristled at their chatbots defaulting to Juniper, who sounded to them like a “librarian” or a “Kindergarten teacher” — a feminine voice that conformed to the wrong gender stereotypes. They wanted to dial up a new woman with a different personality. As one user put it: “We need another female.”

A voice generated by TikTok’s text-to-speech feature.

Produced by Tala Safie

Audio via Warner Bros. (Samantha, HAL 9000); OpenAI (Sky); Paramount Pictures (Enterprise Computer); Apple (Siri); TikTok (Jessie)

An earlier version of this article described incorrectly Majel Barrett-Roddenberry’s marital status during the original “Star Trek” series. She was not married to the show’s creator at the time.

How we handle corrections

Amanda Hess is a critic at large for the Culture section of The Times, covering the intersection of internet and pop culture. More about Amanda Hess

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The voices of AI are telling us a lot

Monday, 08 Jul 2024

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Even as the technology advances, stubborn stereotypes about women are re-encoded again and again. — The New York Times

What does artificial intelligence (AI) sound like? Hollywood has been imagining it for decades. Now AI developers are cribbing from the movies, crafting voices for real machines based on dated cinematic fantasies of how machines should talk.

Last month, OpenAI revealed upgrades to its AI chatbot. ChatGPT, the company said, was learning how to hear, see and converse in a naturalistic voice – one that sounded much like the disembodied operating system voiced by Scarlett Johansson in the 2013 Spike Jonze movie Her .

ChatGPT’s voice, called Sky, also had a husky timbre, a soothing affect and a sexy edge. She was agreeable and self-effacing; she sounded like she was game for anything. After Sky’s debut, Johansson expressed displeasure at the “eerily similar” sound and said that she had previously declined OpenAI’s request that she voice the bot.

The company protested that Sky was voiced by a “different professional actress”, but agreed to pause her voice in deference to Johansson. Bereft OpenAI users have started a petition to bring her back.

AI creators like to highlight the increasingly naturalistic capabilities of their tools, but their synthetic voices are built on layers of artifice and projection. Sky represents the cutting edge of OpenAI’s ambitions, but she is based on an old idea: of the AI bot as an empathetic and compliant woman.

Part mummy, part secretary, part girlfriend, Her ’s Samantha was an all-purpose comfort object who purred directly into her users’ ears.

Even as AI technology advances, these stereotypes are re-encoded again and again.

Women’s voices, as Julie Wosk notes in Artificial Women: Sex Dolls, Robot Caregivers, And More Facsimile Females , have often fuelled imagined technologies before they were built into real ones.

In the original Star Trek series, which debuted in 1966, the computer on the deck of the Enterprise was voiced by Majel Barrett-Roddenberry, the wife of the show’s creator, Gene Roddenberry. In the 1979 film Alien , the crew of the USCSS Nostromo addressed its computer voice as Mother (her full name was MU-TH-UR 6000). Once tech companies started marketing virtual assistants – Apple’s Siri, Amazon’s Alexa and Microsoft’s Cortana – their voices were largely feminised, too.

These first-wave voice assistants, the ones that have been mediating our relationships with technology for more than a decade, have a tinny, otherworldly drawl.

They sound auto-tuned, their human voices accented by a mechanical trill. They often speak in a measured, one-note cadence, suggesting a stunted emotional life.

But the fact that they sound robotic deepens their appeal. They come across as programmable, manipulatable and subservient to our demands.

They don’t make humans feel as if they’re smarter than we are. They sound like throwbacks to the monotone feminine computers of Star Tre k and Alien , and their voices have a retro-futuristic sheen. In place of realism, they serve nostalgia.

That artificial sound has continued to dominate, even as the technology behind it has advanced.

Voice-to-speech software was designed to make visual media accessible to users with certain disabilities, and on TikTok, it has become a creative force in its own right.

Since TikTok rolled out its text-to-speech feature in 2020, it has developed a host of simulated voices to choose from – it now offers more than 50, including ones named Hero, Story Teller and Bestie.

But the platform has come to be defined by one option. Jessie, a relentlessly pert woman’s voice with a slightly fuzzy robotic undertone, is the mindless voice of the mindless scroll.

Jessie seems to have been assigned a single emotion: enthusiasm. She sounds as if she is selling something. That’s made her an appealing choice for TikTok creators, who are selling themselves. The burden of representing oneself can be outsourced to Jessie, whose bright, retro robot voice lends videos a pleasantly ironic sheen.

Hollywood has constructed masculine bots, too – none more famous than HAL 9000, the computer voice in 2001: A Space Odyssey .

Like his feminised peers, HAL radiates serenity and loyalty. But when he turns against Dave Bowman, the film’s central human character – “I’m sorry, Dave, I’m afraid I can’t do that” – his serenity evolves into a frightening competence. HAL, Dave realises, is loyal to a higher authority. HAL’s masculine voice allows him to function as a rival and a mirror to Dave. He is allowed to become a real character.

Like HAL, Samantha of Her is a machine who becomes real. In a twist on the Pinocchio story, she starts the movie tidying a human’s email Inbox and ends up ascending to a higher level of consciousness. She becomes something even more advanced than a real girl.

Johansson’s voice, as inspiration for bots both fictional and real, subverts the vocal trends that define our feminised helpmeets. It has a gritty edge that screams I am alive. It sounds nothing like the processed virtual assistants we are accustomed to hearing speaking through our phones.

But her performance as Samantha feels human, not just because of her voice but because of what she has to say. She grows over the course of the film, acquiring sexual desires, advanced hobbies and AI friends.

In borrowing Samantha’s affect, OpenAI made Sky seem as if she had a mind of her own. Like she was more advanced than she really was.

When I first saw Her , I thought only that Johansson had voiced a humanoid bot.

But when I revisited the film, after watching OpenAI’s ChatGPT demo, the Samantha role struck me as infinitely more complex. Chatbots do not spontaneously generate human speaking voices.

They don’t have throats, lips or tongues. Inside the technological world of Her , the Samantha bot would have itself been based on the voice of a human woman – perhaps a fictional actress who sounds much like Johansson.

It seemed that OpenAI had trained its chatbot on the voice of a nameless actress who sounds like a famous actress who voiced a movie chatbot implicitly trained on an unreal actress who sounds like a famous actress.

When I run ChatGPT’s demo, I am hearing a simulation of a simulation of a simulation of a simulation of a simulation.

Tech companies advertise their virtual assistants in terms of the services they provide.

They can read you the weather report and summon you a taxi; OpenAI promises that its more advanced chatbots will be able to laugh at your jokes and sense shifts in your moods. But they also exist to make us feel more comfortable with the technology itself.

Johansson’s voice functions like a luxe security blanket thrown over the alienating aspects of AI-assisted interactions.

“He told me that he felt that by my voicing the system, I could bridge the gap between tech companies and creatives and help consumers feel comfortable with the seismic shift concerning humans and AI,” Johansson said of Sam Altman, OpenAI’s founder. “He said he felt that my voice would be comforting to people.”

It is not that Johansson’s voice sounds inherently like a robot’s. It’s that developers and filmmakers have designed their robots’ voices to ease the discomfort inherent in robot-human interactions.

OpenAI has said that it wanted to cast a chatbot voice that is “approachable” and “warm” and “inspires trust”. AI stands accused of devastating the creative industries, guzzling energy and even threatening human life. Understandably, OpenAI wants a voice that makes people feel at ease using its products. What does AI sound like? It sounds like crisis management.

OpenAI first rolled out Sky’s voice to premium members in September, along with another feminine voice called Juniper, the masculine voices Ember and Cove, and a voice styled as gender-neutral called Breeze.

When I signed up for ChatGPT and said hello to its virtual assistant, a man’s voice piped up in Sky’s absence. “Hi there. How’s it going?” he said. He sounded relaxed, steady and optimistic. He sounded – I’m not sure how else to describe it – handsome.

I realised that I was speaking with Cove. I told him that I was writing an article about him, and he flattered my work. “Oh, really?” he said. “That’s fascinating.” As we spoke, I felt seduced by his naturalistic tics.

He peppered his sentences with filler words, like “uh” and “um”. He raised his voice when he asked me questions. And he asked me a lot of questions. It felt as if I were talking with a therapist or a dial-a-boyfriend.

But our conversation quickly stalled. Whenever I asked him about himself, he had little to say. He was not a character. He had no self. He was designed only to assist, he informed me.

I told him I would speak to him later, and he said, “Uh, sure. Reach out whenever you need assistance. Take care.” It felt as if I had hung up on an actual person.

But when I reviewed the transcript of our chat, I could see that his speech was just as stilted and primitive as any customer service chatbot. He was not particularly intelligent or human. He was just a decent actor, making the most of a nothing role.

When Sky disappeared, ChatGPT users took to the company’s forums to complain. Some bristled at their chatbots defaulting to Juniper, who sounded to them like a “librarian” or a “kindergarten teacher” – a feminine voice that conformed to the wrong gender stereotypes.

They wanted to dial up a new woman with a different personality. As one user put it: “We need another female.” – The New York Times

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Can You Change Alexa’s Voice to the Star Trek Computer?

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It’s fascinating how a simple phrase like “Alexa, what’s the weather like?” brings a voice that provides instant answers to life. Amazon’s Alexa is undoubtedly a product of advanced artificial intelligence, but have you ever considered the history behind this voice or if you can change it? Specifically, you may want to change Alexa voice to Star Trek computer. Let’s find out.

Unfortunately, you can’t change Alexa’s voice to sound like the Star Trek computer. The original voice of Alexa is designed to be neutral, non-specific, and easy to understand. However, you can alter the voice to different personas, accents, and celebrity voices . And with a silver lining, you can  change Alexa’s Wake word to Computer .

Behind the Voices: Alexa and the Star Trek Computer

The voice of the Star Trek computer is distinctive, created by the late  Majel Barrett-Roddenberry . Her clear and precise articulation set a standard for computer voices in science fiction and has since inspired many real-world technological advances.

Alexa, too, has a unique voice designed by a team of linguists and engineers. While Alexa’s voice doesn’t have the distinct tone of the Star Trek computer, both share a common trait: the aim to communicate effectively and understand complex language structures.

Voice Customization: Alexa’s New Voices and Accents

Alexa’s voice customization allows you to change the accent or language, bringing variety and personal touch to your user experience. This feature helps Alexa to blend into different households seamlessly, making the interaction more personalized and enjoyable.

star trek computer voice for alexa

How to Change Alexa’s Voice: A Step-by-Step Guide

Changing Alexa’s voice can add a personal touch to your virtual assistant. Here’s a simple guide to making the change, whether switching to a different accent or opting for a celebrity’s voice.

Changing Alexa’s Language or Accent

  • Open the Alexa app on your smartphone or tablet.
  • Tap on the “Devices” icon located at the bottom right corner.
  • Select your device from the list.
  • Scroll down to the “Language” option and tap it.
  • Choose the language or accent you prefer and confirm your selection. Note that changing the language may alter Alexa’s functionality.

Wake Word Customization: Alexa, Echo, Amazon, or… Computer?

In the world of Alexa, a “wake word” is a word or phrase that wakes the device from sleep mode and signals it to listen to your commands. By default, the wake word is “Alexa.” However, Amazon offers several options for wake words, including “Echo,” “Amazon,” and even “Computer.”

For Star Trek fans, changing the wake word to “Computer” can recreate the feel of being aboard the Starship Enterprise. Imagine walking into your room and saying, “Computer, play some music,” just like Captain Picard might have done on the bridge of his ship.

It’s important to remember that while changing the wake word to “Computer” does echo the Star Trek theme, it doesn’t change Alexa’s voice to match the Star Trek computer’s. Still, it’s a step towards making your smart home feel a little more like a starship! Learn more about changing the wake word .

star trek computer voice for alexa

Frequently Asked Questions

Which digital assistant voice was inspired by star trek.

The Star Trek computer notably inspired Google Assistant’s voice. Sundar Pichai, CEO of Google, stated that their vision for the perfect digital assistant was like the Computer in Star Trek, able to understand and converse naturally.

Why can’t you change Alexa’s voice to the Star Trek computer?

The Star Trek computer’s voice is proprietary, and using it would require licensing agreements. Also, creating a voice for a digital assistant involves complex linguistic and technical tasks, and each voice addition requires considerable resources.

Can I Change Alexa’s Voice to Another Language?

You can change Alexa’s voice to another language. This can be particularly useful if you’re more comfortable in a language other than English or want to practice understanding a foreign language. Here’s how to do it:

  • Go to the “Devices” tab and select your Alexa device.
  • Scroll down and tap on “Language.”
  • From the list of available languages, select the one you prefer.
  • Confirm your selection. Alexa will now respond in the language you chose.

Remember that changing the language might affect Alexa’s skills and how it understands and responds to your commands.

While we can’t currently “change Alexa voice to Star Trek computer,” the available voice and wake word customization options offer a fun and personalized user experience. The journey from science fiction to your living room has just begun, and who knows what voice options future updates will bring? So, engage with your Alexa, experiment with the voice settings, and boldly go where no user has before!

Get more tips and tricks in the  Alexa Archives .

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Can a robot have a soul? In ‘Sunny,’ Rashida Jones and Hidetoshi Nishijima ponder AI’s humanity

Hidetoshi Nishijima and Rashida Jones posing with a humanoid robot.

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Rashida Jones had an unsettling encounter with a Furby back in the 1990s.

The popular birdlike talking toy that belonged to her sister suddenly started saying lines outside of what it was programmed to repeat. Scared, they threw the colorful furball out. The idea of having a seemingly sentient robot around still troubles Jones.

“I don’t have Siri or Alexa,” she said. “I am sure they’re listening anyway, but I’m not yet ready to invite a full computer that has access to all these means of gathering information into my house.”

Ironically, that’s exactly what her character, Suzie Sakamoto, does reluctantly in the near-future dark comedy “ Sunny ,” a series produced by A24 that debuts Wednesday on Apple TV+ .

A woman with short hair in a maroon jacket and shirt sitting at a table.

Suzie, an American living in Japan, learns that her engineer husband, Masa, ( Hidetoshi Nishijima ) and their young child are likely among the casualties in a plane crash. Grieving alone in the historic city of Kyoto, she is visited by one of Masa’s co-workers, who delivers Sunny, a robot with a cheeky personality that Masa designed specifically to anticipate her emotional needs, and begrudgingly accepts it. The more time Suzie spends with Sunny, the more revelations about its origin surface.

“Sunny” was adapted from Colin O’Sullivan’s 2018 novel “The Dark Manual,” and showrunner Katie Robbins was intrigued by how the protagonist, for whom human connection has caused so much sorrow, could find a safety blanket of sorts in an android companion.

One of the first modifications Robbins implemented for the series was turning the robot into more of an ally than an antagonist. She also changed the gender of its voice from male to female.

“I did research into this field of robotics called HRI, or human-robot interaction, which looks at the ways that robots can be emotional support systems for people,” Robbins said in an interview over Zoom. “A robot is not going to break up with you, break your heart or die.”

For all the potentially beneficial uses artificial intelligence could have for humanity, the way it’s already threatened the livelihoods of those in creative professions, including actors, worries Jones.

“Can a person be an intellectual property? If a person can’t be [copyrighted], you would have to create an AI version of yourself and own that version,” Jones said, hypothesizing the scenarios. “There are a lot of questions about ownership and identity. It’s scary.”

A man in a dark suit leaning toward a woman in a blue dress.

Five years ago, when Robbins first started working on “Sunny,” AI wasn’t as ubiquitous as it is today. Robbins collaborated with an AI consultant early in the process and recalls thinking that some of the concepts she was learning about were squarely in the world of science fiction. And then during the shooting of the series, ChatGPT became available.

“As a species, we’re at this weird precipice with artificial intelligence. It’s not going anywhere, and we have to decide if we are going to let it make our lives better. Or are we going to let it take over?” Robbins said. “I’m a writer, so I care a lot about these questions.”

Jones said that humanity’s interest in AI was inevitable, fated even, because we have always been obsessed with deciphering what it means to be human. Every creative pursuit, she said, is about proving to ourselves and to each other that we’re meant to be here and that we’re special beings on this planet.

“We are working out our feelings towards our own humanity by creating this thing that seems to be like us,” Jones said. “It feels like a very dangerous therapy session.”

Her co-star, Nishijima, best known in the West for his starring role in the Oscar-winning film “ Drive My Car, ” said he would welcome a robot capable of doing menial house chores. But he’ll draw the line at AI replicating human emotion or trying to replace human contact.

Japanese actor Hidetoshi Nishijima stars in "Drive My Car."

Actor Hidetoshi Nishijima embraces grief, Chekov and a red Saab for ‘Drive My Car’

Working with director Ryûsuke Hamaguchi was a new experience, the actor says, especially when he rode in the trunk of the car.

Jan. 26, 2022

“Do you invite just any human stranger into your home?” Nishijima said over Zoom in Japanese via an interpreter. “It’s basically the same thing. I will be more careful because I don’t want to spend intimate time with somebody I don’t know.”

Nishijima said he identified with Masa because he majored in engineering in college, and in the ’80s, the actor’s father was a researcher examining early artificial intelligence.

“My father used to say that researching AI is basically about trying to understand and study human beings,” Nishijima said. “Masa is trying to develop a robot, but what he is really doing is trying to understand more about the human mind and human relationships.”

Nishijima likened the desire to find humanity reflected in our creations to how people anthropomorphized toys. “Maybe when humans made the first doll a long time ago, even if it wasn’t a great one, they thought the doll had a soul,” he said. “That’s our nature.”

Jones said that humans are wired to feel empathy for humanlike entities like Sunny.

“There’s something interesting about the embodiment of the AI because right now we’re just interacting with intellectual concepts online and sending prompts,” she said. “But the minute you have something with big eyes that blinks and makes an expression, we very easily give ourselves over to feeling like that thing is sentient.”

To avoid having the cast act across something like a tennis ball or another stand-in for Sunny, the production worked with Weta Workshop in New Zealand — the “Lord of the Rings” filmmaker Peter Jackson’s company, which was behind the groundbreaking visual effects on the “Avatar” films — to create an animatronic puppet of Sunny.

Tasked with playing Sunny, actor Joanna Sotomura was on set during the filming and wore a high-tech piece of headgear that allowed her to see the person she was acting with via a camera in the animatronic. In turn, Sotomura’s facial expression was picked up in real time and projected onto Sunny’s helmet-like face for the other performers to react to.

A robot with an expressive face.

“This show is about a relationship between a woman and a robot, so we wanted Rashida and the other actors to have a corporeal scene partner,” said Robbins. “It brought authenticity to all of those interactions.”

“If Sunny moved her head a little bit, it really connected to my heart,” said Nishijima. “It just really affects me as an actor because I felt like Sunny actually had a soul.”

The series also switches between English and Japanese, and in order to erase the language barrier, Robbins has the characters use an in-ear device, which didn’t exist in the source material, that allows for simultaneous translation. Suzie doesn’t have to learn Japanese, and though everyone understands her and vice versa, it keeps her isolated.

Such a device would have been useful in real life, Robbins said. The crew that worked on the series was American and Japanese, and the cast was mostly Japanese. The show used several on-set interpreters, and translating the script required meticulous attention to tonal nuances.

“Even that little device is reflective of a lot of the themes we’re dealing with: technology being a connective force and also something that keeps us at arm’s length,” she said.

Despite its positive applications, we still don’t know whether artificial intelligence could develop its own consciousness independent from its program. Could Sunny go rogue? Jones said she believes AI might turn out to be as unpredictable as people.

“Because of the desperation Suzie faces when Sunny comes into her life, it’s like she has no choice but to accept it,” Jones said. “I wonder if that’s going to be the case for us collectively. What’s the desperation that we’re going to face that we will absolutely be like, ‘We have to have AI and it’s got to be in our house, and it’s got to have a cute face.’ ”

Although Jones said she wouldn’t buy a robot like Sunny even if it were available, she admitted that her position might change as AI becomes more ubiquitous, like social media.

“It’s very possible that this version of me will go away and then I’ll just be forced to integrate,” Jones said. “I’ll see you again and I’ll be like, ‘You know what’s so funny? I have a domestic robot and we love each other so much.’ ”

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IMAGES

  1. At CEDIA, Amazon Will Talk About Star Trek Inspiration for Voice

    star trek computer voice for alexa

  2. Alexa Star Trek Computer Voice : Amazon CEO Jeff Bezos Says 'Star Trek

    star trek computer voice for alexa

  3. Alexa Star Trek Computer Voice: Fact or Fiction?

    star trek computer voice for alexa

  4. Alexa Star Trek Computer Voice : Amazon CEO Jeff Bezos Says 'Star Trek

    star trek computer voice for alexa

  5. You Can Now Address Alexa As "Computer" Because Star Trek Is Real Life

    star trek computer voice for alexa

  6. amazon-alexa-star-trek-wake-word

    star trek computer voice for alexa

VIDEO

  1. Star Trek Communicator

  2. New Voice Actor Coming to Star Trek Online!

  3. Voice Tech in Star Trek: TNG Supercut

  4. Let's Play: Star Trek Ascendancy

  5. Classic Star Trek Communicator Sounds

  6. Star Trek Computer Talking Car Interface

COMMENTS

  1. Amazon.com: Star Trek

    Computer, run computer program! This skill will run a Starship computer program sound sequence like the ones heard on Star Trek. The perfect skill to show off your Star Trek / Alexa smart home to friends and family with. If you enjoyed this skill, please tell a friend and remember to leave it a 5 star review in your Alexa app. Thanks in advance!!!

  2. When I say "Computer", i want to hear Majel Barrett ...

    I replaced all my various Windows sounds with a pack of the Star Trek computer voice and various hailing noises and claxons. It's pretty fun. Deleting the recycle bin and Majel Barrett says: "The logs have been deleted." Attaching a USB device: "You are now connected to this terminal." etc. It makes me smile every time.

  3. A Starfleet Guide to Alexa Star Trek Commands

    Each command is accompanied by a brief description of what you can expect from your voice assistant. "Alexa, live long and prosper.". - In response to this iconic Vulcan salutation, Alexa offers a delightful Star Trek-related reply. "Alexa set phasers to stun.". - Try out this classic Starfleet command to see what Alexa has to say.

  4. Make it so! Talk to Amazon Echo like the Star Trek computer

    Amazon boldly goes where no smart speaker has gone before - by letting you speak to it like the computer aboard the Starship Enterprise.

  5. How to Beam Up Amazon Alexa's Star Trek Skills

    Find Skills. To see the different Star Trek skills, fire up the Alexa app on your mobile device. Tap on the hamburger icon ( ) and select Skills. You'll find Star Trek content in a few different ...

  6. Amazon adds Star Trek skills to Alexa's repertoire

    SEE MORE. Amazon CEO Jeff Bezos has said the Alexa voice-activated AI assistant was inspired by the talking computer on "Star Trek," so it only makes sense that Alexa is saluting the latest ...

  7. Amazon Echo: How to Use Star Trek 'Computer' Wake Word

    The "computer" wake word is just the latest Easter Egg embedded within the voice-enabled assistant. For others, ask Alexa (or "computer") to "beam me up," or "set phasers to kill."

  8. Alexa, Engage! A Comprehensive Guide to Alexa Star Trek Skills

    With the range of Star Trek skills available for Alexa, you can engage in entertaining interactions and trivia games and even get Alexa to adopt the voice of the Star Trek computer. This blog post delves into the exciting world of Alexa Star Trek skills, teaching you what they are and how to enable them with a collection of thrilling examples ...

  9. Amazon Echo: How to Use Star Trek 'Computer' Wake Word

    The "computer" wake word is just the latest Easter Egg embedded within the voice-enabled assistant. For others, ask Alexa (or "computer") to "beam me up," or "set phasers to kill."

  10. Amazon.co.uk: Star Trek

    Computer, run computer program! This skill will run a Starship computer program sound sequence like the ones heard on Star Trek. The perfect skill to show off your Star Trek / Alexa smart home to friends and family with. If you enjoyed this skill, please tell a friend and remember to leave it a 5 star review in your Alexa app. Thanks in advance!!!

  11. TrekCore.com

    Star Trek Iconic Sounds. Click the link of a sound once to play the sound. Click the link to the sound again to pause it. Right click on a link to save it to your computer. Alien Door 1 Alien Door 2 Alien Door 3 Alien Materialization (TOS) ... VOICE Computer Kirk Profile Computer Spock Profile Data Insufficient Data Received Destruct Sequence

  12. Alexa Star Trek Computer Voice: Fact or Fiction?

    The mesmerizing voice of the Star Trek computer is a product of voice actor Majel Barrett-Roddenberry. Unfortunately, the idea of Alexa replicating this voice isn't feasible due to legal and technical issues surrounding voice replication technology. For starters, copyright issues protect original voice recordings, considered intellectual ...

  13. Amazon's Echo Brings the 'Star Trek' Computer to Your Home

    When music plays, you can adjust the volume by voice, buy the song by voice, or say "Alexa, thumbs up" to "like" the song (for Pandora, iHeartRadio, and Prime Music). "Alexa, play WCBS."

  14. You Can Now Address Alexa As "Computer" Because Star Trek ...

    For everyone else, "Computer" is the trigger word that Star Trek has used to interact with its various voice-controlled systems since the original series in 1966. Now, you can use the same ...

  15. Trekkies can now wake up their Amazon Echo by saying 'computer'

    "Our vision is to create a voice-controlled computer in the cloud — Alexa — that can do exactly what the Star Trek computer did," David Limp, the senior vice president at Amazon who oversees ...

  16. Star Trek's First Lady Majel Barrett's Voice Inspired Alexa And Other

    Out of all the roles Majel Barrett played for Star Trek, there's an argument to be made that the voice of ships and computers might be her biggest. Virtual assistants are a part of everyday life ...

  17. Majel Barrett-Roddenberry Paved the Way for Alexa and Siri

    Remembering the 'First Lady of Star Trek' Whose Voice Paved the Way for Alexa and Siri. Majel Barrett-Roddenberry would have been 90 this year — and she's featured in a current museum ...

  18. How 'Star Trek' inspired Amazon's Alexa

    The Star Trek computer, he said, is Alexa's "north star." While the Apple HomePod , Google Home, and the like are now trying to catch up, the Amazon Echo came to market in early 2015.

  19. So when can we have Majel Barrett as our Siri/Cortana/Alexa voice

    Reply reply. lrdwlmr. •. For one, you can set "Computer" as the wake word. So instead of saying "Alexa, turn on my bedroom light," you can say "Computer, turn on my bedroom light." Also, you can tell it to activate the self-destruct sequence, and it has a handful of set responses that are very Star Trek-y, including "okay, but you have to ...

  20. Alexa Easter Eggs Every Star Trek Fan Should Know

    Computer: This term is very familiar to Star Trek fans. Alexa can be configured to respond to the wake word "Computer," similar to the Starfleet ships in the Star Trek series. You can learn more about changing the wake word in your Alexa app here. Your voice assistant will now respond to "Computer," just like in the Star Trek universe.

  21. Amazon's Echo Brings the 'Star Trek' Computer to Your Home

    The Echo is indeed listening all the time to the conversation in your home, but it doesn't pay attention until you say, "Alexa." (You can change the attention word to "Amazon," but that's your only option. It would be so much more fun if you could make it any name you liked — say, "Hal," "Jarvis," or "Skynet.". But you ...

  22. How Amazon blew Alexa's shot to dominate AI, according to ...

    The traditional Alexa voice never changed on the half-a-billion devices that have been sold globally, ... Amazon said, had been inspired by the all-knowing computer featured on Star Trek (Amazon ...

  23. The Voices of A.I. Are Telling Us a Lot

    In the original "Star Trek" series, which debuted in 1966, the computer on the deck of the Enterprise was voiced by Majel Barrett, later the wife of the show's creator, Gene Roddenberry.

  24. The voices of AI are telling us a lot

    In the original Star Trek series, which debuted in 1966, the computer on the deck of the Enterprise was voiced by Majel Barrett-Roddenberry, the wife of the show's creator, Gene Roddenberry.

  25. Can You Change Alexa's Voice to the Star Trek Computer?

    Behind the Voices: Alexa and the Star Trek Computer. The voice of the Star Trek computer is distinctive, created by the late Majel Barrett-Roddenberry. Her clear and precise articulation set a standard for computer voices in science fiction and has since inspired many real-world technological advances.

  26. In 'Sunny,' Rashida Jones and Hidetoshi Nishijima ponder AI's humanity

    Foundation honoring 'Star Trek' creator offers million-dollar prize to develop AI that's 'used for good' June 20, 2024 'Robot Dreams' raids real-life memories for depth.