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“That’s really important to us, and something that we’re focusing heavily on this year at CES. But we’ve also just qualified with Baidu, so that’s very exciting, and we’re doing some work with NTT Docomo as well. We’re expanding across the regions.” Outside the home XMOS currently specializes in edge-of-room voice applications, but it’s investigating other areas too, including in-car interfaces. “The technology that we’ve been developing over in Boston – sound source separation, which extracts multiple voices in a conversation – works really well for automotive,” says Connock.
“So if you can imagine that I can be on the phone to you and I’m driving, it strips out everything that you can hear except for my voice. The kids can be shouting in the back, they can have a film that’s playing, and all you’ll get is my voice.” The company also has an interesting prediction for the future of voice: as a personal assistant (in a flexible, wearable smartphone) that will sit between us and the big companies that currently provide voice recognition services. “If I look at Amazon and Google (and to a degree Apple, with Apple music), they have a bias because they’re trying to sell us stuff.
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And I love Amazon for selling me stuff, but what I don’t want is voice spam, and the minute that starts to happen, people will switch away from voice,” explains Connock. The solution would be a kind of mid-layer that filters out any spam, and points you to the service that has the most relevant content for you (which it will learn based on your preferences). Your digital twin It’s not just a theory – XMOS is already having conversations to make it happen. “It will happen quickly,” Connock says, “so we are looking at partnering, building, buying to create that ecosystem.
So there’s a lot within that – there are lots of people we know operating in that space today. It’s open and it’s ready and we want to be taking advantage of it. It will learn not just my music preferences, but my everything preferences Esther Connock, XMOS According to Connock, this will result in the creation of a ‘digital twin’ – a term that she admits sounds a bit twee, but is useful. It will learn and adapt to the way you use it. For example, it could learn that you don’t want it to speak to you unless you’ve spoken first. “It will learn not just my music preferences, but my everything preferences. When I want to be disturbed, my friends that I will prioritize talking to – everything.
An Introduction To Convenient smartphone Plans - Galaxy Note 8 vs the top big phones on the market: a size comparison
” Naturally speaking However, even with a truly personal assistant to filter out any spam, voice recognition still faces some resistance. “When you look at this,” Connock says, picking up her smartphone, “this is always on, it has a camera, it can always hear you, it’s got sensors, it gathers a lot of data, you type everything into it, and because we’re so used to it and so reliant on it, and it’s so close to us, people don’t see this as a privacy issue at all. The field is advancing really, really fast. It could even be tomorrow that something more natural comes up there Alex Craciun, XMOS “And yet when you put a speaker in the middle of the room, everyone says ‘Oh, it’s listening!
’ Well it is, but not as much as [the phone] is!” Connock believes that relevant, trusted content will be the key to voice becoming widely accepted. The moment the industry puts sales ahead of the user’s experience, it will have a problem, so XMOS is making sure it’s on the front foot, and prepared to react in case that happens. There’s also the question of natural speech, as opposed to commands.
Alexa Skills are very handy, but they’re not the same as talking to another human. XMOS’s algorithm engineers are working on making the interaction much more organic.
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