8 ms·
We’re so close to voice recognition being perfected but we can’t seem get over the final hurdles for everyone to use it. Is it simply a matter of collecting mo
by melling 9y ago
We’re so close to voice recognition being perfected but we can’t seem get over the final hurdles for everyone to use it.
Is it simply a matter of collecting more data?
Google is collecting more voice data in Docs.
http://www.pcworld.com/article/3038200/data-center-cloud/how-to-use-voice-dictation-in-google-docs.html http://www.pcworld.com/article/3038200/data-center-cloud/how...
And Mozilla is doing common voice:
https://voice.mozilla.org https://voice.mozilla.org
- ximeng 9y agoI dislike the way Google collects AI training data for reCaptcha to the extent I often will not bother rather than log in to sites like Stack Overflow that use it. Common voice sounds like a much more open approach to which I would actually be interested in helping. From this paper Microsoft are hitting similar accuracy to professional transcribers, so it may not be accuracy that's holding back adoption. There also seems to be a trend away from voice interaction these days, I send messages far more than I talk to people by phone and I don't think I'm alone in preferring this in many cases. Having automatic transcription of voice messages might be useful, but I suspect privacy issues would prevent that becoming widespread without more trust in the companies providing these services.
- melling 9y agoI send more text messages these days too. However, I try to dictate them. Basic editing by voice is definitely needed.
- visarga 9y agoThere are many kinds of voice recognition software. The ones that give state of the are accuracy are too expensive to run at internet scale. Maybe Google can do it with their specialized TPUs that run inference cheaper than GPUs.