Call me when it can figure out my wife's Italian name, pronounced correctly :-(
Google’s new voice recognition system works instantly and offline (Pixel only)
41–50 of 157 posts
Re: Google’s new voice recognition system works instantly and offline (Pixel only)
#42"But it’s sort of funny considering hardly any of Google’s other products work offline. Are you going to dictate into a shared document while you’re offline? Write an email? Ask for a conversion between liters and cups? You’re going to need a connection for that!" While offline, you might write email drafts, your blog, or even a book: https://medium.com/@augustbirch/what-i-learned-writing-an-en... What's missing is t…
Google Maps has an excellent offline mode on iOS and Android. I wish Apple Maps had that too.
If only it didn't force-expire downloaded maps after a while...
Re: Google’s new voice recognition system works instantly and offline (Pixel only)
#43Finally google has caught up to 1997: https://en.wikipedia.org/wiki/Dragon_NaturallySpeaking
Sure it might work better now, but that's expected when computers are much more powerful than a pentium 100 with 32MB of RAM. Uploading voice to google servers for processing was always just a data grab.
Re: Google’s new voice recognition system works instantly and offline (Pixel only)
#44Earlier quoted context omitted.
CNN's are only mentioned because of potential processing considerations as computationally, they are easier to deal with. But given the nature of speech recognition, which is so highly temporally correlated, it shouldn't be a surprise that a recurrent neural network would be used. This is pretty much exactly the purpose the RNN type of model architecture was designed for. Also if you haven't looked into the propertie…
I take it you haven't been following the field lately, have you? It is surprising because convnets just work better for speech recognition ([1] is the latest SOA). I'm guessing gated convolutional LMs are slower than RNN transducers when deployed on mobile. Can someone confirm? [1] https://arxiv.org/abs/1812.06864
There is also the transformer approach (eventually with local attention to bound latency), (like I'm doing in my project (Work in Progress) : https://github.com/GistNoesis/Wisteria/blob/master/SpeechToT... ), though it's in the same line of thought as the convolutional CTC.
The RNN-T is a nice idea though, if I understand it correctly it's another approach to the alignment problem. In CTC, you are generating sequence like TTTTHHHEE CCCAAATT, which mean that your language model must deal with these repetitions, and you can't train using text without repetitions. In RNN-T you are learning to advance the cursor on either audio sequence or text sequence so as to maintain alignment, kind of like you do when you merge-sort two sorted lists, therefore it outputs THE CAT, and you can use a standard language model.
Re: Google’s new voice recognition system works instantly and offline (Pixel only)
#45I just switched my Pixel 1 to airplane mode and tried voice input. Sure enough, it worked offline and it was fast! Very impressive work. (I've tried that before, but in the past it could only understand a few special phrases.) I suppose this new feature came with the security update my phone downloaded a few days ago. There are lots of ways to spin this, but I see it as a significant improvement for any app that coul…
Unless you very recently (meaning today) accepted a download of a new language pack for English, it's likely just the old model, which is perfectly functional, while not being as accurate as the online version.
Re: Google’s new voice recognition system works instantly and offline (Pixel only)
#46Finally google has caught up to 1997: https://en.wikipedia.org/wiki/Dragon_NaturallySpeaking Sure it might work better now, but that's expected when computers are much more powerful than a pentium 100 with 32MB of RAM. Uploading voice to google servers for processing was always just a data grab.
Well, try to train your Dragon (no pun intended) and then let another person speak, possibly someone with a different accent.
GBoard works somewhat reliably with 0 training and my Italian accent, that's an apple to oranges comparison.
Re: Google’s new voice recognition system works instantly and offline (Pixel only)
#47I just switched my Pixel 1 to airplane mode and tried voice input. Sure enough, it worked offline and it was fast! Very impressive work. (I've tried that before, but in the past it could only understand a few special phrases.) I suppose this new feature came with the security update my phone downloaded a few days ago. There are lots of ways to spin this, but I see it as a significant improvement for any app that coul…
Unless you very recently (meaning today) accepted a download of a new language pack for English, it's likely just the old model, which is perfectly functional, while not being as accurate as the online version.
OK, thanks for the clarification.
Re: Google’s new voice recognition system works instantly and offline (Pixel only)
#48Finally google has caught up to 1997: https://en.wikipedia.org/wiki/Dragon_NaturallySpeaking Sure it might work better now, but that's expected when computers are much more powerful than a pentium 100 with 32MB of RAM. Uploading voice to google servers for processing was always just a data grab.
is more than just newer hardware. These CNN/RNN based methods are vastly more robust than older bayessian/markov based methods.
Re: Google’s new voice recognition system works instantly and offline (Pixel only)
#49Re: Google’s new voice recognition system works instantly and offline (Pixel only)
#50Finally google has caught up to 1997: https://en.wikipedia.org/wiki/Dragon_NaturallySpeaking Sure it might work better now, but that's expected when computers are much more powerful than a pentium 100 with 32MB of RAM. Uploading voice to google servers for processing was always just a data grab.
is more than just newer hardware. These CNN/RNN based methods are vastly more robust than older bayessian/markov based methods.
> These CNN/RNN based methods are vastly more robust than older bayessian/markov based methods.
They were invented in the 80's, they weren't used because of limited processing power.