3 ms·
It would be a slow (but very efficient information-wise - only have to send text which itself can be compressed!) decompression process with current models / ha
by kastnerkyle 10y ago
It would be a slow (but very efficient information-wise - only have to send text which itself can be compressed!) decompression process with current models / hardware due to sequential relationships in generation.
I am sure people will start trying to speed this up, as it could be a game changer in that space with a fast enough implementation. Google also has a lot of great engineers with direct motivation to get it working on phones, and a history of porting recent research in to the Android speech pipeline.
The results speak for themselves - step 1 is almost always "make it work" after all, and this works amazingly well! Step 2 or 3 is "make it fast", depending who you ask.
- Houshalter 10y agoWe've known for decades that neural networks are really good at image and video compression. But as far as I know, this has never been used in practice, because the compression and decompression times are ridiculous. I imagine this would be even more true for audio.
- dharma1 10y agoThe magic pony guys (who sold to twitter) have patents and implementations of a super resolution CNN for realtime video. http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Shi_Real-Time_Single_Image_CVPR_2016_paper.pdf http://www.cv-foundation.org/openaccess/content_cvpr_2016/pa...