In 2019 AlphaCephei has made quite some good progress. We have introduced a project called Vosk which is meant to be a portable API for speech recognition for variety of...
I noticed a big slowdown in RELU layer performance recently, essentially the RELU operation can now take up to 10% in the total CPU count. This is with kernel 4.15....
A Highly Efficient Distributed Deep Learning System for Automatic Speech Recognition Wei Zhang, Xiaodong Cui, Ulrich Finkler, George Saon, Abdullah Kayi, Alper Buyuktosunoglu, Brian Kingsbury, David Kung, Michael Picheny https://www.isca-speech.org/archive/Interspeech_2019/pdfs/2700.pdf...
Spatial and Spectral Fingerprint in The Brain: Speaker Identification from Single Trial MEG Signals Oral; 1000–1020 Debadatta Dash (The University of Texas at Dallas), Paul Ferrari (University of Texas at...
Overall, it is going pretty good. Many very good papers, diarization joins with decoding, everything goes to the right direction. RadioTalk: a large-scale corpus of talk radio transcripts Doug Beeferman...
It is interesting how similar ideas raise here and there in seemingly unrelated context. The recent quote from Actionable Book Summary: The Inevitable by Kevin Kelly And what’s next probably...
An important issue with a modern neural networks is their vulnerability to the masked corruption, that is the random corruption of some small amount of samples in the image or...
I've got quite interested in the future prediction these days, one nice idea by Russian writer Sergey Borisovich Pereslegin is that we should build the future based on the theory...
Dear friends, as you know Google+ is shutting down. I considered several alternatives: Facebook, Quora, Linkedin, my old blog, Reddit, Twitter, Telegram. Unfortunately there are things I dislike in all...
In speech recognition we frequently deal with noisy or simply corrupted recordings. For example, in call center recordings you still get error rates like 50% or 60% even with the...