More detail on how @Google achieved >92% Speaker Diarization.
“our model uses Chinese restaurant process to accommodate the unknown number of speakers. Each speaker starts with its own RNN instance and keeps updating the RNN“
https://ai.googleblog.com/2018/11/accurate-online-speaker-diarization.html …pic.twitter.com/TECM9oDi07
1:15 PM - 12 Nov 2018
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