Speaker diarization—separating speech from different speakers—is critical for joint speech recognition. New research based on a recurrent neural network transducer architecture improves diarization performance by a factor of ~10. Learn how it's done here:
Joint Speech Recognition and Speaker Diarization via Sequence Transduction
Posted by Laurent El Shafey, Software Engineer and Izhak Shafran, Research Scientist, Google ... more
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