E2E Segmenter: Joint Segmenting and Decoding for Long-Form ASR. (arXiv:2204.10749v2 [cs.SD] UPDATED)

Web: http://arxiv.org/abs/2204.10749

Improving the performance of end-to-end ASR models on long utterances ranging
from minutes to hours in length is an ongoing challenge in speech recognition.
A common solution is to segment the audio in advance using a separate voice
activity detector (VAD) that decides segment boundary locations based purely on
acoustic speech/non-speech information. VAD segmenters, however, may be
sub-optimal for real-world speech where, e.g., a complete sentence that should
be taken as a whole may contain hesitations in the middle ("set …

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