Conditioning an SOT multi-talker ASR decoder on EEND-EDA speaker embeddings and activity information lowers WER on Libri2Mix and Libri3Mix, provided the diarization branch is accurate.
Our initial analy- sis, through visualization of source-target attention weights in an SOT-based model, revealed that the decoder performs a de- gree of speaker separation
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SC-SOT: Conditioning the Decoder on Diarized Speaker Information for End-to-End Overlapped Speech Recognition
Conditioning an SOT multi-talker ASR decoder on EEND-EDA speaker embeddings and activity information lowers WER on Libri2Mix and Libri3Mix, provided the diarization branch is accurate.