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.
Dataset The training set consists of LibriSpeech-360h [27], Libri2Mix, and Libri3Mix [28]
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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.