CALM jointly models acoustic speaker identity and linguistic context to cut biased error rates by more than half on two-speaker English and Japanese mixtures.
M2Met: The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Challenge
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CALM: Joint Contextual Acoustic-Linguistic Modeling for Personalization of Multi-Speaker ASR
CALM jointly models acoustic speaker identity and linguistic context to cut biased error rates by more than half on two-speaker English and Japanese mixtures.