Fine-tuning Whisper with serialized output training and role-specific tokens produces role-aware transcripts in one pass, cutting multi-talker word error rate by 10 to 40 percent versus a WavLM CTC baseline.
One model to rule them all? towards end-to-end joint speaker diarization and speech recognition,
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Joint ASR and Speaker Role Tagging with Serialized Output Training
Fine-tuning Whisper with serialized output training and role-specific tokens produces role-aware transcripts in one pass, cutting multi-talker word error rate by 10 to 40 percent versus a WavLM CTC baseline.