Task-dependent simulation strategies for synthetic conversational data allow synthetic-only training to approach real-data baselines for multi-talker ASR and diarization, with mixing yielding further gains.
Generating data with text-to-speech and large-language models for conver- sational speech recognition,
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Mind the Gap: Impact of Synthetic Conversational Data on Multi-Talker ASR and Speaker Diarization
Task-dependent simulation strategies for synthetic conversational data allow synthetic-only training to approach real-data baselines for multi-talker ASR and diarization, with mixing yielding further gains.