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arXiv AI By M\'at\'e Gedeon, P\'eter Mihajlik

On the Role of Conversational Timing in Synthetic Training Data for ASR

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arXiv:2607. 08371v1 Announce Type: cross Abstract: Synthetic multi-speaker conversations are widely used to train conversational automatic speech recognition (ASR) systems, but it remains unclear which timing properties make simulated data most useful.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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