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Efficient ASR Training with Conversations that Never Happened

M\'at\'e Gedeon, P\'eter Mihajlik
Jun 3, 2026 at 04:00
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arXiv:2606.03957v1 Announce Type: cross Abstract: Conversational ASR for lower-resource languages and niche domains is limited by the scarcity of domain-matched multi-speaker training data. We propose an augmentation pipeline that generates scenario-level dialogues with participant metadata, maps speaker attributes to TTS voice profiles, and...

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