DialectS2S: End-to-End Speech Dialogue Modeling for Low-Resource Chinese Dialects

Excerpt

arXiv:2608.08067v2 Announce Type: replace-cross Abstract: Current end-to-end speech dialogue models are primarily optimized for mainstream languages and remain limited in low-resource dialect scenarios due to the scarcity of dialect speech data. Moreover, during dialect adaptation, the semantic representation space of speech dialogue models continuously evolves, while conventional speech supervision remains unchanged, leading to semantic inconsistency between hidden representations and speech ta