DialectS2S: End-to-End Speech Dialogue Modeling for Low-Resource Chinese Dialects
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 targets and degrading speech stability and naturalness. To address these issues, we propose DialectS2S, an end-to-end speech dialogue model for Chinese dialects. We first develop a scalable dialect speech dialogue synthesis pipeline for efficient data const...
| Authors | Yi Shu, Tianyu Peng, Yingzhuo Deng et al. |
|---|---|
| Primary category | cs.CL |
| Published | 8 August 2026 |
| Last updated at source | 14 August 2026 |
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