Technical Practice of Dialect Speech Synthesis
CosyVoice implements dialectal speech synthesis through a multi-task learning framework, and its 300M-SFT model is specifically optimized for dialects such as Sichuan and Cantonese, using three key technologies:
- phoneme expansion: Dialect-specific phoneme library covering 95% articulatory features
- Rhythmic modeling: LSTM-based dialectal intonation predictor
- data enhancement: 100,000 hours of dialect-Mandarin parallel corpus
In the example, the developer only needs to pass in the command "say this sentence in Sichuan", and the system will automatically switch to dialect mode. Measurements show that the naturalness MOS of Sichuan dialect synthesis reaches 4.8 points, with a phoneme accuracy of 921 TP3 T. This technology has been used to generate localized navigation prompts at a cost of 851 TP3 T less than traditional dialect recording solutions.
This answer comes from the articleCosyVoice: Ali open source multilingual cloning and generation toolsThe
May not be reproduced without permission:AI productivity tools " CosyVoice's Cross-Language Synthesis Supports Generation of Dialects like Sichuanese
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