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CosyVoice for multilingual speech generation
Try supported multilingual voice synthesis and reference-conditioned modes.
Key Takeaways
- CosyVoice provides speech generation checkpoints and example interfaces.
- Select a model variant and supported synthesis mode.
- Choose one documented mode and run two inputs that differ only in punctuation or language.
- Checkpoint features and dependencies vary.
How it works
CosyVoice provides speech generation checkpoints and example interfaces. Different modes use text, speaker information or reference audio as conditioning.
What you need
Select a model variant and supported synthesis mode. A prompted voice and a predefined voice can use different input requirements, so follow the example for the chosen path.
What to try first
Choose one documented mode and run two inputs that differ only in punctuation or language. Check timing, pronunciation and consistency across requests.
Synthesize the same sentence several times and check consistency at the start and end. Short clips can expose truncation that is harder to notice in a longer passage.
Where to look for failures
Checkpoint features and dependencies vary. Keep source audio permissions and output verification in the workflow when using custom references.
Related Franklin pages
Use authorized voice references and compare both intelligibility and similarity. Check the exact checkpoint terms before moving from a local test to published audio.
- Generate speech and experiment with reference audio and documented expression controls. Chatterbox for controllable text-to-speech
- Explore voice cloning with a reference speaker and supported synthesis components. OpenVoice for experiments in voice tone conversion
For an application where the quality of recording and handling audio matters, see Franklin’s Open Mic AI profile. Open Mic AI
Project documentation
Try it for your workflow
Explore the project’s documentation for setup and usage, or save this page to a collection for later.
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