Instructions to use jatshi/robust-speaker-cloning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- CosyVoice
How to use jatshi/robust-speaker-cloning with CosyVoice:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Robust Speaker Cloning artifacts
Large artifacts for the companion GitHub repository. V2 trains a 6-layer robust speaker Transformer and telephone BWE front end while keeping CosyVoice2-0.5B frozen. On 21 paired real CosyVoice generations, ECAPA x-vector similarity was 0.6187 for V2 versus 0.5998 baseline (+0.0189 average). This small evaluation also contains negative HVAC and reverb deltas, so it is not a universal-improvement claim.
CosyVoice, CampPlus, ECAPA and AISHELL retain their upstream licenses.
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