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## Notes ## Notes
* Members of the community have observed that for fine-tuning VibeVoice on a single voice, it is often beneficial to set `voice_prompt_drop_rate` to `1.0` and avoid use of voice cloning/reference audio all together during inference. This can lead to more natural speech generation. **If you are training on a single speaker I highly recommend you try this.** * Members of the community have observed that for fine-tuning VibeVoice on a SINGLE voice, it is often beneficial to set `voice_prompt_drop_rate` to `1.0` and avoid use of voice cloning/reference audio all together during inference. This can lead to more natural speech generation. **If you are training on a single speaker I highly recommend you try this. NOTE: This will REMOVE voice cloning capabilities. Your fine-tuned model will NOT support voice-cloning**
## Example Script ## Example Script