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README.md
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<!-- might put a [width=2000 * height=xxx] img here, this size best fits git page
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<img src="resources\cover.png"> -->
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<img src="resources\dreamvoice.png">
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# DreamVoice: Text-guided Voice Conversion and Generation
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--------------------
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Introduction
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--------------------
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## Demo
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🎵 Listen to [examples](https://mydemo.page)
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## Model Usage
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To load the models, you need to install packages:
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```
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pip install -r requirements.txt
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```
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Then you can use the model with the following code:
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- Plugin mode (DreamVG + ReDiffVC)
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```python
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from dreamvoice import DreamVoice
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# Initialize DreamVoice in plugin mode with CUDA device
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dreamvoice = DreamVoice(mode='plugin', device='cuda')
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# Description of the target voice
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prompt = 'young female voice, sounds young and cute'
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# Provide the path to the content audio and generate the converted audio
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gen_audio, sr = dreamvoice.genvc('examples/test1.wav', prompt)
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# Save the converted audio
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dreamvoice.save_audio('gen1.wav', gen_audio, sr)
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# Save the speaker embedding if you like the generated voice
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dreamvoice.save_spk_embed('voice_stash1.pt')
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# Load the saved speaker embedding
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dreamvoice.load_spk_embed('voice_stash1.pt')
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# Use the saved speaker embedding for another audio sample
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gen_audio2, sr = dreamvoice.simplevc('examples/test2.wav', use_spk_cache=True)
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dreamvoice.save_audio('gen2.wav', gen_audio2, sr)
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```
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- End-to-end mode (DreamVC)
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```python
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from dreamvoice import DreamVoice
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# Initialize DreamVoice in end-to-end mode with CUDA device
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dreamvoice = DreamVoice(mode='end2end', device='cuda')
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# Provide the path to the content audio and generate the converted audio
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gen_end2end, sr = dreamvoice.genvc('examples/test1.wav', prompt)
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# Save the converted audio
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dreamvoice.save_audio('gen_end2end.wav', gen_end2end, sr)
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# Note: End-to-end mode does not support saving speaker embeddings
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# To use a voice generated in end-to-end mode, switch back to plugin mode
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# and extract the speaker embedding from the generated audio
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# Switch back to plugin mode
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dreamvoice = DreamVoice(mode='plugin', device='cuda')
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# Load the speaker audio from the previously generated file
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gen_end2end2, sr = dreamvoice.simplevc('examples/test2.wav', speaker_audio='gen_end2end.wav')
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# Save the new converted audio
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dreamvoice.save_audio('gen_end2end2.wav', gen_end2end2, sr)
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```
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- One-shot Voice Conversion (ReDiffVC)
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```python
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from dreamvoice import DreamVoice
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# Plugin mode can be used for traditional one-shot voice conversion
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dreamvoice = DreamVoice(mode='plugin', device='cuda')
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# Generate audio using traditional one-shot voice conversion
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gen_tradition, sr = dreamvoice.simplevc('examples/test1.wav', speaker_audio='examples/speaker.wav')
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# Save the converted audio
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dreamvoice.save_audio('gen_tradition.wav', gen_tradition, sr)
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```
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## Reference
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If you find the code useful for your research, please consider citing:
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```bibtex
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@article{hai2024dreamvoice,
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title={DreamVoice: Text-Guided Voice Conversion},
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author={Hai, Jiarui and Thakkar, Karan and Wang, Helin and Qin, Zengyi and Elhilali, Mounya},
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journal={arXiv preprint arXiv:2406.16314},
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year={2024}
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}
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```
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