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README.md
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VoiceRestore is a cutting-edge speech restoration model designed to significantly enhance the quality of degraded voice recordings. Leveraging flow-matching transformers, this model excels at addressing a wide range of audio imperfections commonly found in speech, including background noise, reverberation, distortion, and signal loss.
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Credits: This repository is based on the [E2-TTS implementation by Lucidrains](https://github.com/lucidrains/e2-tts-pytorch)
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## Usage
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``` bash
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## Example
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### Degraded Input:
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Degraded audio (reverberation, distortion, noise, random cut):
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---
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### Restored (steps=32, cfg=1.0):
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Restored audio - 16 steps, strength 0.5:
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https://github.com/user-attachments/assets/fdbbb988-9bd2-4750-bddd-32bd5153d254
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---
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### Ground Truth:
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## Key Features
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---
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## Model Details
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- **Architecture**: Flow-matching transformer
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## Acknowledgments
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- Based on the [E2-TTS implementation by Lucidrains](https://github.com/lucidrains/e2-tts-pytorch)
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- Special thanks to the open-source community for their invaluable contributions.
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VoiceRestore is a cutting-edge speech restoration model designed to significantly enhance the quality of degraded voice recordings. Leveraging flow-matching transformers, this model excels at addressing a wide range of audio imperfections commonly found in speech, including background noise, reverberation, distortion, and signal loss.
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It is based on this [repo](https://github.com/skirdey/voicerestore) & demo of audio restorations: [VoiceRestore](https://sparkling-rabanadas-3082be.netlify.app/)
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## Usage
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``` bash
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## Example
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### Degraded Input:
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### Degraded Input Audio
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<audio controls>
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<source src="https://huggingface.co/jadechoghari/VoiceRestore/resolve/main/test_input.wav" type="audio/mpeg">
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Your browser does not support the audio element.
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</audio>
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---
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### Restored (steps=32, cfg=1.0):
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<audio controls>
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<source src="https://huggingface.co/jadechoghari/VoiceRestore/resolve/main/test_output.wav" type="audio/mpeg">
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Your browser does not support the audio element.
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</audio>
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Restored audio - 16 steps, strength 0.5:
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---
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## Key Features
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---
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## Model Details
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- **Architecture**: Flow-matching transformer
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## Acknowledgments
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- Based on the [E2-TTS implementation by Lucidrains](https://github.com/lucidrains/e2-tts-pytorch)
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- Special thanks to the open-source community for their invaluable contributions.
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- Credits: This repository is based on the [E2-TTS implementation by Lucidrains](https://github.com/lucidrains/e2-tts-pytorch)
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