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README.md
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README.md
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<img src="https://user-images.githubusercontent.com/25312635/195514652-e4526cd1-1177-48e9-a80d-c8bfdb95d35f.png" />
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</p>
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mayavoz is a Pytorch-based opensource toolkit for speech enhancement. It is designed to save time for audio researchers. Is provides easy to use pretrained audio enhancement models and facilitates highly customisable model training.
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| **[Quick Start](#quick-start-fire)** | **[Installation](#installation)** | **[Tutorials](https://github.com/shahules786/enhancer/notebooks/)** | **[Available Recipes](#recipes)** | **[Demo]()**
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| **[Quick Start](#quick-start-fire)** | **[Installation](#installation)** | **[Tutorials](https://github.com/shahules786/enhancer/tree/main/notebooks)** | **[Available Recipes](#recipes)** | **[Demo]()**
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## Key features :key:
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* Various pretrained models nicely integrated with huggingface :hugs: that users can select and use without any hastle.
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``` python
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from mayavoz import Mayamodel
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model = Mayamodel.from_pretrained("mayavoz/waveunet")
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model = Mayamodel.from_pretrained("shahules786/mayavoz-waveunet-valentini-28spk")
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model("noisy_audio.wav")
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```
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## Recipes
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| Model | Dataset | STOI | PESQ | URL |
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| :---: | :---: | :---: | :---: | :---: |
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| WaveUnet | Vctk-28spk | 0.836 | 2.78 | shahules786/mayavoz-waveunet-valentini-28spk |
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| Demucs | DNS-2020 (30hrs) | 0.961 | 2.56 | shahules786/mayavoz-demucs-valentini-28spk |
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| DCCRN | DNS-2020 (30hrs) | | | mayavoz/dccrn-vctk28 |
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| Model | Dataset | STOI | PESQ | URL |
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| :---: | :---: | :---: | :---: | :---: |
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| WaveUnet | Vctk-28spk | 0.836 | 2.78 | shahules786/mayavoz-waveunet-valentini-28spk |
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| Demucs | Vctk-28spk | 0.961 | 2.56 | shahules786/mayavoz-demucs-valentini-28spk |
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| DCCRN | Vctk-28spk | 0.724 | 2.55 | shahules786/mayavoz-dccrn-valentini-28spk |
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## Installation
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