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--- |
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license: mit |
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tags: |
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- audio |
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library_name: pytorch |
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--- |
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# Vocos |
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#### Note: This repo has no affiliation with the author of Vocos. |
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Pretrained Vocos model with a 48kHz sampling rate, as opposed to 24kHz of the official. |
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## Usage |
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Make sure the Vocos library is installed: |
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```bash |
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pip install vocos |
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``` |
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then, load the model as usual: |
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```python |
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from vocos import Vocos |
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vocos = Vocos.from_pretrained("kittn/vocos-mel-48khz-alpha1") |
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``` |
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For more detailed examples, see [github.com/charactr-platform/vocos#usage](https://github.com/charactr-platform/vocos#usage) |
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## Evals |
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TODO |
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## Training details |
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TODO |
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## What is Vocos? |
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Here's a summary from the official repo [[link](https://github.com/charactr-platform/vocos)]: |
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> Vocos is a fast neural vocoder designed to synthesize audio waveforms from acoustic features. Trained using a Generative Adversarial Network (GAN) objective, Vocos can generate waveforms in a single forward pass. Unlike other typical GAN-based vocoders, Vocos does not model audio samples in the time domain. Instead, it generates spectral coefficients, facilitating rapid audio reconstruction through inverse Fourier transform. |
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For more details and other variants, check out the repo link above. |
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## Model summary |
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```bash |
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================================================================= |
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Layer (type:depth-idx) Param # |
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================================================================= |
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Vocos -- |
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├─MelSpectrogramFeatures: 1-1 -- |
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│ └─MelSpectrogram: 2-1 -- |
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│ │ └─Spectrogram: 3-1 -- |
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│ │ └─MelScale: 3-2 -- |
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├─VocosBackbone: 1-2 -- |
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│ └─Conv1d: 2-2 918,528 |
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│ └─LayerNorm: 2-3 2,048 |
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│ └─ModuleList: 2-4 -- |
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│ │ └─ConvNeXtBlock: 3-3 4,208,640 |
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│ │ └─ConvNeXtBlock: 3-4 4,208,640 |
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│ │ └─ConvNeXtBlock: 3-5 4,208,640 |
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│ │ └─ConvNeXtBlock: 3-6 4,208,640 |
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│ │ └─ConvNeXtBlock: 3-7 4,208,640 |
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│ │ └─ConvNeXtBlock: 3-8 4,208,640 |
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│ │ └─ConvNeXtBlock: 3-9 4,208,640 |
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│ │ └─ConvNeXtBlock: 3-10 4,208,640 |
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│ └─LayerNorm: 2-5 2,048 |
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├─ISTFTHead: 1-3 -- |
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│ └─Linear: 2-6 2,101,250 |
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│ └─ISTFT: 2-7 -- |
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================================================================= |
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Total params: 36,692,994 |
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Trainable params: 36,692,994 |
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Non-trainable params: 0 |
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================================================================= |
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``` |
