Vocos EnCodec 24kHz
| Property | Value |
|---|---|
| License | MIT |
| Author | charactr |
| Framework | PyTorch |
| Paper | arXiv:2306.00814 |
What is vocos-encodec-24khz?
Vocos is an innovative neural vocoder designed for high-quality audio synthesis that bridges the gap between time-domain and Fourier-based approaches. Unlike traditional GAN-based vocoders, it operates by generating spectral coefficients rather than direct time-domain samples, enabling faster audio reconstruction through inverse Fourier transform.
Implementation Details
The model employs a GAN-based architecture that processes audio at 24kHz sampling rate. It's specifically designed to work with EnCodec tokens and can handle multiple bandwidth configurations (1.5, 3.0, 6.0, and 12.0 kbps). The implementation allows for both inference-only usage and training capabilities.
- Single forward pass generation of waveforms
- Spectral coefficient generation approach
- Support for multiple bandwidth configurations
- Efficient audio reconstruction via inverse Fourier transform
Core Capabilities
- Convert EnCodec tokens to audio features
- Reconstruct high-quality audio waveforms
- Process mono audio at 24kHz sampling rate
- Support for various bandwidth configurations
- Real-time audio synthesis capabilities
Frequently Asked Questions
Q: What makes this model unique?
This model's unique approach lies in its Fourier-based processing instead of time-domain modeling, offering faster audio reconstruction while maintaining high quality. It's specifically designed to work with EnCodec tokens and supports multiple bandwidth configurations.
Q: What are the recommended use cases?
The model is ideal for applications requiring high-quality audio synthesis from acoustic features, particularly when working with EnCodec-compressed audio. It's suitable for voice conversion, speech synthesis, and audio reconstruction tasks at 24kHz sampling rate.
