| language: | |
| - zh | |
| - en | |
| tags: | |
| - speech-synthesis | |
| - speech-to-speech | |
| - voice-conversion | |
| - pytorch | |
| - audio | |
| - chinese-tts | |
| - multi-speaker | |
| - convolution | |
| - encoder-decoder | |
| license: apache-2.0 | |
| datasets: | |
| - vctk | |
| library_name: pytorch | |
| # Convbased | |
| Github: [https://github.com/Convbased/Convbased-Studio](https://github.com/Convbased/Convbased-Studio) | |
| This project focuses on training high-quality pre-trained models. | |
| | Feature Extraction | Vocoder | Sample Rate 40k | Sample Rate 48k | | |
| |-----------|--------|-----|-----| | |
| | contentvec | hifigannsf | β | β | | |
| | contentvec | sifigan | β | β | | |
| | contentvec | bigvgan | β | β | | |
| | spin | hifigannsf | β | β | | |
| | spin | sifigan | β | β | | |
| | spin-v2 | bigvgan | β | β | | |
| | chinese-hubert-base | hifigannsf | β | β | | |
| *Training code from [Applio](https://github.com/IAHispano/Applio).* | |
| *Dedicated to advancing Chinese speech synthesis technology. These base models have been used for fine-tuning most models at [Convbased Studio](https://weights.chat/).* |