| ## Speech Detokenizer | |
| #### Our detokenizer is developed based on the [F5-TTS](https://github.com/SWivid/F5-TTS) framework and features two specific improvements. | |
| 1. The DiT module has been substituted by a DiT variant with cross-attention. It is similar to the detokenizer of [GLM-4-Voice](https://github.com/zai-org/GLM-4-Voice). | |
| <p align="center"><img src="../figs/CADiT.jpg" width="500"></p> | |
| 2. A chunk-based streaming inference algorithm is developed, it allows the model to generate speech of any length. | |
| <p align="center"><img src="../figs/F5-streaming.jpg" width="1200"></p> | |
| #### The detokenizer released this time was trained on approximately 6,000 hours of Chinese and English data. This dataset includes Wenet4TTS (both premium and standard), LibriTTS, and others. |