ChatTTS

GitHub describes it as A generative speech model for daily dialogue.. The repository metadata lists Python as its primary language. The metadata lists the AGPL-3.0 license. This article stays within the project description and details documented in the GitHub repository README.

GitHub describes it as A generative speech model for daily dialogue.. The repository metadata lists Python as its primary language. The metadata lists the AGPL-3.0 license. The README describes the project this way: [!Tip] For the extended end-user products, please refer to the index repo Awesome-ChatTTS maintained by the community. You can find a diagram visualization of the codebase here.

The README section "Introduction" states: ChatTTS is a text-to-speech model designed specifically for dialogue scenarios such as LLM assistant.

The README section "Highlights" states: 1. Conversational TTS : ChatTTS is optimized for dialogue-based tasks, enabling natural and expressive speech synthesis. It supports multiple speakers, facilitating interactive conversations. 2. Fine-grained Control : The model could predict and control fine-grained prosodic features, including laughter, pauses, and interjections. 3. Better Prosody : ChatTTS surpasses most of open-source TTS models in terms of prosody. We provide pretrained models to support further research and development.

The README section "Dataset & Model" states: - The main model is trained with Chinese and English audio data of 100,000+ hours. - The open-source version on HuggingFace is a 40,000 hours pre-trained model without SFT.

The repository README is the source for this review. It does not replace a local installation or an independent test.

• Source 1 · Project repository
• Source 2 · README