ChatTTS is an advanced text-to-speech (TTS) system designed specifically for generating speech in daily dialogue scenarios. This report delves into the functionalities, applications, and unique features of ChatTTS, examining why it is particularly suited for daily dialogue. The analysis is based on various sources, including technical documentation, project descriptions, and expert reviews.

ChatTTS: a text-to-speech model designed specifically for dialogue scenario

ChatTTS

chatTTS is a text to speech model designed for dialogue applications.

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ChatTTS can be used for various applications, including but not limited to Conversational tasks for large language model assistants Generating dialogue speech Video introductions Educational and training content speech synthesis Any application or service requiring text-to-speech functionality

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Stylizated and Realistic styled Examples

ChatTTS is optimized for dialogue-based tasks, enabling natural and expressive speech synthesis. It supports multiple speakers, facilitating interactive conversations.

Conversational TTS

The model could predict and control fine-grained prosodic features, including laughter, pauses, and interjections.

Fine-grained Control

ChatTTS surpasses most of open-source TTS models in terms of prosody. We provide pretrained models to support further research and development.

Better Prosody

One of ChatTTS’s standout features is its robust support for multiple languages, encompassing both English and Chinese. This expansive language repertoire enables ChatTTS to cater to a diverse user base, effectively bridging linguistic barriers.

Multi-language Support

The model excels in predicting and controlling nuanced prosodic elements, such as laughter, pauses, and interjections, with precision and finesse.

Large Data Training

ChatTTS outperforms the majority of open-source TTS models when it comes to prosody. We offer pretrained models to facilitate ongoing research and development in this field.

Dialog Task Compatibility

ChatTTS Pioneering Features

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