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ChatTTS is an open source designed for conversational scenariostext-to-speech(TTS) model, optimized for conversational scenarios, making it more suitable for human-computer interaction. By optimizing the model architecture and training data, it is able to generate high-quality, natural and smooth conversational speech, providing users with a realistic interaction experience.ChatTTS is open source, which means that anyone can access and use it for free, lowering the technical threshold for speech synthesis.
Key Features
- Conversational TTS: Designed for conversational scenarios, ChatTTS is especially suited for conversational tasks in large-scale language model (LLM) assistants, enabling natural and smooth speech synthesis.
- Multi-language support: With support for both Chinese and English, ChatTTS is able to cross language barriers and serve users worldwide.
- Fine-grained control capability: ChatTTS is not only capable of generating basic speech, but also has the fine-grained control capability of predicting and controlling fine rhythmic features such as laughter, pauses and intonation to make the generated speech more vivid and expressive.
- Open Source and Ease of Use: ChatTTS is open source and provides easy-to-use interfaces and tools for secondary development and integration into other applications.
Usage Scenarios
- smart speaker: Provide users with a more natural and smooth voice interaction experience to enhance user experience.
- online education: To help students better understand and master the knowledge points and improve their learning efficiency.
- recording of a person reading the text of a book: Generate colorful voice content to meet the diverse needs of users.
- client service: Provide an automated voice response system to improve customer service efficiency.
- entertainment application: Provide realistic character voices for games, animations and more to enhance the entertainment experience.
Operating Instructions
Below are the general steps for ChatTTS (exact steps may vary by version and platform):
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environmental preparation::
- Ensure that the Python 3.9+ environment is installed on your computer and that the necessary libraries such as Git, libsndfile and ffmpeg are installed.
- Clone the ChatTTS source repository using Git.
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Project Settings::
- Create a virtual environment using Python's venv module and activate it.
- Install dependent libraries required by ChatTTS, such as torch and torchaudio.
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Initiation of projects::
- Run the startup command in the project directory, e.g.
python app.py(Specific commands may vary depending on the structure of the project). - Upon startup, the browser will automatically open and display the ChatTTS web interface.
- Run the startup command in the project directory, e.g.
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text-to-speech::
- Enter the text you want to convert to speech in the Web interface.
- Adjust parameters such as speech rate, volume, and timbre as needed.
- Click on "Generate Speech" or a similar button and ChatTTS will start converting text to speech.
- After the conversion is complete, you can play the generated voice directly or download it to save it locally.
In addition, ChatTTS also supports calling via API interface, which is convenient for developers to integrate it into other applications. Developers can choose the appropriate calling method and parameter settings according to their needs.
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