Chattts

What is Chattts?

ChatTTS is a cutting-edge Text-to-Speech tool that excels in generating natural voices for conversational scenarios. With its support for multiple languages, extensive data training, and dialog task compatibility, ChatTTS stands out as a versatile and high-quality solution for speech synthesis.

Users of ChatTTS benefit from its easy-to-use interface and the ability to quickly convert text into speech files. The tool's commitment to control, security, and academic collaboration sets ChatTTS apart in the realm of text-to-speech technology, making it a valuable resource for developers and researchers alike.

For those seeking a reliable and customizable text-to-speech solution, ChatTTS offers a unique blend of features designed to meet various application needs. Its upcoming open-source plans and emphasis on naturalness in speech synthesis ensure that ChatTTS remains at the forefront of innovation in the text-to-speech domain.

Chattts Features

Feature 1: Multi-language Support

ChatTTS offers multi-language support, allowing users to generate text-to-speech in both Chinese and English.

• Users can input text in either Chinese or English to generate natural-sounding speech.
• The model has been trained on approximately 10 million hours of data in both languages to ensure accurate speech synthesis.

Feature 2: Large Data Training

ChatTTS leverages extensive data training, with approximately 10 million hours of Chinese and English data.

• The model has been trained on a vast dataset to capture diverse speech patterns and nuances.
• This training results in high-quality and natural-sounding voice synthesis for various conversational applications.

Feature 3: Dialog Task Compatibility

ChatTTS is optimized for handling dialog tasks typically assigned to large language models (LLMs).

• The model can generate responses for conversations, providing a natural and fluid interaction experience.
• It is designed to seamlessly integrate into various applications and services to enhance dialogue scenarios.

Feature 4: Open Source Plans

The ChatTTS project team plans to release an open-source version of the trained base model.

• By open-sourcing the base model, academic researchers and developers can access and further develop the technology.
• This initiative aims to promote innovation and collaboration within the text-to-speech community.

How to Use Chattts?

• Navigate to the ChatTTS GitHub repository.
• Click on the 'Code' button.
• Copy the repository URL: https://github.com/2noise/ChatTTS.
• Open your terminal.
• Clone the repository by typing: git clone https://github.com/2noise/ChatTTS

• Make sure you have Python installed on your machine.
• Open your terminal if it's not already open.
• Install necessary packages using pip by typing: pip install torch ChatTTS

• Open your preferred code editor or IDE.
• Create a new Python script file.
• Import the required libraries by adding the following lines to your script:
• import torch
• import ChatTTS
• from IPython.display import Audio

• In your script, create an instance of the ChatTTS class by adding: chat = ChatTTS.Chat()
• Load the pre-trained models by adding: chat.load_models()

• Define the text you want to convert to speech.
• In your script, add the following line, replacing '<YOUR TEXT HERE>' with your desired text: texts = ["<YOUR TEXT HERE>",]

• Use the infer method to generate speech from the text by adding the following line to your script: wavs = chat.infer(texts, use_decoder=True)

• Use the Audio class from IPython.display to play the generated audio.
• Add the following line to your script to play the audio: Audio(wavs[0], rate=24_000, autoplay=True)

• Here is the complete script for your reference:
• ```python
• import torch
• import ChatTTS
• from IPython.display import Audio
• # Initialize ChatTTS
• chat = ChatTTS.Chat()
• chat.load_models()
• # Define the text to be converted to speech
• texts = ["Hello, welcome to ChatTTS!",]
• # Generate speech
• wavs = chat.infer(texts, use_decoder=True)
• # Play the generated audio
• Audio(wavs[0], rate=24_000, autoplay=True)
• ```

Chattts Frequently Asked Questions