ChatTTS — AI Agent Framework: Live Stats & TrendScore

Live GitHub stats, community sentiment, and trend data for ChatTTS. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: Apr 10, 2026 • Sentiment updated: Apr 19, 2026

GitHub Statistics

Community Sentiment

Community Buzz: As seen on Reddit, a user mentioned 'I transferred my AI over to Gemini. Some fine-tuning is still in order, but she overall does feel like herself...' and on X/Twitter, 'ChatTTS 实在太好用了，碾压看过的各种TTS，用GPT 协助帮忙生成了个 ...', indicating a mix of positive and neutral discussions around ChatTTS and similar technologies.

Pros & Cons

What People Love

Fast output, Natural voice generation, Reddit users praise ChatTTS

Common Complaints

Noise pollution, Weak engineering

Biggest Positive: Fast output

Biggest Negative: Noise pollution

Why ChatTTS Stands Out

ChatTTS stands out from alternative text-to-speech models with its ability to predict and control fine-grained prosodic features, including laughter, pauses, and interjections. Its conversational TTS capabilities make it ideal for dialogue-based tasks. The project's use of a large language model agent and pre-trained models also makes it a valuable resource for academic research and development. Additionally, ChatTTS's support for multiple languages, including English and Chinese, makes it a unique solution for multilingual applications.

Built With

Build a conversational AI assistant — ChatTTS enables this with its fine-grained control over prosodic features, Build a text-to-speech system for dialogue scenarios — ChatTTS supports multiple speakers and interactive conversations, Build a speech synthesis model for academic research — ChatTTS provides pre-trained models for further research and development, Build a natural language inference system — ChatTTS utilizes a large language model agent to generate human-like speech, Build a real-time speech generation system — ChatTTS supports streaming audio generation

Getting Started

  1. Install ChatTTS using pip install --upgrade -r requirements.txt
  2. Clone the repository using git clone https://github.com/2noise/ChatTTS
  3. Install the required dependencies using conda create -n chattts python=3.11 and conda activate chattts
  4. Configure the model using the provided configuration files
  5. Try generating speech using the pre-trained model to verify it works

About

A generative speech model for daily dialogue.

Official site: https://2noise.com

Category & Tags

Category: development

Tags: agent, chat, chatgpt, chattts, chinese, chinese-language, english, english-language, gpt, llm, llm-agent, natural-language-inference, python, text-to-speech, torch, torchaudio, tts

Market Context

Competitive market with various TTS solutions