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: Jan 18, 2026 • Sentiment updated: Mar 17, 2026
Community Buzz: ChatTTS is a Chinese-language text-to-speech model that utilizes a large language model (LLM) agent to generate human-like speech. The project is built using Python and Torchaudio, making it a promising solution for natural language inference and speech synthesis.
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.
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
A generative speech model for daily dialogue.
Official site: https://2noise.com
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
ChatTTS is a competitive text-to-speech model in the Chinese-language market, offering a unique solution for developers and researchers.