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AI 模型与开发框架图像、视频与音频开发者工具 agentchatchatgptchatttschinesechinese-language
39,998
Stars
4,244
Forks
203
Watchers
60
Open Issues
AGPL-3.0
许可证
Python
语言
2024-05-27
创建时间
2026-04-10
最近更新

项目能做什么

专注于日常对话场景的生成式文本转语音(TTS)模型。
来源:基于仓库元数据 · 内容以仓库实际 README 为准

使用说明 查看原始 README 原仓库文档

中文使用说明暂未生成。下面保留原仓库 README 摘录,命令与配置均以原文为准。
原始 README 摘录(英文原文,节选前 3000 字符)
<div align="center">

<a href="https://trendshift.io/repositories/10489" target="_blank"><img src="https://trendshift.io/api/badge/repositories/10489" alt="2noise%2FChatTTS | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>

# ChatTTS
A generative speech model for daily dialogue.

[![Licence](https://img.shields.io/github/license/2noise/ChatTTS?style=for-the-badge)](https://github.com/2noise/ChatTTS/blob/main/LICENSE)
[![PyPI](https://img.shields.io/pypi/v/ChatTTS.svg?style=for-the-badge&color=green)](https://pypi.org/project/ChatTTS)

[![Huggingface](https://img.shields.io/badge/🤗%20-Models-yellow.svg?style=for-the-badge)](https://huggingface.co/2Noise/ChatTTS)
[![Open In Colab](https://img.shields.io/badge/Colab-F9AB00?style=for-the-badge&logo=googlecolab&color=525252)](https://colab.research.google.com/github/2noise/ChatTTS/blob/main/examples/ipynb/colab.ipynb)
[![Discord](https://img.shields.io/badge/Discord-7289DA?style=for-the-badge&logo=discord&logoColor=white)](https://discord.gg/Ud5Jxgx5yD)

**English** | [**简体中文**](docs/cn/README.md) | [**日本語**](docs/jp/README.md) | [**Русский**](docs/ru/README.md) | [**Español**](docs/es/README.md) | [**Français**](docs/fr/README.md) | [**한국어**](docs/kr/README.md)

</div>

## Introduction
> [!Note]
> This repo contains the algorithm infrastructure and some simple examples.

> [!Tip]
> For the extended end-user products, please refer to the index repo [Awesome-ChatTTS](https://github.com/libukai/Awesome-ChatTTS/tree/en) maintained by the community.  
> You can find a diagram visualization of the codebase [here](https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/ChatTTS/on_boarding.md).

ChatTTS is a text-to-speech model designed specifically for dialogue scenarios such as LLM assistant.

### Supported Languages
- [x] English
- [x] Chinese
- [ ] Coming Soon...

### Highlights
> You can refer to **[this video on Bilibili](https://www.bilibili.com/video/BV1zn4y1o7iV)** for the detailed description.

1. **Conversational TTS**: ChatTTS is optimized for dialogue-based tasks, enabling natural and expressive speech synthesis. It supports multiple speakers, facilitating interactive conversations.
2. **Fine-grained Control**: The model could predict and control fine-grained prosodic features, including laughter, pauses, and interjections. 
3. **Better Prosody**: ChatTTS surpasses most of open-source TTS models in terms of prosody. We provide pretrained models to support further research and development.

### Dataset & Model
> [!Important]
> The released model is for academic purposes only.

- The main model is trained with Chinese and English audio data of 100,000+ hours.
- The open-source version on **[HuggingFace](https://huggingface.co/2Noise/ChatTTS)** is a 40,000 hours pre-trained model without SFT.

### Roadmap
- [x] Open-source the 40k-hours-base model and spk_stats file.
- [x] Streaming audio generation.
- [x] Open-source DVAE encoder and zero shot inferring code.
阅读完整原文

商业机会分析 规则生成(AI 未配置)

综合评分 58.9 分。该项目在“个人可实施性”维度得 20 分,“付费可能性”维度得 71.0 分,差异化空间 100.0 分(评分依据见评分卡)。

将 ChatTTS 改造为垂直场景 SaaS

产品构想保留核心能力,针对某一类用户(如某行业团队)做托管版,收取月费。
目标用户有该需求的中小团队 / 独立站长
难度/周期较高 · 2~4 周(MVP)
收费模式订阅制(如 ¥29~99/月)
竞争风险需验证付费意愿;注意许可证合规
依据 数据支持的判断:许可证与关键词显示存在商用与付费场景

面向细分需求的二次开发产品

产品构想基于 ChatTTS 的核心能力,聚焦一个更窄的场景(如某平台、某行业)做差异化。
目标用户该细分场景用户
难度/周期中 · 2~6 周
收费模式买断制 / 订阅制 / 广告
竞争风险细分需求规模需验证
依据 AI 推测:基于项目主题标签的判断
以上为规则引擎基于仓库公开数据生成的参考结论,包含推测成分,不构成投资或创业承诺;配置 AI 后可获得更深入的分析。
报告会保存到 个人中心

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项目优势与风险

技术成熟度创建于 2024-05-27,最近推送 2026-04-10,发布过 7 个 Release
社区活跃Star 39,998 / Fork 4,244 / Issue 60(数据支持,可自行核实)
许可证AGPL-3.0 商用需注意传染性条款
主要风险上游项目方向可能变化;同赛道竞争者较多(见竞品表);热度与需求不完全等价

安装与使用

快速开始(以仓库 README 为准)
git clone https://github.com/2noise/ChatTTS.git
cd ChatTTS
# 请阅读仓库 README 获取确切安装步骤(依赖、配置、启动命令)
阅读原仓库文档
术语说明:Docker=应用容器(把程序和依赖打包运行);API Key=调用外部服务的密钥;Git Clone=把仓库代码下载到本地。常见错误:API Key 未配置 / 端口占用 / 数据库连接失败,多数项目在 README 的 Troubleshooting 章节有说明。