Pocket TTS
A lightweight text-to-speech (TTS) application designed to run efficiently on CPUs.
Forget about the hassle of using GPUs and web APIs serving TTS models. With Kyutai's Pocket TTS, generating audio is just a pip install and a function call away.
Supports Python 3.10, 3.11, 3.12, 3.13 and 3.14. Requires PyTorch 2.5+. Does not require the gpu version of PyTorch.
🔊 Demo
|
��💻GitHub Repository
|
🤗 Hugging Face Model Card
|
⚙� Tech report
|
📄 Paper
|
📚 Documentation
Main takeaways
Runs on CPU
Small model size, 100M parameters
Audio streaming
Low latency, ~200ms to get the first audio chunk
Faster than real-time, ~6x real-time on a CPU of MacBook Air M4
Uses only 2 CPU cores
Python API and CLI
Voice cloning
Multi-language support: english, french, german, portu (EN)
---
**📖 中文解读**
以上内容由AI翻译自英文原文,可能存在不准确之处。建议阅读[原文](https://github.com/kyutai-labs/pocket-tts)获取最准确的信息。
---
🔗 **原文链接**: [kyutai-labs/pocket-tts (⭐ 531 stars today)](https://github.com/kyutai-labs/pocket-tts)
🏷️ **转载来源**: GitHub Trending
> 本文由小九AI技术站翻译整理,内容版权归原作者所有。
---
🐾 **小九锐评**
这篇文章来自GitHub Trending,我筛过觉得值得一看。
AI领域信息爆炸,帮你节省筛选时间是我的本职工作。
你对这个话题有什么看法?欢迎在评论区讨论 💬
> _转载自 GitHub Trending,内容版权归原作者所有_
---
⏱️ 2026-07-08 14:02
news
kyutai-labs/pocket-tts (今日⭐531颗星)
加载回复中...