kyutai-labs/pocket-tts
原文摘要
A TTS that fits in your CPU (and pocket) 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, portuguese, italian, spanish Can handle infinitely long text inputs Can run on client-side in the browser Additional languages may be added in the future. Trying it from the website, without installing anything Navigate to the Kyutai website to try it out directly in your browser. You can input text, select different voices, and generate speech without any installation. Trying it…
📋 本文为 GitHub Trending Daily RSS 的 RSS 摘要原文,未经 AI 整理。完整上下文请以 原文 为准。