HojoAI / Hojo-TTS-Light
git clone https://github.com/HojoAI/Hojo-TTS-Light.git
Hojo-TTS-Light is a lightweight speech generation model series developed by HojoAI, currently comprising a 0.04B and a 0.08B model.
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Star history (as recorded here)
LanguagePython
LicenseApache-2.0
Created2026-05-08 (5mo ago)
Last push3d ago
Watchers4
OwnerUser
GitHub topics
Links
- GitHub: github.com/HojoAI/Hojo-TTS-Light
- Homepage: https://hojoai.com
- Releases · Issues · Hacker News mentions
README excerpt
[ ] ## Hojo-TTS-Light **Hojo-TTS-Light** is an open-source lightweight Text-To-Speech model by HojoAI team. There are currently two types of model parameter sizes, **Hojo-TTS-Light-80M** and **Hojo-TTS-Light-40M**. Both follow the **token-LM** framework and both can generate good enough quality speech (average **DNSMOS>4.0** on Seed-TTS eval dataset). Currently, Hojo-TTS-Light supports both Chinese and English. **Hojo-TTS-Light-40M** supports 15 build-in voices,2 for Chinese and 13 for English. **Hojo-TTS-Light-80M** also supports voice cloning with a few seconds of audio. We provided optimized ONNX model packaging file, so that users can perform speech synthesis efficiently on CPU without requiring a GPU. ## Features - **Ultra-Lightweight Core Model** --- The core language model is only 80M and 40M parameters, with extremely small parameter size under the same sound quality and very low deployment threshold. - **Native Bilingual Integration** --- A single model supports smooth synthesis for both Chinese and English, no branch switching required. - **Low Computational Cost & On-Device Friendly** --- Low memory usage and low inference overhead, which can run smoothly on CPU, ordinary GPU, and embedded edge devices. - **Ready to Use** --- Provides simple inference scripts and fast calling interfaces, enabling synthesis and cloning with one line of code, facilitating secondary development and business integration. - **Supports quick correction** --- For the problem of easily mispronouncing Chinese and English polyphonic characters and proper nouns, users can directly use Pinyin to correct pronunciation errors and improve the reliability of speech synthesis. ## Model Details - The model follows the Token-LM model paradim. - The speech tokenizer is composed of a **18M** encoder and a **30M** decoder. - Currently the released version runs at **50Hz** token rate and the **12.5hz** version models will be released soon. ## Roadmap - [ ] support streaming mode synthesis - [ ] support emotion and style control - [ ] support multi-lingual and multi-dialect - [X] 202608 - [X] release Hojo-TTS-Light v2 Hojo-TTS-Light-80M ONNX model and inference engine, add fine local model. - [X] release Hojo-TTS-Light v2 Hojo-TTS-Light-40M ONNX model and inference engine, add fine local model. - [X] 202606 - [X] Hojo-TTS-Light has been updated to the optimized ONNX model file (KV cache merging) - [X] release Hojo-TTS-Light-40M ONNX model and inference engine - [X] 202605 - [X] release Hojo-TTS-Light v1 Hojo-TTS-Light-80M ONNX model and inference engine ## Commercial Support We offer commercial support for teams integrating Hojo TTS into their products. This includes integration assistance, custom voice development, and enterprise licensing. Contact us or email developer@hojoai.com to discuss your requirements. ## Star History ## Credits - X-Codec-2.0 - soprano - inworld-ai/tts ## Licence This project is open-sourced under the Apache 2.0 License, which can be freely used