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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)

2026-10-20 · 534 ★ 2026-10-23 · 559 ★
LanguagePython
LicenseApache-2.0
Created2026-05-08 (5mo ago)
Last push3d ago
Watchers4
OwnerUser

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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