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We release Qwen3-TTS, a series of powerful speech generation models developed by Qwen, offering comprehensive support for voice cloning, voice design, ultra-high-quality human-like speech generation, and natural language-based voice control.
Qwen3-TTS covers 10 major languages (Chinese, English, Japanese, Korean, German, French, Russian, Portuguese, Spanish, and Italian) as well as multiple dialectal voice profiles. Key features:
Install the qwen-tts Python package from PyPI:
Zero-shot speech generation on the Seed-TTS test set (Word Error Rate (WER, ↓)):
If you find our paper and code useful in your research, please consider giving a star ⭐ and citation 📝:
pip install -U qwen-ttsimport torchimport soundfile as sffrom qwen_tts import Qwen3TTSModel
# Load the modelmodel = Qwen3TTSModel.from_pretrained( "Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice", device_map="cuda:0", dtype=torch.bfloat16, attn_implementation="flash_attention_2",)
# Custom Voice Generationwavs, sr = model.generate_custom_voice( text="其实我真的有发现，我是一个特别善于观察别人情绪的人。", language="Chinese", speaker="Vivian", instruct="用特别愤怒的语气说",)sf.write("output.wav", wavs[0], sr)@article{Qwen3-TTS, title={Qwen3-TTS Technical Report}, author={Hangrui Hu and Xinfa Zhu and Ting He and Dake Guo and Bin Zhang and Xiong Wang and Zhifang Guo and Ziyue Jiang and Hongkun Hao and Zishan Guo and Xinyu Zhang and Pei Zhang and Baosong Yang and Jin Xu and Jingren Zhou and Junyang Lin}, journal={arXiv preprint arXiv:2601.15621}, year={2026}}