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LatestQwen · Alibaba3
Qwen · AlibabaText → Speech

Qwen Releases a Compact Custom-Voice TTS Model

The new 600-million-parameter model from Alibaba's Qwen team can clone voices from short audio clips for multilingual speech synthesis.

Jan 21, 2026
NotableQwen
Qwen3-TTS-12Hz-0.6B CustomVoice

Alibaba's Qwen team has released a new open-source model for text-to-speech, Qwen3-TTS-12Hz-0.6B-CustomVoice. This compact model, with just 600 million parameters, introduces a powerful feature to the open-source audio landscape: custom voice cloning.

With this capability, developers can use a short audio sample to create a digital version of a specific voice. The model can then use this cloned voice to synthesize new speech from text in multiple languages, opening up possibilities for personalized applications, custom voice assistants, and dynamic content creation.

A More Accessible Approach

The model's relatively small size makes it more accessible for researchers and developers to run and fine-tune compared to larger, proprietary systems. The "12Hz" in its name likely points to its internal audio representation, suggesting a design that balances quality with computational efficiency, making it suitable for a wider range of hardware.

This release provides a significant new tool for the open-source AI community. While high-quality TTS models exist, those with built-in, easy-to-use voice cloning are less common. The model is available for download on Hugging Face under the Qwen license, which developers should review for commercial use terms.

Sources

  • Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice

    Hugging Face

    Visit
OlderQwen Releases Open 1.7B Custom Voice Synthesis ModelQwen · Alibaba · Text → Speech · 9 months agoNewerQwen Releases Open-Source Voice Cloning ModelQwen · Alibaba · Text → Speech · 9 months ago

Get the model

Hugging Face

Specs

Parameters600M
Languages10 languages
Size1.8 GB
PrecisionBF16
ArchitectureQwen3TTSForConditionalGeneration
LicenseQWEN
Downloads772.1K
Likes210

Can you run it?

Runs on just about anything.

  • BF16 (as published)

    Any modern laptop · 8 GB RAM

    2.8 GB
  • FP8

    Any modern laptop · 8 GB RAM

    1.9 GB
Your machine

Based on Hugging Face weights metadata. Assumes an 8K context and ~1 GB runtime overhead; actual needs vary. How we estimate


Modalities

Text → Speech

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