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LatestQwen · AlibabaQwen3-TTS
Qwen · AlibabaText → Speech

Qwen Releases Open 1.7B Custom Voice Synthesis Model

Alibaba's Qwen team has released a new text-to-speech model capable of cloning voices from just a few seconds of audio.

Jan 21, 2026
NotableApache 2.0
Qwen3-TTS 1.7B CustomVoice

The Qwen team at Alibaba has released Qwen3-TTS, a new open-source text-to-speech (TTS) model. At 1.7 billion parameters, this model is designed to generate high-quality speech from text and is available under the permissive Apache 2.0 license, allowing for commercial use.

The standout feature of the new model is its ability to perform custom voice cloning. According to the release documentation, developers can use a short audio clip, typically between 3 and 10 seconds long, as a reference to synthesize speech in that specific voice. This capability opens up a wide range of applications for personalized and dynamic audio content.

Technical Details

The model, named Qwen3-TTS-12Hz-1.7B-CustomVoice, operates on a two-stage process. First, a text-to-acoustic model generates an initial audio representation from the input text and a voice embedding derived from the reference audio. Then, a vocoder converts this representation into the final audio waveform. The "12Hz" in its name refers to its tokenization rate, a technical detail related to how it processes audio information.

This release adds a powerful new tool to the growing ecosystem of open-source generative audio. By providing a capable, permissively licensed voice cloning model, the Qwen team is enabling developers to build more sophisticated and personalized voice applications, from custom assistants to accessibility tools. The model and usage instructions are available on the Hugging Face Hub.

Sources

  • Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice

    Hugging Face

    Visit
OlderQwen Unveils Open Model for Custom Voice SynthesisQwen · Alibaba · Text → Speech · 9 months agoNewerQwen Releases a Compact Custom-Voice TTS ModelQwen · Alibaba · Text → Speech · 9 months ago

Get the model

Hugging Face

Specs

Parameters1.7B
Languages10 languages
Size3.8 GB
PrecisionBF16
ArchitectureQwen3TTSForConditionalGeneration
LicenseAPACHE-2.0
Downloads1.7M
Likes2.2K

Can you run it?

Runs on just about anything.

  • BF16 (as published)

    8 GB GPU (RTX 4060) · 16 GB laptop or Mac

    4.8 GB
  • FP8

    Any modern laptop · 8 GB RAM

    2.9 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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