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LatestQwen · AlibabaQwen3-TTS
Qwen · AlibabaText → Speech

Qwen Unveils Open Model for Custom Voice Synthesis

The new 1.7-billion-parameter text-to-speech model from Alibaba's Qwen team can generate novel voices from short audio prompts.

Jan 21, 2026
NotableApache 2.0
Qwen3-TTS-12Hz-1.7B-VoiceDesign

Alibaba's Qwen team has expanded its open-source offerings with Qwen3-TTS, a new model dedicated to high-quality speech synthesis. Released under a permissive Apache 2.0 license, this 1.7-billion-parameter system marks a significant entry into the growing field of open text-to-speech (TTS) models.

The model's standout feature is its "Voice Design" capability. Unlike traditional TTS systems that rely on a fixed set of pre-recorded voices, Qwen3-TTS can generate speech in a novel voice by analyzing a short audio prompt. This allows developers to create unique voices or clone existing ones for custom applications, a feature previously common in proprietary, API-driven systems.

Multilingual and Prompt-Driven

Qwen3-TTS is designed to be multilingual and is controlled through a combination of text and audio inputs. A user provides the text to be spoken along with a reference audio clip, and the model generates speech that matches the voice characteristics of the reference. The "12Hz" in the model's name likely refers to the sampling rate of its internal audio representation, a technique used in modern neural audio codecs to efficiently model speech.

The release of a powerful, commercially-permissive voice design model like Qwen3-TTS is a notable development for the open-source AI community. It provides a foundational tool for a wide range of applications, including personalized digital assistants, dynamic video game character dialogue, and accessibility tools, without the restrictions of closed platforms.

Sources

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

    Hugging Face

    Visit
OlderZhipu AI Releases GLM-4.7-Flash MoE ModelZhipu AI · Text / LLM · 9 months agoNewerQwen Releases Open 1.7B Custom Voice Synthesis 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
Downloads523.7K
Likes463

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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