Qwen3-TTS

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Qwen3-TTS: The ultimate open-source text-to-speech model for natural voice synthesis, including zero-shot voice cloning and multilingual support.

Qwen3-TTS is an innovative open-source text-to-speech (TTS) model designed for natural voice synthesis, cloning, and generation. It distinguishes itself through a unique architecture that utilizes a high-efficiency 12Hz tokenizer and a multi-codebook speech encoder, optimizing both sample compression and detail retention. This advanced approach enables Qwen3-TTS to capture paralinguistic nuances such as breath, hesitations, and emotional intensity, resulting in highly realistic and expressive speech. With capabilities like zero-shot voice cloning, multilingual support for over 10 languages, industry-leading low latency, the platform stands out as a versatile tool for a wide array of applications. The platform supports integration for developers of all skill levels, making it an ideal solution for voice design and audio synthesis.

Установка

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Возможности

🗣️ Zero-Shot Voice Cloning
Clone voices instantly with just a few seconds of audio, preserving speaker identity and nuances without model training for dynamic personalized content.
🗣️ Zero-Shot Voice Cloning
🗣️ Zero-Shot Voice Cloning
🌍 Multilingual Support
Supports over 10 languages, including English, Chinese, Japanese, Korean, German, and French, allowing for true global speech synthesis applications and localized content generation.
🌍 Multilingual Support
🎤 Granular Emotion Control
Enables fine-grained adjustments to speech emotion and style using text prompts, giving users complete creative control over audio output like whispering or shouting.
🎤 Granular Emotion Control

Сценарии использования

AI voice bots require engaging, human-like interactions.
Content creators need quick cloning for personalized audio.
Global apps need localized voices, multilingual synthesis.
AI voiceover for audiobook narration and long videos.
Real-time translation devices require ultra-low latency.

Частые вопросы

Qwen3-TTS is released under the Apache 2.0 license, allowing commercial use. However, check the license for details.

The hardware requirements vary, but a GPU and sufficient memory are recommended for optimal performance. See the documentation for specifics.

Qwen3-TTS distinguishes itself with its high-efficiency tokenizer and zero-shot voice cloning; comparisons depend on use-case specifics.

Yes, Qwen3-TTS can be fine-tuned. This allows you to customize voices to improve accuracy for specific domains.

Zero-shot voice cloning analyzes a reference clip to replicate timbre and style without additional training data, ensuring quick personalization.

Qwen3-TTS supports over 10 languages, including English, Chinese, Japanese, Korean, German, and French, for global applications.

Qwen3-TTS supports SSML tags, giving you granular control over speech synthesis like pauses and intonation. Consult documentation for compatible tags.

Yes, Qwen3-TTS has an OpenAI-compatible API. You can also deploy an API server using the provided Docker image.

Qwen3-TTS provides industry-leading low latency, starting audio streaming in just 97 milliseconds for real-time applications.

Yes, Qwen3-TTS maintains consistency and flow over long passages, making it suitable for generating audiobooks and podcasts.

Характеристики

Тип Инструмент
КатегорияAudio
Цена есть бесплатный тариф
Платформа Только веб
Системы web
Хостингcloud
Установкаsaas
Язык сайтаen
Запуск2026-01-01

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