# Qwen3-TTS: The ElevenLabs Killer? Source: https://www.youtube.com/watch?v=hFOOB3-TF-Q Recap page: https://rapidrecap.app/video/hFOOB3-TF-Q Generated: 2026-01-23T14:04:07.495+00:00 --- ## Quick Overview The Qwen3-TTS system, featuring Voice Design, Voice Clone, and TTS generation capabilities, is now open-sourced and demonstrates superior or competitive performance against other open-weight models across various benchmarks, including high-fidelity, low-latency streaming, and multilingual support across 10 languages. **Key Points:** - Qwen3-TTS is released as an open-source system supporting three main capabilities: Voice Design, Voice Clone, and standard Text-to-Speech (TTS) generation. - The 1.7B models outperform previous open-weight models in voice cloning and voice design benchmarks, with the 0.6B model also showing strong performance. - The system supports 10 languages (Chinese, English, Japanese, Korean, German, French, Russian, Portuguese, Spanish, Italian) and features ultra-low latency streaming generation as low as 97ms. - Voice Design allows users to create entirely new voices using natural language descriptions without needing audio samples, as demonstrated by generating voices for a 'Wise Old Wizard', 'Energetic Anime Girl', and 'News Anchor'. - Voice Cloning requires only 3 seconds of reference audio to clone a voice with high accuracy, demonstrating consistency across generated dialogue lines. - The architecture utilizes a self-developed Qwen3-TTS-Tokenizer-12Hz and a lightweight non-DIT architecture. - The accompanying Colab notebook guides users through setup, custom voice generation using built-in voices, voice design, and voice cloning. ![Screenshot at 00:00: The introductory slide announces the 'Qwen3-TTS Open-source Release' and highlights its three core capabilities: Voice Design, Voice Clone, and TTS.](https://ss.rapidrecap.app/screens/hFOOB3-TF-Q/00-00-00.jpg) **Context:** The video introduces the open-source release of Alibaba's Tongyi Lab Qwen3-TTS, a state-of-the-art text-to-speech system designed to redefine possibilities in voice AI. The release includes models of 1.7B and 0.6B parameters, emphasizing advanced features like voice design (creating voices from text descriptions) and voice cloning (replicating voices from short audio samples). The presenter walks through demonstrating these features using a Google Colab notebook. ## Detailed Analysis The Qwen3-TTS system is now open-sourced, offering advanced text-to-speech capabilities through three main modules: Voice Design, Voice Clone, and general TTS generation. The release includes 1.7B and 0.6B model families, both demonstrating superior performance compared to existing open-weight models in benchmarks like voice cloning and voice design fidelity. The system supports 10 major languages and achieves ultra-low latency streaming generation, with synthesis as low as 97ms. The Voice Design feature enables the creation of entirely new character voices solely through natural language instructions, as demonstrated by generating English voices for characters like a 'Wise Old Wizard' and a 'News Anchor', and a Japanese voice for an 'Energetic Anime Girl'. The Voice Cloning feature can accurately clone a voice using just 3 seconds of reference audio, maintaining voice consistency across generated dialogue. The demonstration proceeds through a Colab notebook showing installation steps (requiring GPU acceleration, preferably T4 or better), loading the CustomVoice model, listing available speakers and languages, generating emotion-controlled speech using the CustomVoice model, generating custom character voices via Voice Design, and finally demonstrating voice cloning accuracy using the 0.6B base model. ### Key Features Overview - 10 Languages supported - Ultra-Low Latency (down to 97ms) - Voice Design via natural language descriptions - Voice Cloning with just 3 seconds of audio - Two Model Sizes (0.6B efficient, 1.7B peak performance) ### Custom Voice Generation (using CustomVoice Model) - Demonstrates generating speech with various emotions (neutral, happy, angry, sad) using the same text input and speaker ('Ryan'). ### Voice Design - Create Custom Voices from Descriptions - Loads the 1.7B VoiceDesign model and generates three unique character voices ('Wise Old Wizard', 'Energetic Anime Girl', 'News Anchor') based solely on descriptive text instructions. ### Voice Cloning - Clone Any Voice with Just 3 Seconds - Loads the 0.6B Base model, uses a reference audio sample, and generates new content with the cloned voice, demonstrating high consistency across generated dialogue lines. ### Performance Benchmarks (1.7B & 0.6B Models) - Tables show Qwen3-TTS achieving lower scores (better performance) than competitors like Open-A38, MiniMax, and others across Voice Clone and Voice Design metrics. ![Screenshot at 00:05: The demonstration transitions to a Google Colab notebook environment, showing the setup and installation steps for Qwen3-TTS.](https://ss.rapidrecap.app/screens/hFOOB3-TF-Q/00-00-05.jpg) ![Screenshot at 01:08: A comparison table detailing the features, language support \(10 languages\), streaming, and instruction control capabilities for the 1.7B model family.](https://ss.rapidrecap.app/screens/hFOOB3-TF-Q/00-01-08.jpg) ![Screenshot at 01:41: A schematic diagram illustrating the Qwen3-TTS architecture, showing the Qwen3 LM feeding into the MTP Module and finally to the Streaming Codec Decoder.](https://ss.rapidrecap.app/screens/hFOOB3-TF-Q/00-01-41.jpg) ![Screenshot at 02:22: The Python code snippet showing the parameters used to load the 0.6B CustomVoice model for testing.](https://ss.rapidrecap.app/screens/hFOOB3-TF-Q/00-02-22.jpg) ![Screenshot at 06:32: The output section showing generated audio clips demonstrating emotion control \(Neutral, Happy, Angry, Sad\) applied to the same text input using the CustomVoice model.](https://ss.rapidrecap.app/screens/hFOOB3-TF-Q/00-06-32.jpg)