Qwen-Audio-3.0-TTS: Freely Controllable and Highly Robust Speech Synthesis with Multi-Stage Training Paradigm
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Abstract (arXiv)
In this report, we present Qwen-Audio-3.0-TTS, a production-oriented speech synthesis system that jointly advances content consistency, speaker similarity, prosodic naturalness, audio quality, controllability, multilingual coverage, efficiency, and robustness. It combines a 12.5~Hz low-frame-rate speech tokenizer for reduced inference latency with a five-stage progressive training paradigm for coordinated language model (LM) and flow-matching model (FM) optimization. The model provides production-level control through free-style natural-language instructions and fine-grained inline tags, while supporting 16 languages, 20 Chinese dialect regions, one-pass long-form synthesis up to 3 minutes, and robust generation from noisy, reverberant, or unclear reference speech. Across SEED-TTS-Eval, CV3-Eval, instruction-following, long-form, and acoustic-robustness evaluations, Qwen-Audio-3.0-TTS achieves state-of-the-art performance on many reported dimensions or the strongest aggregate results. It also ranks first on the independent Artificial Analysis Text-to-Speech Leaderboard. These results establish Qwen-Audio-3.0-TTS as a strong foundation for production-level speech synthesis.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 Jul 2026.
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Citing papers per year: 2026: 4.
4 papers.
- 2026Confucius4-TTS: Transcript-Free Cross-Lingual Zero-Shot TTS with a Learnable Speaker Encodercited by 0
- 2026NADI 2026: The Second Multidialectal Arabic Speech Processing Shared Taskcited by 0
- 2026WST-Graph: Topology-Preserving Wavelet Scattering Front-End for Speech Deepfake Detectioncited by 0
- 2026SCIC: Scope- and Codebook-Aware Instruction Conditioning for Speaker-Adapted Expressive TTScited by 0
- 2026SCIC: Scope- and Codebook-Aware Instruction Conditioning for Speaker-Adapted Expressive TTS30 Sep 2026
- 2026WST-Graph: Topology-Preserving Wavelet Scattering Front-End for Speech Deepfake Detection24 Sep 2026
- 2026NADI 2026: The Second Multidialectal Arabic Speech Processing Shared Task22 Sep 2026
- 2026Confucius4-TTS: Transcript-Free Cross-Lingual Zero-Shot TTS with a Learnable Speaker Encoder12 Aug 2026
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- 2026CuteTTS: Efficient and High-Quality Speech Synthesis via Autoregressive Modeling of Continuous Latents
- 2026FineCombo-TTS: Collaborative and Precise Controllable Speech Synthesis Using Text Descriptions and Reference Speech ↗
- 2026Qwen-Audio-3.0-ASR Technical Report
- 2025Llasa: Scaling Train-Time and Inference-Time Compute for Llama-based Speech Synthesis
- 2025CLEAR: Continuous Latent Autoregressive Modeling for High-quality and Low-latency Speech Synthesis
- 2023High-Fidelity Speech Synthesis with Minimal Supervision: All Using Diffusion Models
- 2026The Evolving Bottleneck in Speech Generation: Interface Co-design and Staged Alignment from CosyVoice to Qwen-Audio-3.0-TTS ↗
- 2025ECTSpeech: Enhancing Efficient Speech Synthesis via Easy Consistency Tuning