Qwen Team: ARIA adaptive streaming text-speech alignment

What changed

Dynamically aligned text and speech units before interleaving in the Talker, reducing tokenization-rate mismatch in streaming multimodal speech generation.

Scientific scope

Dynamically aligned text and speech units before interleaving in the Talker, reducing tokenization-rate mismatch in streaming multimodal speech generation. Thinker-Talker, codec tokenization and hybrid attention are inherited from earlier Qwen work; the acquired delta is adaptive streaming alignment/integration. Source sections give differing language counts, so no aggregate language total is exported. Voice consent/misuse limitations remain.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Thinker-Talker, codec tokenization and hybrid attention are inherited from earlier Qwen work; the acquired delta is adaptive streaming alignment/integration. Source sections give differing language counts, so no aggregate language total is exported. Voice consent/misuse limitations remain.

Contributors

• Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

• Qwen3.5-Omni Technical Report
• Qwen Team: ARIA adaptive streaming text-speech alignment — official project

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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