AWhat changed
Modeled user and assistant speech as parallel codec-token streams and predicted time-aligned text before audio tokens, combining a neural codec with a language backbone for duplex dialogue.
Scientific scope
Modeled user and assistant speech as parallel codec-token streams and predicted time-aligned text before audio tokens, combining a neural codec with a language backbone for duplex dialogue. Inherits language models, neural codecs and semantic/acoustic hierarchies. Scoped contribution is duplex/text-audio integration, not adjudicated universal first or proof of arbitrary conversation dynamics. Latency values are original setup measurements.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Inherits language models, neural codecs and semantic/acoustic hierarchies. Scoped contribution is duplex/text-audio integration, not adjudicated universal first or proof of arbitrary conversation dynamics. Latency values are original setup measurements.
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.
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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