What changed
Separated temporal and codec-depth processing and reused a fully shared, stage-conditioned depth decoder across quantization levels, combining it with a fixed-window cache for streaming semantic-to-audio detokenization.
Scientific scope
Separated temporal and codec-depth processing and reused a fully shared, stage-conditioned depth decoder across quantization levels, combining it with a fixed-window cache for streaming semantic-to-audio detokenization. Moshi's temporal/depth factorization and DiT-style conditioning are inherited. Delta removes per-codebook projections, not invention of depth decoding. Constant memory concerns the fixed-window synthesis component, not total assets, output storage or the entire assistant. AMX latency/memory and deployment are source-reported.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Moshi's temporal/depth factorization and DiT-style conditioning are inherited. Delta removes per-codebook projections, not invention of depth decoding. Constant memory concerns the fixed-window synthesis component, not total assets, output storage or the entire assistant. AMX latency/memory and deployment are source-reported.
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.
- Memory Efficient Audio Synthesis with Decoupled Temporal Depth Diffusion Transformers
- Hwang et al.: fully shared depth decoding for memory-efficient speech synthesis — official institutional account
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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B