AWhat changed
Combined a compact dual-softmax recurrent waveform model with sparse weights and a subscale generation scheme to improve audio sampling efficiency.
Scientific scope
Combined a compact dual-softmax recurrent waveform model with sparse weights and a subscale generation scheme to improve audio sampling efficiency. Inherits autoregressive audio modeling and pruning. Sparse quality/runtime advantages are empirical for tested configurations, not a general equivalence of sparsity and quality or guaranteed real-time operation on every CPU.
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 autoregressive audio modeling and pruning. Sparse quality/runtime advantages are empirical for tested configurations, not a general equivalence of sparsity and quality or guaranteed real-time operation on every CPU.
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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