What is recorded here?
Combined a compact dual-softmax recurrent waveform model with sparse weights and a subscale generation scheme to improve audio sampling efficiency.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
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.
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People and systems
Nal Kalchbrenner; Erich Elsen; Karen Simonyan; Seb Noury; Norman Casagrande; Edward Lockhart; Florian Stimberg; Aäron van den Oord; Sander Dieleman; Koray Kavukcuoglu
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.
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English catalogue narrative
WaveRNN: compact recurrent waveform sampling and subscaling
Combined a compact dual-softmax recurrent waveform model with sparse weights and a subscale generation scheme to improve audio sampling efficiency.
Scientific scope
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.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Nal Kalchbrenner; Erich Elsen; Karen Simonyan; Seb Noury; Norman Casagrande; Edward Lockhart; Florian Stimberg; Aäron van den Oord; Sander Dieleman; Koray Kavukcuoglu
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.