What is recorded here?
Introduced a deep autoregressive model that generates raw audio waveforms sample by sample, with applications to text-to-speech and music generation.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
The 2016 paper is a model architecture and reported experiments, not evidence that the original sample-by-sample system was real-time or replaced all speech synthesis systems.
Read the original work
- van den Oord and colleagues: WaveNet raw-audio generation — original paper
- van den Oord and colleagues: WaveNet raw-audio generation — company research page
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
Aaron van den Oord; Sander Dieleman; Heiga Zen; Karen Simonyan; Oriol Vinyals; Alex Graves; Nal Kalchbrenner; Andrew Senior; Koray Kavukcuoglu
Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.
Research locations and affiliations
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English catalogue narrative
van den Oord and colleagues: WaveNet raw-audio generation
Introduced a deep autoregressive model that generates raw audio waveforms sample by sample, with applications to text-to-speech and music generation.
Scientific scope
The 2016 paper is a model architecture and reported experiments, not evidence that the original sample-by-sample system was real-time or replaced all speech synthesis systems.
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
Aaron van den Oord; Sander Dieleman; Heiga Zen; Karen Simonyan; Oriol Vinyals; Alex Graves; Nal Kalchbrenner; Andrew Senior; Koray Kavukcuoglu
Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.