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      "statement": "# van den Oord and colleagues: WaveNet raw-audio generation\n\nIntroduced a deep autoregressive model that generates raw audio waveforms sample by sample, with applications to text-to-speech and music generation.\n\n## Scientific scope\n\nThe 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.\n\n## Reading status\n\nThis 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.\n\n## People and systems\n\nAaron van den Oord; Sander Dieleman; Heiga Zen; Karen Simonyan; Oriol Vinyals; Alex Graves; Nal Kalchbrenner; Andrew Senior; Koray Kavukcuoglu\n\nComplete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.\n\n\n\n## Original sources\n\n- [van den Oord and colleagues: WaveNet raw-audio generation — original paper](https://arxiv.org/abs/1609.03499v2)\n- [van den Oord and colleagues: WaveNet raw-audio generation — company research page](https://deepmind.google/blog/wavenet-a-generative-model-for-raw-audio/)\n",
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