Web: https://syncedreview.com/2022/06/22/a-wavenet-rival-stanford-u-study-models-raw-audio-waveforms-over-contexts-of-500k-samples/

June 22, 2022, 2:30 p.m. | Synced

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In the new paper GoodBye WaveNet — A Language Model for Raw Audio with Context of 1/2 Million Samples, Stanford University researcher Prateek Verma presents a generative auto-regressive architecture that models audio waveforms over contexts greater than 500,000 samples and outperforms state-of-the-art WaveNet baselines.

The post A WaveNet Rival? Stanford U Study Models Raw Audio Waveforms Over Contexts of 500k Samples first appeared on Synced.

ai artificial intelligence audio audio-processing deep-neural-networks machine learning machine learning & data science ml models research stanford study technology wavenet

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