WaveGrad: Estimating Gradients for Waveform Generation

Nanxin Chen
Nanxin Chen
William Chan
William Chan
Cited by: 2|Bibtex|Views16
Other Links: arxiv.org

Abstract:

This paper introduces WaveGrad, a conditional model for waveform generation through estimating gradients of the data density. This model is built on the prior work on score matching and diffusion probabilistic models. It starts from Gaussian white noise and iteratively refines the signal via a gradient-based sampler conditioned on the m...More

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