Adversarial Audio Synthesis

Chris Donahue, Julian McAuley, Miller Puckette

Abstract: Audio signals are sampled at high temporal resolutions, and learning to synthesize audio requires capturing structure across a range of timescales. Generative adversarial networks (GANs) have seen wide success at generating images that are both locally and globally coherent, but they have seen little application to audio generation. In this paper we introduce WaveGAN, a first attempt at applying GANs to unsupervised synthesis of raw-waveform audio. WaveGAN is capable of synthesizing one second slices of ...

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3.4 years ago

FJ Tunes ▴ 22

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Adversarial Audio Synthesis