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· 2020

Parallel Wavegan: A Fast Waveform Generation Model Based on Generative Adversarial Networks with Multi-Resolution Spectrogram

Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim

Short summary

Parallel WaveGAN generates high-fidelity 24 kHz speech 28.68x faster than real-time on a single GPU, using a compact generative adversarial network with only 1.44M parameters.

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Field: Signal Processing

Signal ProcessingComputer Science