DisCoGAN uses latent features from a frozen discriminative speech-enhancement encoder as conditioning for a GAN generator, improving low-SNR enhancement over existing GAN pipelines.
Noise spectrum estimation in adverse environments: Im- proved minima controlled recursive averaging,
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Leveraging Discriminative Latent Representations for Conditioning GAN-Based Speech Enhancement
DisCoGAN uses latent features from a frozen discriminative speech-enhancement encoder as conditioning for a GAN generator, improving low-SNR enhancement over existing GAN pipelines.