A two-stage neural vocoder predicts noisy amplitude and phase spectra from a noisy mel-spectrogram, denoises them with MP-SENet, and reconstructs clean speech, outperforming HiFi-GAN and Vocos on VoiceBank+DEMAND.
IEEE/ACM Transactions on Audio, Speech, and Language Processing 26(8), 1420–1433 (2018)
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A Neural Denoising Vocoder for Clean Waveform Generation from Noisy Mel-Spectrogram based on Amplitude and Phase Predictions
A two-stage neural vocoder predicts noisy amplitude and phase spectra from a noisy mel-spectrogram, denoises them with MP-SENet, and reconstructs clean speech, outperforming HiFi-GAN and Vocos on VoiceBank+DEMAND.