2020
Residual Recurrent Neural Network for Speech Enhancement
ICASSP 2020accepted
Most current speech enhancement models use spectrogram features that require an expensive transformation and result in phase information loss. Previous work has overcome these issues by using convolutional networks to learn the temporal correlations across high-resolution waveforms. These models, ho…