125 citations · 703 across the 21 of their papers we have counts for
3 papers · 1 filter
CMGAN: Conformer-Based Metric-GAN for Monaural Speech Enhancement
Sherif Abdulatif, Ruizhe Cao, Bin Yang
In this work, we further develop the conformer-based metric generative adversarial network (CMGAN) model for speech enhancement (SE) in the time-frequency (TF) domain. This paper b…
CMGAN: Conformer-based Metric GAN for Speech Enhancement
Ruizhe Cao, Sherif Abdulatif, Bin Yang
Recently, convolution-augmented transformer (Conformer) has achieved promising performance in automatic speech recognition (ASR) and time-domain speech enhancement (SE), as it can…
Investigating Cross-Domain Losses for Speech Enhancement
Sherif Abdulatif, Karim Armanious, Jayasankar T. Sajeev +2
Recent years have seen a surge in the number of available frameworks for speech enhancement (SE) and recognition. Whether model-based or constructed via deep learning, these framew…