2025
Hybrid Feature Global Attention Network for Noisy-reverberant Speech Enhancement
ICASSP 2025accepted
Deep neural network-based speech enhancement methods have become widespread, with one of its fundamental aspects being the effective extraction and application of features in the time-frequency domain. This paper proposes a hybrid feature global attention network (HFGANet) designed to efficiently ex…