Trainable Adaptive Window Switching for Speech Enhancement

Yuma Koizumi, Noboru Harada, Yoichi Haneda

This study proposes a trainable adaptive window switching (AWS) method and apply it to a deep-neural-network (DNN) for speech enhancement in the modified discrete cosine transform…