Binaural deep neural network for robust speech enhancement
Yi Jiang, Runsheng Liu · 2014
Robust speech enhancement is a challenge task, especially in noisy environments. The deep neural network has shown good performance on binaural speech enhancement with various speakers at a same distance. As binaural cues are based on the locations of sound sources, this paper analyze the performance of binaural deep neural network with different distances. The theoretical derivation and experiment shows, the computational auditory scene analysis based binaural deep neural network speech enhancement system has robust performance with various sound locations.