title: Deep Learning-Based Speech Specific Source Localization by Using Binaural and Monaural Microphone Arrays in Hearing Aids
abstract: A deep learning-based method is proposed for jointly detecting and localizing speech sources in a complex acoustic scene by using microphones of a hearing aid. Motivated by the human auditory system, peripheral preprocessing is applied on the microphone signals to obtain auditory subband signals that serve as input to the proposed deep neural network for detecting and localizing speech sources. In the proposed neural network, a combination of residual and dense aggregation learning is utilized r
journal: IEEE/ACM Transactions on Audio Speech and Language Processing