DNN-based Sound Source Localization Method with Microphone Array

Abstract

Sound source localization based on microphone array is a hot topic in the field of speech signal processing in recent years. In this paper, a DNN-based sound source localization method is proposed, which can compensate the phase delay and intensity variation of received microphone signals in the process of transmission to estimate corresponding sound source signals by means of deep learning, and make full use of these information to locate sound source. Compared with traditional methods such as SRP-PHAT and transfer function based method, it has better directionality pattern and noise immunity in localization. Finally, we make the model robustness experiment, which proves that the robustness of the DNN-based method is better than transfer function based method, which can work in real environment with noises.