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http://dx.doi.org/10.7471/ikeee.2019.23.4.1360

Sound Source Localization Method Based on Deep Neural Network  

Park, Hee-Mun (School of Electrical, Electronics and Communication Engineering, Korea University of Technology and Education)
Jung, Jong-Dae (School of Electrical, Electronics and Communication Engineering, Korea University of Technology and Education)
Publication Information
Journal of IKEEE / v.23, no.4, 2019 , pp. 1360-1365 More about this Journal
Abstract
In this paper, we describe a sound source localization(SSL) system which can be applied to mobile robot and automatic control systems. Usually the SSL method finds the Interaural Time Difference, the Interaural Level Difference, and uses the geometrical principle of microphone array. But here we proposed another approach based on the deep neural network to obtain the horizontal directional angle(azimuth) of the sound source. We pick up the sound source signals from the two microphones attached symmetrically on both sides of the robot to imitate the human ears. Here, we use difference of spectral distributions of sounds obtained from two microphones to train the network. We train the network with the data obtained at the multiples of 10 degrees and test with several data obtained at the random degrees. The result shows quite promising validity of our approach.
Keywords
Sound Source Localization(SSL); Deep Neural Network; Mobile Robot; Spectral Distribution; ITD; ILD;
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