Sound-Source Localization System for Robotics and Industrial Automatic Control Systems Based on Neural Network
Geng Xin Yang, Jongdae Jung · 2008
In this paper we described a horizontal sound-source localization (SSL) system which can be applied in mobile robots and industrial automatic systems. A novel approach of applying artificial neural network was proposed to obtain the horizontal direction angle (azimuth) of the sound source. According to humanoid characteristic only two microphones, which were attached symmetrically on both sides of the robot as its two ears, were utilized and tested. Sound wave signals were received from both microphones and analyzed directly by neural network. Two sets of training data were collected and used to train neural network, according to which, different performances of the SSL system were verified and compared. The strong recognizing and calculating ability of neural network made the system work effectively and accurately.