Advanced Sound Source Localization Study Using De-noising Filter based on the Discrete Wavelet Transform(DWT)
Bo-Yeon Hwang, Jaehoon Jung, Jang-Myung Lee · Journal of Institute of Control Robotics and Systems · 2015
In this paper, a study of advanced sound source localization is conducted by eliminating the noise of the sound source using the discrete wavelet transform. And experiments are conducted to evaluate the performance of the proposed system that the mobile robot follows sound source stably. In addition, we compare the position estimation performance by applying a discrete wavelet transform to improve the reliability of the sound signal. The experimental results reveal that the de-nosing filter which removes the noise component in sound source can make the performance of position estimation more precisely and help the mobile robot distinguish the objective sound source clearly.