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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/12253

Title: Binaural Sound Source Localization in Noisy Reverberant Environments Based on Equalization-Cancellation Theory
Authors: Chau, Thanh-Duc
Li, Junfeng
Akagi, Masato
Keywords: binaural sound localization
equalization-cancellation model
noisy reverberant environments
humanoid robot
Issue Date: 2014-10-01
Publisher: 電子情報通信学会
Magazine name: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Volume: E97-A
Number: 10
Start page: 2011
End page: 2020
Abstract: Sound source localization (SSL), with a binaural input in practical environments, is a challenging task due to the effects of noise and reverberation. In psychoacoustic research field, one of the theories to explain the mechanism of human perception in such environments is the well-known equalization-cancellation (EC) model. Motivated by the EC theory, this paper investigates a binaural SSL method by integrating EC procedures into a beamforming technique. The principle idea is that the EC procedures are first utilized to eliminate the sound signal component at each candidate direction respectively; direction of sound source is then determined as the direction at which the residual energy is minimal. The EC procedures applied in the proposed method differ from those in traditional EC models, in which the interference signals in rooms are accounted in E and C operations based on limited prior known information. Experimental results demonstrate that our proposed method outperforms the traditional SSL algorithms in the presence of noise and reverberation simultaneously.
Rights: Copyright (C)2014 IEICE. Thanh-Duc Chau, Junfeng Li, Masato Akagi, IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences, E97-A(10), 2014, 2011-2020. http://www.ieice.org/jpn/trans_online/
URI: http://hdl.handle.net/10119/12253
Material Type: publisher
Appears in Collections:b10-1. 雑誌掲載論文 (Journal Articles)

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