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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/11512

Title: Improve equalization-cancellation-based sound localization in noisy reverberant environments using direct-to-reverberant energy ratio
Authors: Chau, Duc Thanh
Li, Junfeng
Akagi, Masato
Keywords: Binaural sound localization
Equalization-Cancellation model
Issue Date: 2013-07-08
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Magazine name: Proc. ChinaSIP2013
Start page: 322
End page: 326
Abstract: We previously proposed an algorithm for binaural sound source localization based on the equalization-cancellation (EC) binaural hearing model. Though this sound source localization approach exhibits relatively good results in noisy conditions, its performance in the presence of reverberation dramatically degrades. To deal with this problem, in this paper, the EC procedures on which the sound localization approach was designed are firstly analyzed. Subsequently, we propose to further improve the previous sound source localization algorithm in reverberant conditions by adapting the parameters of the EC model to the present conditions based on the direct-to-reverberant energy ratio (DRR). Experimental results demonstrate that the improved sound source localization algorithm outperforms our previously-proposed and other traditional sound source localization algorithms under noisy reverberant environments.
Rights: This is the author's version of the work. Copyright (C) 2013 IEEE. Proc. ChinaSIP2013, 2013, 322-326. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
URI: http://hdl.handle.net/10119/11512
Material Type: author
Appears in Collections:b11-1. 会議発表論文・発表資料 (Conference Papers)

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