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http://dx.doi.org/10.6109/jkiice.2014.18.6.1302

Direction-of-Arrival Estimation of Speech Signals Based on MUSIC and Reverberation Component Reduction  

Chang, Hyungwook (Department of Electronics Engineering, Gyeongsang National University)
Jeong, Sangbae (Department of Electronics Engineering, Gyeongsang National University)
Kim, Youngil (Department of Electronics Engineering, Gyeongsang National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.18, no.6, 2014 , pp. 1302-1309 More about this Journal
Abstract
In this paper, we propose a method to improve the performance of the direction-of-arrival (DOA) estimation of a speech source using a multiple signal classification (MUSIC)-based algorithm. Basically, the proposed algorithm utilizes a complex coefficient band pass filter to generate the narrow band signals for signal analysis. Also, reverberation component reduction and quadratic function-based response approximation in MUSIC spatial spectrum are utilized to improve the accuracy of DOA estimation. Experimental results show that the proposed method outperforms the well-known generalized cross-correlation (GCC)-based DOA estimation algorithm in the aspect of the estimation error and success rate, respectively.Abstract should be placed here. These instructions give you guidelines for preparing papers for JICCE.
Keywords
multiple signal classification; sound source localization; direction-of-arrival; cross-correlation;
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