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《Journal of Applied Acoustics》 2019-06
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Off-grid binaural sound source localization using sparse representation and feature weighting

DING Jiance;LI Jian;ZHENG Chengshi;LI Xiaodong;Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences;University of Chinese Academy of Sciences;  
Traditional binaural sound source localization(BSSL) techniques using measured head-related transfer function(HRTF) databases often suffer a typical off-grid problem, where their estimated azimuth angles are restricted at the measured azimuth angles of HRTF databases. When the interval of the measured azimuth angles is large, the performance of these techniques will degrade significantly. This paper proposes an off-grid BSSL algorithm based on weighted wideband sparse Bayesian learning. First, the algorithm establishes an off-grid sparse representation model. Then weighted values based on binaural coherent-to-diffuse power ratio(BCDR) for all frequency bins are calculated to reduce the impact of noise and reverberation. Finally, a weighted wideband sparse Bayesian learning algorithm is derived to solve the off-grid BSSL problem. Experimental results demonstrate that the proposed method can achieve higher localization accuracy and is more robust than the compared HRTF-based BSSL techniques in various acoustic environments, especially under the offgrid situations.
【Fund】: 国家自然科学基金项目(61571435 61801468)
【CateGory Index】: TN912.3;TP311.13
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【Citations】
Chinese Journal Full-text Database 1 Hits
1 SUN Hong1 ZHANG Zhi-lin2 YU Lei1,3(1.School of Electronic Information,Wuhan University,430072 Wuhan,China; 2.Dept.Electrical and Computer Engineering,University of California,CA92093-0407,USA; 3.VisAGeS U746 Research Unit,INRIA,35042 Rennes,France);From Sparsity to Structured Sparsity: Bayesian Perspective[J];信号处理;2012-06
China Proceedings of conference Full-text Database 1 Hits
1 DING Jian-ce;ZHENG Cheng-shi;LI Xiao-dong;Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Science;University of Chinese Academy of Sciences;;Binaural coherent-to-diffuse power ratio weighted sound source localization[A];[C];2017
【Co-citations】
Chinese Journal Full-text Database 6 Hits
1 CHEN Luan;ZHANG Hai-jian;SUN Hong;Electronic Information School,Wuhan University;;Multi-target Direct Position Determination using Subspace based Compressive Sensing[J];信号处理;2015-10
2 YANG Yan;LU Zhen;ZHAO Li;Yancheng industrial vocational technical college school of automotive engineering;School of Information Science and Engineering of Southeast University;;An Speaker Recognition Algorithm Based on Bayesian Compressed Sensing[J];电子器件;2015-05
3 YUE Can;YU Lei;SUN Hong;School of Electronic Information,Wuhan University;Regional Training Base of Chinese People's Armed Police Corps in Hubei Province;;Multichannel Joint Estimation Via Structured Sparse Array[J];信号处理;2015-08
4 Cui Zhen;Shan Shiguang;Chen Xilin;School of Computer Science and Technology,Huaqiao University;Key Laboratory of Intelligent Information Processing (Institute of Computing Technology,Chinese Academy of Sciences);University of Chinese Academy of Sciences;;Structured Sparse Linear Discriminant Analysis[J];计算机研究与发展;2014-10
5 Xiong Jiping;Zhao Jian;Xuan Lifeng;Institute of Image and Graphics Processing,School of Mathematics and Information Engineering,Zhejiang Normal University;;Research on the information hiding transmission in WSN based on Bayes compressive sensing[J];微型机与应用;2014-05
6 Deng Cheng-Zhi;Tian Wei;Chen Pan;Wang Sheng-Qian;Zhu Hua-Sheng;Hu Sai-Feng;Department of Information Engineering, Nanchang Institute of Technology;Department of Communication and Electronic, Jiangxi Science and Technology Normal University;;Infrared image super-resolution via locality-constrained group sparse model[J];物理学报;2014-04
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