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Auditory filter based broadband MUSIC algorithm for sound source localization
  • ISSN号:0217-9776
  • 期刊名称:Chinese Journal of Acoustics
  • 时间:2013.10
  • 页码:439-453
  • 分类:TN911.7[电子电信—通信与信息系统;电子电信—信息与通信工程] TN912.3[电子电信—通信与信息系统;电子电信—信息与通信工程]
  • 作者机构:[1]Department of Math and Computer Science, Sanming University Sanming, Fujian 365001, [2]Digital Content Technique and Service Research Center, Institute of Automation, Chinese Academy of Sciences Beijing 100190, [3]National Key Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences Beijing 100190
  • 相关基金:This work was supported by the National Nature Science Foundation of China (91120303, 61273267 90820011) and FuJian Nature Science Foundation (2009J01296).
  • 相关项目:行车环境听觉模型及声音处理关键技术
中文摘要:

Based on the analysis of the shortcomings of broadband MUSIC algorithm with short-time Fourier transform(SF-MUSIC) for sound source localization,a broadband MUSIC algorithm with auditory filter(AF-MUSIC) was proposed.The proposed algorithm first employs auditory filter bank to decompose the signals received on the microphone array,and then locates the sound source with MUSIC algorithm over every frequency channel.At last,by combining with the subinterval frequency estimation,the final localization result is gained.Evaluations on the proposed algorithm prove that comparing with the SF-MUSIC algorithm,the AF-MUSIC algorithm decreases the average error of the estimation results with 2.5479 degree in different source conditions.The accuracy of sound source DOA estimation is enhanced effectively.

英文摘要:

Based on the analysis of the shortcomings of broadband MUSIC algorithm with short-time Fourier transform (SF-MUSIC) for sound source localization, a broadband MUSIC algorithm with auditory filter (AF-MUSIC) was proposed. The proposed algorithm first em- ploys auditory filter bank to decompose the signals received on the microphone array, and then locates the sound source with MUSIC algorithm over every frequency channel. At last, by combining with the subinterval frequency estimation, the final localization result is gained. Evaluations on the proposed algorithm prove that comparing with the SF-MUSIC algorithm, the AF-MUSIC algorithm decreases the average error of the estimation results with 2.5479 de- gree in different source conditions. The accuracy of sound source DOA estimation is enhanced effectively.

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期刊信息
  • 《声学学报:英文版》
  • 主管单位:
  • 主办单位:中国科学院声学所 中国声学会
  • 主编:
  • 地址:北京北四环西路21号
  • 邮编:100080
  • 邮箱:jsx@mail.ioa.ac.cn
  • 电话:010-62558329
  • 国际标准刊号:ISSN:0217-9776
  • 国内统一刊号:ISSN:11-2066/O3
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  • 被引量:47