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基于HRTF和主成分分析的声源定位研究 被引量:1

Research on sound source localization based on HRTF and principal components analysis
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摘要 传统双麦克风阵列在进行声源定位时有误差大、范围小,易产生前后镜像声源的混淆等缺点,而人的双耳却可以较准确地判断三维空间的声源方向.根据双耳定位原理,本文提出了一种基于HRTF和主成分分析的声源定位方法.利用具有双耳特性的双麦克风接收声信号,采用相关法辨识不同方位双耳特性差异并和HRTF数据库计算得到的真实值比较完成声源定位.仿真实验证明,提出的方法能有效进行三维空间的声源定位,突破了传统双麦克风的声源定位限制,引入主成分分析节省了定位所用数据的存储空间,为方案的实时实现提供了依据. Sound source location based on traditional dual-microphones has some shortcomings such as bigger errors, smaller ranges and confusion of front and back mirror image sound sources, etc, but human ears can accurately determine a 3d sound direction. According to the principles of binaural sound source localization, a method for sound source localization based on HRTF and principal components analysis is proposed, which uses dual-microphones with human binaural characteristics to receive sound signals. In addition, we adopt Correlation Method to identify the contrastive differences of binaural characteristics from different orientations, and obtain a location when we compare them with real values which are calculated based on the HRTF database. The simulation experiments show that the proposed method can not only effectively determine a 3d source direction, but also break through the limit of source location of traditional dual-microphones. Introducing principal components analysis is proved to reduce data storage space and provides a basis for real-time practice.
出处 《四川大学学报(自然科学版)》 CAS CSCD 北大核心 2011年第2期333-338,共6页 Journal of Sichuan University(Natural Science Edition)
基金 国家自然科学基金(61071159)
关键词 声源定位 双耳特性 HRTF 主成分分析 sound source localization, binaural characteristics, head-related Transfer functions, principal components analysis
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参考文献6

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