| 一种改进的联合SRP-PHAT语音定位算法 |
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| 引用本文： | 袁安富,孟君.一种改进的联合SRP-PHAT语音定位算法[J].南京气象学院学报,2012,4(6):534-539. |
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| 作者姓名： | 袁安富 孟君 |
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| 作者单位： | 南京信息工程大学 信息与控制学院,南京,210044;南京信息工程大学 信息与控制学院,南京,210044 |
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| 基金项目： | 南京信息工程大学科研基金(2008-0326) |
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| 摘 要： | 提出了一种基于正交直线麦克风阵列的分级搜索SRP-PHAT(可控响应功率-相位加权)语音定位算法.利用正交直线麦克风阵列将二维搜索空间缩减为2个一维空间以减少计算量,并联合使用四叉树由粗到细的分级搜索(hierarchical search)策略分别在一维空间中搜索声源位置.通过Matlab对联合算法进行了仿真,实现了声源定位,并与传统的全搜索SRP-PHAT算法和改进前的基于正交直线麦克风阵列的加速SRP-PHAT算法进行比较分析.实验与仿真结果显示:该联合算法大大减少了计算量和定位时间,能准确定位声源位置.
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| 关 键 词： | 声源定位 可控响应功率-相位加权算法 正交直线麦克风阵 分级搜索 |
| 收稿时间： | 2011/3/1 0:00:00 |
A combined SRP-PHAT method for sound source localization |
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| YUAN Anfu and MENG Jun.A combined SRP-PHAT method for sound source localization[J].Journal of Nanjing Institute of Meteorology,2012,4(6):534-539. |
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| Authors: | YUAN Anfu and MENG Jun |
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| Institution: | School of Information and Control,Nanjing University of Information Science & Technology,Nanjing 210044;School of Information and Control,Nanjing University of Information Science & Technology,Nanjing 210044 |
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| Abstract: | In microphone arrays application,it is difficult to localize sound source accurately and quickly in a noisy and reverberant environment.In order to solve this problem,many researchers have presented different approaches.The steered response power-phase transform weighted(SRP-PHAT) source localization algorithm has been proved robust,however,it requires high computation cost for searching the peak of steered response power in a large location space.Thus,an improved SRP-PHAT method using an orthogonal linear array was presented in this paper,which reduced a two-dimension searching space to a couple of one-dimension ones.Then the parameters of direction of arrival(DOA) were separated,and computed respectively in the one-dimension searching space with coarse-fine strategies of hierarchical search.This algorithm was based on the observation that the wavelengths of the sound from a speech source are comparable to the dimensions of the space being searched and that the source was broadband.A systematic series of comparisons with previous algorithms were made basing on Matlab.Simulations show that the main computational load of SRP-PHAT algorithms has been greatly cut down,and there is no loss in accuracy in the proposed method.The performance of the algorithm can be further improved by using constraints from computer vision. |
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| Keywords: | sound source localization SRP-PHAT orthogonal linear array hierarchical search |
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