[1]王青云,赵力,邹采荣.基于次梯度投影的数字助听器自适应声源定位方法[J].东南大学学报(自然科学版),2009,39(4):667-672.[doi:10.3969/j.issn.1001-0505.2009.04.004]
　Wang Qingyun,Zhao Li,Zou Cairong.Acoustic source localization based on adaptive subgradient projection in digital hearing aids[J].Journal of Southeast University (Natural Science Edition),2009,39(4):667-672.[doi:10.3969/j.issn.1001-0505.2009.04.004]
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基于次梯度投影的数字助听器自适应声源定位方法()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
39
期数:
2009年第4期
页码:
667-672
栏目:
信息与通信工程
出版日期:
2009-07-20

文章信息/Info

Title:
Acoustic source localization based on adaptive subgradient projection in digital hearing aids
作者:
王青云1; 2;  赵力1;  邹采荣1
1 东南大学信息科学与工程学院, 南京 210096; 2 南京工程学院通信工程学院, 南京 211167
Author(s):
Wang Qingyun1; 2;  Zhao Li1;  Zou Cairong1
1 School of Information Science and Engineering, Southeast University, Nanjing 210096, China
2 School of Communication Engineering, Nanjing Institute of Technology, Nanjing 211167, China
关键词:
声源定位;  自适应次梯度投影算法;  数字助听器
Keywords:
speech source localization;  adaptive subgradient projection algorithm;  digital hearing aids
分类号:
TN912
DOI:
10.3969/j.issn.1001-0505.2009.04.004
摘要:
该方法在特征值分解算法的基础之上,利用次梯度投影方法自适应估计声源到麦克风的脉冲响应系数,进而估计出各麦克风之间时延,并利用几何方法定位声源在3D空间的位置.与传统的基于广义互相关的时延估计算法相比,提出的算法在房间反射与共振的情况下定位精度更高; 与基于NLMS算法的自适应特征值分解时延估计算法相比,提出的算法收敛速度更快,并且在强噪声的情况下鲁棒性更强.基于眼镜数字助听器声源定位系统的实验与仿真研究了麦克风阵不同的几何尺寸对算法性能和定位精度的影响,证明了在不同信噪比情况下该算法都能有效定位声源的3D空间位置.
Abstract:
Based on the eigenvalue decomposition(EVD)algorithm, the proposed method estimates the impulse response coefficients between speech source and microphones by means of adaptive subgradient projection algorithm, then acquires the time delays of microphone pairs, and calculates the source position in 3D space by geometric method subsequently. Compared with the traditional time-delay estimation algorithms based on generalized cross-correlation(GCC), the proposed method achieves more accurate results when reverberation exists. Compared with the adaptive normalized least mean squares-EVD algorithm, the proposed method converges faster and is more robust under strong noises. Experiments and simulations based on glasses hearing aid show the influences on the localization performance for different microphone array sizes, and demonstrate the validity of the proposed method using signals with different signal-to-noise ratios(SNRs).

参考文献/References:

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[2] Liu Chen,Wheeler Bruce C,O’Brien William D,et al.Localization of multiple sound sources with two microphones[J].Journal of Acoustical Society of America,2000,108(4):1888-1904.
[3] Widrow Bernard.A microphone array for hearing aids[J].IEEE Circuits and Systems Magazine,2000,1(2):26-32.
[4] Wu Wen-Chih,Hsieh Cheng-Hsun,Huang Hsin-Chieh,et al.Hearing aid system with 3D sound localization[C] //Proceedings of IEEE Region 10 Conference on TENCON.Taipei,China,2007:1-4.
[5] Benesty Jacob,Chen Jingdong,Huang Yiteng. Microphone array signal processing[M].Berlin,Germany:Springer,2008:182-215.
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备注/Memo

备注/Memo:
作者简介: 王青云(1972—),女,博士生,副教授; 赵力(联系人),男,博士,教授,博士生导师,zhaoli@seu.edu.cn.
基金项目: 国家自然科学基金资助项目(60872073)、江苏省自然科学基金资助项目(BK2008291)、国家教育部博士点基金资助项目(20050286001).
引文格式: 王青云,赵力,邹采荣.基于次梯度投影的数字助听器自适应声源定位方法[J].东南大学学报:自然科学版,2009,39(4):667-672.[doi:10.3969/j.issn.1001-0505.2009.04.004]
更新日期/Last Update: 2009-07-20