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作 者:黄丽霞[1] 昝丹斐 张晓丹[1] 张雪英[1] 王洪翠[2] HUANG Li-xia ZAN Dan-fei ZHANG Xiao-dan ZHANG Xue-ying WANG Hong-cui(College of Information Engineering, Taiyuan University of Technology, Taiyuan 030024,China College of Computer Science and Technology, Tianj in University, Tianj in 300192, China)
机构地区:[1]太原理工大学信息工程学院,山西太原030024 [2]天津大学计算机科学与技术学院,天津300192
出 处:《计算机工程与设计》2017年第11期3041-3045,3142,共6页Computer Engineering and Design
基 金:国家自然科学基金项目(61371193;61303109);山西省自然科学基金项目(2014021022-6)
摘 要:为提高混响环境下双声源定位系统的性能,提出基于子带分析的加权广义互相关双声源定位算法。利用语音信号在频域的稀疏性,将语音信号频域分为8个不同的子带,将基于平均幅度差函数加权的广义互相关算法投影到滤波器子带空间中,通过加权平均的方式融合各子带的时间延迟信息,结合四元阵得到声源三维位置估计。仿真结果表明,在两个声源同时发声并存在混响的情况下,相对于传统的全频带广义互相关算法,基于子带分析的算法在定位准确率上有显著提高,与基于广义互相关的子带分析算法相比,所提算法在混响情况下有较好的定位精度。To improve the localization performance of double sound sources in reverberation situations,a localization method for double sound sources based on sub-band weighted generalized cross correlation(WCC)was presented.Since sound signal is sparse in frequency domain,sound signal was divided into eight sub-bands.Generalized cross correlation(GCC)which weighted by average magnitude difference function(AMDF)was computed in each sub-band.Information of time delay from sub-bands was fused in a weighted average manner.Source three-dimensional location estimations were produced in a geometric algorithm based on the rectangle microphone array architecture.Simulation results show that the correct rate of the algorithm based on sub-band is significantly better than the algorithm based on full-band.Compared with the sub-band GCC algorithm,the proposed algorithm has better accuracy in reverberation situations.
关 键 词:双声源定位 子带分析 广义互相关 平均幅度差函数 时延估计
分 类 号:TN912.3[电子电信—通信与信息系统]
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