基于二次相关的声学测量方法研究  

Research on acoustic measurement methodsbased on quadratic correlation

作　　者：张雪敏[1] 谷力[1] ZHANG Xuemin;GU Li(Xi’an Siyuan University,Xi’an 710038,China)

机构地区：[1]西安思源学院,西安710038

出　　处：《自动化与仪器仪表》2023年第5期34-38,共5页Automation & Instrumentation

基　　金：西安思源学院校基金资助(XASYPY2-B2006)。

摘　　要：针对传统语音信号时延估计易受噪声和混响环境影响,导致声学测量方法的测量精度降低的问题,提出一种基于改进二次互相关的时延估计方法。首先,采用滤波器对接收的音频信号进行滤波处理;然后通过二次相关算法抑制噪声对信号的干扰,并结合Hilbert变换方法对二次互相关峰值进行锐化处理,从而提升语音信号时延的峰值点检测精度;最后将改进的算法应用到声学测量中进行仿真验证。实验结果表明,在低信噪比SNR=-5 dB和SNR=-10 dB的环境下,对比于广义互相关算法和二次相关算法,提出的改进二次互相关算法的峰值明显度更高,时延估计精确度更高。而在高信噪比和混响环境下,改进二次相关算法的时延估计结果均优于另外两种算法。由此可知,改进的二次互相关算法的抗噪性能更强,时延估计效果更佳,可提升声学测量精度。In view of the problem that the traditional speech signal time delay estimation is easily affected by the noise and the reverberation environment,which reduces the measurement accuracy of the acoustic measurement method,a time delay estimation method based on the improved quadratic cross-correlation is proposed.First,the filter is used to filter the received audio signal;then the noise interference is suppressed and the secondary correlation peak is sharpened in combination with the Hilbert transformation method to improve the detection accuracy of the peak point of the voice signal delay.Finally,the improved algorithm is applied to the acoustic measurement for simulation verification.Experimental results show that the proposed improved quadratic cross-correlation algorithm has higher distinct peak value,and more accurate delay estimation with low SNR SNR=5 dB and SNR=10 dB compared with generalized and quadratic correlation algorithms.However,in the environment,the delay estimation results of the improved quadratic correlation algorithm are better than the other two algorithms.Therefore,the improved secondary cross-correlation algorithm has stronger anti-noise performance and better delay estimation effect,which can improve the accuracy of acoustic measurement.

关 键 词：二次相关 时延估计 广义互相关 声学测量 信噪比 

分 类 号：TP392[自动化与计算机技术—计算机应用技术]