Analysis of the GCC-PHAT technique for multiple sources

B. Kwon, Youngjin Park, Youn-sik Park
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引用次数: 32

Abstract

Techniques to estimate the time delay of arrival (TDOA) using the measurements of the acoustic signals by microphones have been studied in various fields such as the robot auditory system, teleconference system and speech recognition system. One common method of determining TDOA is to compute the cross correlation function. The Generalized Cross Correlation (GCC) method, which calculates the correlation function by using inverse Fourier transformation of the cross power spectral density function multiplied by the proper weighting function, was proposed by Knapp and Cater in 1976. This method analyzed the weighting functions to estimate the optimal TDOA for a single source. In this paper, we derived the cross correlation function by GCC method with PHAT weighting function for multiple sources and ascertained the relationship between the correlation value and source characteristics. Moreover, we compared the derived GCC function for two sources case with the real GCC function calculated by the actual signals and verified their similarity.
多源gc - phat技术分析
在机器人听觉系统、电话会议系统和语音识别系统中,利用麦克风测量声信号来估计到达时间延迟(TDOA)的技术已经得到了广泛的研究。确定TDOA的一种常用方法是计算互相关函数。广义互相关(GCC)方法是由Knapp和Cater于1976年提出的,该方法通过交叉功率谱密度函数乘以适当的加权函数的傅里叶反变换来计算相关函数。该方法通过分析加权函数来估计单源的最优TDOA。本文采用GCC方法,结合PHAT加权函数,推导了多源的相互关联函数,确定了相关值与源特性之间的关系。并将两种源情况下推导的GCC函数与实际信号计算的实际GCC函数进行了比较,验证了两者的相似性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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