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The time delay between signals is easily estimated by measuring the time difference between the peaks in the signals. Cross-correlation is an important method for estimating time delay by using correlation function in the time domain and frequency domain. In order to improve the accuracy in locating the peaks in the signal for time delay estimation, the present work uses a generalized cross-correlation (GCC) with phase transform (PHAT) estimator. Time lag between the received signals maximizes the cross-correlation function is used for obtaining the time delay. An experimental study is done using two spatially separated microphones in the presence of uncorrelated noise in a reverberant lab condition. The role of adding PHAT prefilter in GCC is either to emphasize or deemphasize certain frequency bands passed through the correlator before computing cross power spectrum for which signal to noise ratio (SNR) is highest. It is found that for localizing and tracking of sound source, time delay estimation using PHAT weighting function with GCC is one of the most important technique in reverberant condition. GCC-PHAT method is very useful method due to its robustness and fast implementation against environmental noise for finding the source location. This method can be used in many applications like robot auditory system, speech recognition, teleconference system, meeting activity detection, battlefield acoustics, etc.
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