Performance Optimization of GCC-PHAT for Delay and Polarity Correction under Real World Conditions
When coherent audio streams are summed, delays can cause comb filtering and polarity inversion can result in cancellation. The GCC-PHAT algorithm is a popular method for detecting (and hence correcting) the delay. This paper explores the performance of the Generalized Cross Correlation with Phase Transform (GCC-PHAT) for delay and polarity correction, under a variety of different conditions and parameter settings, and offers various optimizations for those conditions. In particular, we investigated the performance for moving sources, background noise, and reverberation. We consider the effect of varying the size of the Fourier Transform when performing GCC-PHAT. In addition to accuracy, computational efficiency and latency were also used as metrics of performance.
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