Single Source Localization from Microphone Array Data Frame Using SRP-PHAT Algorithm

This function performs single source localization from a data frame captured by microphone arrays. The implementation utilizes the Steered Response Power with the PHAse Transform (SRP-PHAT) as its core functional. SRP-PHAT is an advanced acoustic signal processing technique that determines sound source position by computing sound wave propagation time and directional information across multiple microphone inputs. The algorithm works by first applying phase transform to microphone signals for whitening, then calculating steered response power across potential source locations through delay-and-sum beamforming. By leveraging this technique, our function achieves enhanced source localization accuracy, significantly improving audio data processing efficiency and precision. The implementation typically involves calculating cross-correlations between microphone pairs, applying frequency-domain processing for computational efficiency, and searching for the maximum SRP value across spatial grids to identify the source location.