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Comparison Between Different Sound Source Localization Techniques Based on a Real Data Collection

Comparing the different sound source localization techniques, proposed in the literature during the last decade, represents a relevant topic in order to establish advantages and disadvantages of a given approach in a real-time implementation. Traditionally, algorithms for sound source localization rely on an estimation of time difference of arrival (TDOA) at microphone pairs through GCC-PHAT When several microphone pairs are available the source position can be estimated as the point in space that best fits the set of TDOA measurements by applying global coherence field (GCF), also known as SRP-PHAT, or oriented global coherence field (OGCF). A first interesting analysis compares the performance of GCF and OGCF to a suboptimal LS search method. In a second step, Adaptive Eigenvalue Decomposition is implemented as an alternative to GCC-PHAT in TDOA estimation. Comparative experiments are conducted on signals acquired by a linear array during WOZ experiments in an interactive-TV scenario. Changes in performance according to different SNR levels are reported.