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Fast Sound Source Localization Using Two-Level Search Space Clustering
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DOI：10.1109/TCYB.2015.2391252.png)
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Abstract
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Steered response power phase transform (SRP-PHAT) is a method that is widely used for robust sound source localization (SSL). However, since SRP-PHAT searches over a large number of candidate locations, it is too slow to run in real-time for large-scale microphone array systems. In this paper, we propose a robust two-level search space clustering method to speed-up SRP-PHAT-based SSL. The proposed method divides the candidate locations of the sound source into a set of groups and finds a small number of groups that are likely to contain the maximum power location. By searching within the small number of groups, the computational costs are reduced by 61.8% compared to a previously proposed method without loss of accuracy.
Keywords:
Search space clustering (SSC)
sound source localization (SSL)
steered response power phase transform (SRP-PHAT)
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