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This paper summarizes the methods used to localize the sources recorded forthe LOCalization And TrAcking (LOCATA) challenge. The tasks of stationarysources and arrays were considered, i.e., tasks 1 and 2 of the challenge, whichwere recorded with the Nao robot array, and the Eigenmike array. For botharrays, direction of arrival (DOA) estimation has been performed withmeasurements in the short time Fourier transform domain, and with direct-pathdominance (DPD) based tests, which aim to identify time-frequency (TF) binsdominated by the direct sound. For the recordings with Nao, a DPD test which isapplied directly to the microphone signals was used. For the Eigenmikerecordings, a DPD based test designed for plane-wave density measurements inthe spherical harmonics domain was used. After acquiring DOA estimates with TFbins that passed the DPD tests, a stage of k-means clustering is performed, toassign a final DOA estimate for each speaker.

Description of algorithms for Ben-Gurion University Submission to the LOCATA challenge