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

Lior Madmoni, Hanan Beit-On, Hai Morgenstern, Boaz Rafaely

Research output: Working paper/PreprintPreprint

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Abstract

This paper summarizes the methods used to localize the sources recorded for the LOCalization And TrAcking (LOCATA) challenge. The tasks of stationary sources and arrays were considered, i.e., tasks 1 and 2 of the challenge, which were recorded with the Nao robot array, and the Eigenmike array. For both arrays, direction of arrival (DOA) estimation has been performed with measurements in the short time Fourier transform domain, and with direct-path dominance (DPD) based tests, which aim to identify time-frequency (TF) bins dominated by the direct sound. For the recordings with Nao, a DPD test which is applied directly to the microphone signals was used. For the Eigenmike recordings, a DPD based test designed for plane-wave density measurements in the spherical harmonics domain was used. After acquiring DOA estimates with TF bins that passed the DPD tests, a stage of k-means clustering is performed, to assign a final DOA estimate for each speaker.
Original languageEnglish GB
StatePublished - 1 Dec 2018

Keywords

  • Computer Science - Sound
  • Electrical Engineering and Systems Science - Audio and Speech Processing

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