2018/09/20 by Lin, Shoufeng
#Audio and Speech Processing (eess.AS) #FOS: Electrical engineering #electronic engineering #information engineering
paper · doi:10.48550/arxiv.1809.07549
This report presents test results for the LOCATA challenge \citelollmann2018locata using the recently developed MCC-PHAT (multichannel cross correlation - phase transform) sound source localization method. The specific tasks addressed are respectively the localization of a single static and a single moving speakers using sound recordings of a variety of static microphone arrays. The test results are compared with those of the MUSIC (multiple signal classification) method. The optimal subpattern assignment (OSPA) metric is used for quantitative performance evaluation. In most cases, the MCC-PHAT method demonstrates more reliable and accurate location estimates, in comparison with those of the MUSIC method.