  This report presents test results for the \mbox{LOCATA} challenge
\cite{lollmann2018locata} 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.
