评估MCC-PHAT的LOCATA挑战-任务1和任务3
Evaluating MCC-PHAT for the LOCATA Challenge - Task 1 and Task 3
摘要：
本报告介绍了\mbox{LOCATA}挑战\cite{lollmann2018locata}使用最近开发的MCC-PHAT（多通道互相关-相位变换）声源定位方法的测试结果。所解决的具体任务分别是一个单一的静态和一个单一的移动扬声器使用的各种静态麦克风阵列的录音定位。并与MUSIC（多重信号分类）方法的测试结果进行了比较。最优子模式分配（OSPA）度量用于定量性能评估。在大多数情况下，与MUSIC方法相比，MCC-PHAT方法表现出更可靠和准确的位置估计。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
