{"id":161077,"date":"2003-07-01T00:00:00","date_gmt":"2003-07-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/new-direct-approaches-to-robust-sound-source-localization-2\/"},"modified":"2018-10-16T21:13:21","modified_gmt":"2018-10-17T04:13:21","slug":"new-direct-approaches-to-robust-sound-source-localization-2","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/new-direct-approaches-to-robust-sound-source-localization-2\/","title":{"rendered":"New Direct Approaches to Robust Sound Source Localization"},"content":{"rendered":"
When more than two microphones are used, the traditional time-delay-of-arrival (TDOA) based sound source localization (SSL) approach involves two steps. The first step computes TDOA for each microphone pair, and the second step combines these estimates. This two-step process discards relevant information in the first step, thus degrading the SSL accuracy and robustness. Although less used, one-step processes do exist. In this paper, we review these processes, create a unified framework, and introduce two new one-step algorithms.\u00a0 We compare our proposed approaches against existing 1 and 2-step approaches and demonstrate significantly better SSL performance.<\/p>\n","protected":false},"excerpt":{"rendered":"
When more than two microphones are used, the traditional time-delay-of-arrival (TDOA) based sound source localization (SSL) approach involves two steps. The first step computes TDOA for each microphone pair, and the second step combines these estimates. This two-step process discards relevant information in the first step, thus degrading the SSL accuracy and robustness. Although less 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