{"id":166124,"date":"2012-09-01T00:00:00","date_gmt":"2012-09-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/speaker-tracking-for-teleconferencing-via-binaural-headset-microphones\/"},"modified":"2018-10-16T20:09:14","modified_gmt":"2018-10-17T03:09:14","slug":"speaker-tracking-for-teleconferencing-via-binaural-headset-microphones","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/speaker-tracking-for-teleconferencing-via-binaural-headset-microphones\/","title":{"rendered":"Speaker tracking for teleconferencing via binaural headset microphones"},"content":{"rendered":"
\n

Speaker tracking for teleconferencing via user-worn binaural headset microphones in combination with a reference microphone array is proposed. The tracking is implemented with particle filtering based on maximum likelihood estimation of time-difference of arrival (TDOA) estimates. An importance function for prior weighting of the particles of silent conferees (i.e., listeners) is proposed. Experimental results from tracking three conferees in a meeting scenario are presented. The use of user-worn microphones in addition to a reference microphone array is shown to improve speaker distance estimation and overall tracking performance substantially. The importance function improved the tracking RMSE by 58% on average. The position tracking RMSE of the proposed method is about 0.11 m.<\/p>\n<\/div>\n

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Speaker tracking for teleconferencing via user-worn binaural headset microphones in combination with a reference microphone array is proposed. The tracking is implemented with particle filtering based on maximum likelihood estimation of time-difference of arrival (TDOA) estimates. An importance function for prior weighting of the particles of silent conferees (i.e., listeners) is proposed. 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