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Speaker Detection and Separation with Small Microphone Arrays

Small microphone arrays are desirable for many practical speech processing applications. In this paper, we describe a system for detecting several sound sources in a room and enhancing a predominant target source using a pair of close microphones. The system consists of three main steps: time-frequency processing of the input signals, source localization via model fitting and time-frequency masking for interference reduction. Experiments and results using recorded signals in real scenarios are discussed.

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