Microphone array beamforming approach to blind speech separation
MLMI'07 Proceedings of the 4th international conference on Machine learning for multimodal interaction
Online blind speech separation using multiple acoustic speaker tracking and time-frequency masking
Computer Speech and Language
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This correspondence presents a microphone array shape calibration procedure for diffuse noise environments. The procedure estimates intermicrophone distances by fitting the measured noise coherence with its theoretical model and then estimates the array geometry using classical multidimensional scaling. The technique is validated on noise recordings from two office environments.