Acoustic MIMO Signal Processing (Signals and Communication Technology)
Acoustic MIMO Signal Processing (Signals and Communication Technology)
New insights into non-causal multichannel linear filtering for noise reduction
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
On Microphone-Array Beamforming From a MIMO Acoustic Signal Processing Perspective
IEEE Transactions on Audio, Speech, and Language Processing
Direction of Arrival Estimation Using the Parameterized Spatial Correlation Matrix
IEEE Transactions on Audio, Speech, and Language Processing
Dual-Source Transfer-Function Generalized Sidelobe Canceller
IEEE Transactions on Audio, Speech, and Language Processing
The multivariate complex normal distribution-a generalization
IEEE Transactions on Information Theory
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The knowledge of the target speech presence probability in a mixture of signals captured by a speech communication system is of paramount importance in several applications including reliable noise reduction algorithms. In this correspondence, we establish a new expression for speech presence probability when an array of microphones with an arbitrary geometry is used. Our study is based on the assumption of the Gaussian statistical model for all signals and involves the noise and noisy data statistics only. In comparison with the single-channel case, the new proposed multichannel approach can significantly increase the detection accuracy. In particular, when the additive noise is spatially coherent, perfect speech presence detection is theoretically possible, while when the noise is spatially white, a coherent summation of speech components is performed to allow for enhanced speech presence probability estimation.