Generalized Multichannel Wiener Filter for Spatially Distributed Microphones

Considerable noise reduction can be achieved with the multichannel Wiener filter (MWF), which aims to estimate an unknown desired signal. In practice, the standard MWF (SMWF) estimates the speech component in one of the microphone signals, referred to as the reference microphone signal. Recently, a different formulation of the MWF, which uses the envelope of all acoustic transfer functions (ATFs) between the speech source and the microphones, has been presented. It has been shown that this formulation of the MWF leads to a higher broadband output SNR than the S-MWF, especially for spatially distributed microphones. In this paper, we show that all ATFs can be exploited in a more general way to derive a generalized formulation for the MWF (G-MWF). This generalized formulation can then be used to derive an alternative expression for the SMWF, where experimental results show that this alternative formulation leads to similar results as the G-MWF using the envelope of all ATFs.

[1]  S. Soli,et al.  Development of the Hearing in Noise Test for the measurement of speech reception thresholds in quiet and in noise. , 1994, The Journal of the Acoustical Society of America.

[2]  E. Habets,et al.  Generating sensor signals in isotropic noise fields. , 2007, The Journal of the Acoustical Society of America.

[3]  Simon Doclo,et al.  Reference Microphone Selection for MWF-based Noise Reduction Using Distributed Microphone Arrays , 2012, ITG Conference on Speech Communication.

[4]  Israel Cohen,et al.  Distributed Multiple Constraints Generalized Sidelobe Canceler for Fully Connected Wireless Acoustic Sensor Networks , 2013, IEEE Transactions on Audio, Speech, and Language Processing.

[5]  Marc Moonen,et al.  Reduced-Bandwidth and Distributed MWF-Based Noise Reduction Algorithms for Binaural Hearing Aids , 2009, IEEE Transactions on Audio, Speech, and Language Processing.

[6]  Marc Moonen,et al.  Distributed LCMV Beamforming in a Wireless Sensor Network With Single-Channel Per-Node Signal Transmission , 2013, IEEE Transactions on Signal Processing.

[7]  Jont B. Allen,et al.  Image method for efficiently simulating small‐room acoustics , 1976 .

[8]  Marc Moonen,et al.  Frequency-domain criterion for the speech distortion weighted multichannel Wiener filter for robust noise reduction , 2007, Speech Commun..

[9]  Marc Moonen,et al.  Acoustic Beamforming for Hearing Aid Applications , 2010 .

[10]  Jürgen Freudenberger,et al.  A multichannel Wiener filter with partial equalization for distributed microphones , 2013, 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.