An effective microphone array post-filter in arbitrary environments

The theoretic foundation of traditional microphone array postfilters is the signal model in which the noise between sensors is assumed to be uncorrelated. However, this model is inaccurate in real environments since the correlated noise exists. In this paper, a more generalized signal model which considers both the correlated and uncorrelated noise is introduced. A general expression of the microphone array post-filter is proposed for this model. For better residual noise shaping, the human auditory property is incorporated into the post-filter estimation process. In experiments with real noise microphone array recordings, the proposed technique has shown to produce impressive results in terms of quality measures of the enhanced speech.

[1]  Hervé Bourlard,et al.  Microphone array post-filter based on noise field coherence , 2003, IEEE Trans. Speech Audio Process..

[2]  Preeti Rao,et al.  Speech enhancement in nonstationary noise environments using noise properties , 2006, Speech Commun..

[3]  Henry Cox,et al.  Robust adaptive beamforming , 2005, IEEE Trans. Acoust. Speech Signal Process..

[4]  R. Zelinski,et al.  A microphone array with adaptive post-filtering for noise reduction in reverberant rooms , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

[5]  E. Zwicker,et al.  Analytical expressions for critical‐band rate and critical bandwidth as a function of frequency , 1980 .

[6]  Petros Maragos,et al.  A generalized estimation approach for linear and nonlinear microphone array post-filters , 2007, Speech Commun..

[7]  Nathalie Virag,et al.  Single channel speech enhancement based on masking properties of the human auditory system , 1999, IEEE Trans. Speech Audio Process..

[8]  Silviu Ciochina,et al.  An improved spectral subtraction method for speech enhancement using a perceptual weighting filter , 2008, Digit. Signal Process..

[9]  Benoît Champagne,et al.  Incorporating the human hearing properties in the signal subspace approach for speech enhancement , 2003, IEEE Trans. Speech Audio Process..

[10]  Joerg Bitzer,et al.  Post-Filtering Techniques , 2001, Microphone Arrays.

[11]  Yannick Mahieux,et al.  Analysis of noise reduction and dereverberation techniques based on microphone arrays with postfiltering , 1998, IEEE Trans. Speech Audio Process..