Subband dereverberation algorithm for noisy environments

In hands-free voice applications (including voice communication and voice recognition), the captured signal is severely degraded by reverberation when a talker is further away from the microphone. Reverberation significantly degrades speech quality and speech recognition accuracy. As a result, it is necessary to suppress reverberation. Spectral subtraction based approach has been used for reverberation reduction. In this paper, an efficient subband de-reverberation approach based on spectral subtraction is proposed. The Algorithm is able to effectively reduce reverberation in noisy environments while maintaining low complexity and low signal distortion level.

[1]  Michael S. Brandstein,et al.  A robust method for speech signal time-delay estimation in reverberant rooms , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[2]  Gilbert A. Soulodre,et al.  About This Dereverberation Business: A Method for Extracting Reverberation from Audio Signals , 2010 .

[3]  Robert F. Kubichek,et al.  Standards and technology issues in objective voice quality assessment , 1991, Digit. Signal Process..

[4]  J. Polack La transmission de l'energie sonore dans les salles , 1988 .

[5]  E. Lehmann,et al.  Prediction of energy decay in room impulse responses simulated with an image-source model. , 2008, The Journal of the Acoustical Society of America.

[6]  Jont B. Allen,et al.  Multimicrophone signal‐processing technique to remove room reverberation from speech signals , 1977 .

[7]  E.A.P. Habets Experimental Results of a Multi-Channel speech Dereverberation algorithm based on a statistical Model of Late Reverberation , 2005 .

[8]  Christof Faller,et al.  Perceptually Motivated Gain Filter Smoothing for Noise Suppression , 2007 .

[9]  S. Boll,et al.  Suppression of acoustic noise in speech using spectral subtraction , 1979 .

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

[11]  Tomohiro Nakatani,et al.  Suppression of Late Reverberation Effect on Speech Signal Using Long-Term Multiple-step Linear Prediction , 2009, IEEE Transactions on Audio, Speech, and Language Processing.

[12]  E. Lindemann Two microphone nonlinear frequency domain beamformer for hearing aid noise reduction , 1995, Proceedings of 1995 Workshop on Applications of Signal Processing to Audio and Accoustics.

[13]  J.-M. Boucher,et al.  A New Method Based on Spectral Subtraction for Speech Dereverberation , 2001 .