DEVELOPMENTS IN SPECTRAL SUBTRACTION FOR SPEECH ENHANCEMENT

Speech enhancement aims to improve speech quality by using various techniques and algorithms. Over the past several years there has been considerable attention focused on the problem of enhancement of speech degraded by additive background noise. Background noise suppression has many applications. Using mobile in a noisy environment like in streets or in a car is an obvious application, removing the background noise when sending speech from the cockpit of an airplane to the ground or to the cabin. The spectral subtractive algorithm is historically one of the first algorithms proposed for additive background noise and it has gone through many modifications with time. This is a review paper and its objective is to provide an overview of the variety of spectral subtraction techniques that have been proposed for enhancement of speech degraded by additive background noise during past decades . Section I gives the Introduction to Speech enhancement and explain basic Spectral Subtraction technique. Section II gives the various modified versions of spectral subtraction till date.

[1]  Jont B. Allen,et al.  Short term spectral analysis, synthesis, and modification by discrete Fourier transform , 1977 .

[2]  B. Atal,et al.  Optimizing digital speech coders by exploiting masking properties of the human ear , 1978 .

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

[4]  A.V. Oppenheim,et al.  Enhancement and bandwidth compression of noisy speech , 1979, Proceedings of the IEEE.

[5]  Richard M. Schwartz,et al.  Enhancement of speech corrupted by acoustic noise , 1979, ICASSP.

[6]  Jae S. Lim,et al.  The unimportance of phase in speech enhancement , 1982 .

[7]  James D. Johnston,et al.  Transform coding of audio signals using perceptual noise criteria , 1988, IEEE J. Sel. Areas Commun..

[8]  Hugo Fastl,et al.  Psychoacoustics: Facts and Models , 1990 .

[9]  Deepen Sinha,et al.  Low bit rate transparent audio compression using adapted wavelets , 1993, IEEE Trans. Signal Process..

[10]  Nathalie Virag.  Speech enhancement based on masking properties of the auditory system , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

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

[12]  Philipos C. Loizou,et al.  A multi-band spectral subtraction method for enhancing speech corrupted by colored noise , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[13]  Doh-Suk Kim.  A cue for objective speech quality estimation in temporal envelope representations , 2004, IEEE Signal Processing Letters.

[14]  Nicholas W. D. Evans,et al.  An Assessment on the Fundamental Limitations of Spectral Subtraction , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[15]  Yi Hu,et al.  Subjective comparison and evaluation of speech enhancement algorithms , 2007, Speech Commun..

[16]  W. Bastiaan Kleijn,et al.  Noise suppression based on extending a speech-dominated modulation band , 2007, INTERSPEECH.

[17]  Kuldip K. Paliwal,et al.  Effect of Analysis Window Duration on Speech Intelligibility , 2008, IEEE Signal Processing Letters.

[18]  Yang Lu,et al.  A geometric approach to spectral subtraction , 2008, Speech Commun..

[19]  Kuldip K. Paliwal,et al.  Single-channel speech enhancement using spectral subtraction in the short-time modulation domain , 2010, Speech Commun..

[20]  Shashikant L. Sahare,et al.  Enhancement of Noisy Speech Signals for Hearing Aids , 2011, 2011 International Conference on Communication Systems and Network Technologies.