A parametric formulation of the generalized spectral subtraction method

In this paper, two short-time spectral amplitude estimators of the speech signal are derived based on a parametric formulation of the original generalized spectral subtraction method. The objective is to improve the noise suppression performance of the original method while maintaining its computati...

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Bibliographic Details
Published in:IEEE transactions on speech and audio processing 1998-07, Vol.6 (4), p.328-337
Main Authors: Boh Lim Sim, Yit Chow Tong, Chang, J.S., Chin Tuan Tan
Format: Article
Language:English
Subjects:
Acoustic noise
Amplitude estimation
Applied sciences
Automatic speech recognition
Constraint optimization
Exact sciences and technology
Gaussian noise
Information, signal and communications theory
Noise level
Noise reduction
Signal processing
Speech enhancement
Speech processing
Telecommunications and information theory
Testing
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Summary:In this paper, two short-time spectral amplitude estimators of the speech signal are derived based on a parametric formulation of the original generalized spectral subtraction method. The objective is to improve the noise suppression performance of the original method while maintaining its computational simplicity. The proposed parametric formulation describes the original method and several of its modifications. Based on the formulation, the speech spectral amplitude estimator is derived and optimized by minimizing the mean-square error (MSE) of the speech spectrum. With a constraint imposed on the parameters inherent in the formulation, a second estimator is also derived and optimized. The two estimators are different from those derived in most modified spectral subtraction methods, which are predominantly nonstatistical. When tested under stationary white Gaussian noise and semistationary Jeep noise, they showed improved noise suppression results.
ISSN:1063-6676
1558-2353
DOI:10.1109/89.701361