Over the past decades the problem of one channel, speech enhancement has been addressed by a great deal of researchers. In this work selected methods belonging to a variety of categories are applied to denoise speech signals corrupted by non-stationary urban noise. The performance of spectral subtraction, signal subspace, model-based and Kalman filtering approaches is evaluated. Several objective measures which are designed to predict human listening tests are employed in order to reach accurate conclusions. Two series of experiments were carried out while multiband spectral subtraction along with a short-time spectral amplitude (STSA) estimator based on the minimization of the mean square error (MSE) of the log-spectra are shown to outperform the rest of the algorithms. Copyright 2008 ACM.

Objective comparison of speech enhancement algorithms under real world conditions

NTALAMPIRAS, STAVROS;
2008

Abstract

Over the past decades the problem of one channel, speech enhancement has been addressed by a great deal of researchers. In this work selected methods belonging to a variety of categories are applied to denoise speech signals corrupted by non-stationary urban noise. The performance of spectral subtraction, signal subspace, model-based and Kalman filtering approaches is evaluated. Several objective measures which are designed to predict human listening tests are employed in order to reach accurate conclusions. Two series of experiments were carried out while multiband spectral subtraction along with a short-time spectral amplitude (STSA) estimator based on the minimization of the mean square error (MSE) of the log-spectra are shown to outperform the rest of the algorithms. Copyright 2008 ACM.
1st International Conference on Pervasive Technologies Related to Assistive Environments, PETRA 2008
9781605580678
9781605580678
Kalman filtering; Model-based enhancement; Signal subspace; Spectral subtraction; Speech enhancement; Computer Science Applications1707 Computer Vision and Pattern Recognition; Software
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1004340
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