Single-channel speech enhancement using spectral subtraction in the short-time modulation domain

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Title Single-channel speech enhancement using spectral subtraction in the short-time modulation domain
Author Paliwal, Kuldip Kumar; Wojcicki, Kamil; Schwerin, Belinda Marie
Journal Name Speech Communication
Year Published 2010
Place of publication Netherlands
Publisher Elsevier BV
Abstract In this paper we investigate the modulation domain as an alternative to the acoustic domain for speech enhancement. More specifically, we wish to determine how competitive the modulation domain is for spectral subtraction as compared to the acoustic domain. For this purpose, we extend the traditional analysis-modification-synthesis framework to include modulation domain processing. We then compensate the noisy modulation spectrum for additive noise distortion by applying the spectral subtraction algorithm in the modulation domain. Using an objective speech quality measure as well as formal subjective listening tests, we show that the proposed method results in improved speech quality. Furthermore, the proposed method achieves better noise suppression than the MMSE method. In this study, the effect of modulation frame duration on speech quality of the proposed enhancement method is also investigated. The results indicate that modulation frame durations of 180–280 ms, provide a good compromise between different types of spectral distortions, namely musical noise and temporal slurring. Thus given a proper selection of modulation frame duration, the proposed modulation spectral subtraction does not suffer from musical noise artifacts typically associated with acoustic spectral subtraction. In order to achieve further improvements in speech quality, we also propose and investigate fusion of modulation spectral subtraction with the MMSE method. The fusion is performed in the short-time spectral domain by combining the magnitude spectra of the above speech enhancement algorithms. Subjective and objective evaluation of the speech enhancement fusion shows consistent speech quality improvements across input SNRs.
Peer Reviewed Yes
Published Yes
Alternative URI
Volume 52
Issue Number 5
Page from 450
Page to 475
ISSN 0167-6393
Date Accessioned 2011-02-25
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Signal Processing
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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