Modulation Domain Spectral Subtraction for Speech Enhancement
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Author(s)
Paliwal, K
Schwerin, B
Wójcicki, K
Year published
2009
Metadata
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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 subjective listening tests and objective speech quality evaluation we show that ...
View more >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 subjective listening tests and objective speech quality evaluation we show that the proposed method results in improved speech quality. Furthermore, applying spectral subtraction in the modulation domain does not introduce the musical noise artifacts that are typically present after acoustic domain spectral subtraction. The proposed method also achieves better background noise reduction than the MMSE method. Index Terms: speech enhancement, spectral subtraction, modulation domain, analysis-modification-synthesis (AMS)
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View more >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 subjective listening tests and objective speech quality evaluation we show that the proposed method results in improved speech quality. Furthermore, applying spectral subtraction in the modulation domain does not introduce the musical noise artifacts that are typically present after acoustic domain spectral subtraction. The proposed method also achieves better background noise reduction than the MMSE method. Index Terms: speech enhancement, spectral subtraction, modulation domain, analysis-modification-synthesis (AMS)
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Conference Title
Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Copyright Statement
© 2009 ISCA and the Authors. The attached file is reproduced here in accordance with the copyright policy of the publisher. For information about this conference please refer to the conference’s website or contact the authors.
Subject
Signal processing