Single channel speech enhancement using MMSE estimation of short-time modulation magnitude spectrum

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Author(s)
Paliwal, K
Schwerin, B
Wójcicki, K
Year published
2011
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In this paper we investigate the enhancement of speech by applying MMSE short-time spectral magnitude estimation in the modulation domain. For this purpose, the traditional analysismodification- synthesis framework is extended to include modulation domain processing. We compensate the noisy modulation spectrum for additive noise distortion by applying the MMSE short-time spectral magnitude estimation algorithm in the modulation domain. Subjective experiments were conducted to compare the quality of stimuli processed by the MMSE modulation magnitude estimator to those processed using the MMSE acoustic magnitude ...
View more >In this paper we investigate the enhancement of speech by applying MMSE short-time spectral magnitude estimation in the modulation domain. For this purpose, the traditional analysismodification- synthesis framework is extended to include modulation domain processing. We compensate the noisy modulation spectrum for additive noise distortion by applying the MMSE short-time spectral magnitude estimation algorithm in the modulation domain. Subjective experiments were conducted to compare the quality of stimuli processed by the MMSE modulation magnitude estimator to those processed using the MMSE acoustic magnitude estimator and the modulation spectral subtraction method. The proposed method is shown to have better noise suppression than MMSE acoustic magnitude estimation, and improved speech quality compared to modulation domain spectral subtraction.
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View more >In this paper we investigate the enhancement of speech by applying MMSE short-time spectral magnitude estimation in the modulation domain. For this purpose, the traditional analysismodification- synthesis framework is extended to include modulation domain processing. We compensate the noisy modulation spectrum for additive noise distortion by applying the MMSE short-time spectral magnitude estimation algorithm in the modulation domain. Subjective experiments were conducted to compare the quality of stimuli processed by the MMSE modulation magnitude estimator to those processed using the MMSE acoustic magnitude estimator and the modulation spectral subtraction method. The proposed method is shown to have better noise suppression than MMSE acoustic magnitude estimation, and improved speech quality compared to modulation domain spectral subtraction.
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Conference Title
Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
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Copyright Statement
© 2011 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
Artificial intelligence not elsewhere classified