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Pisma v Zhurnal Tekhnicheskoi Fiziki, 2016, Volume 42, Issue 16, Pages 72–78
(Mi pjtf6331)
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This article is cited in 5 scientific papers (total in 5 papers)
Speech signal filtration using double-density dual-tree complex wavelet transform
A. S. Yaseenab, O. N. Pavlovaa, A. N. Pavlovacd a Saratov State University
b University of Baghdad, Baghdad, Iraq
c Yuri Gagarin State Technical University of Saratov
d Saratov Branch, Kotel'nikov Institute of Radio-Engineering and Electronics, Russian Academy of Sciences
Abstract:
We consider the task of increasing the quality of speech signal cleaning from additive noise by means of double-density dual-tree complex wavelet transform (DDCWT) as compared to the standard method of wavelet filtration based on a multiscale analysis using discrete wavelet transform (DWT) with real basis set functions such as Daubechies wavelets. It is shown that the use of DDCWT instead of DWT provides a significant increase in the mean opinion score (MOS) rating at a high additive noise and makes it possible to reduce the number of expansion levels for the subsequent correction of wavelet coefficients.
Received: 23.03.2016
Citation:
A. S. Yaseen, O. N. Pavlova, A. N. Pavlov, “Speech signal filtration using double-density dual-tree complex wavelet transform”, Pisma v Zhurnal Tekhnicheskoi Fiziki, 42:16 (2016), 72–78; Tech. Phys. Lett., 42:8 (2016), 865–867
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https://www.mathnet.ru/eng/pjtf6331 https://www.mathnet.ru/eng/pjtf/v42/i16/p72
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Abstract page: | 33 | Full-text PDF : | 5 |
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