NDLI: Musical noise suppression for speech enhancement using pre-image iterations

Content Provider	IEEE Xplore Digital Library
Author	Leitner, C. Pernkopf, F.
Copyright Year	2012
Description	Author affiliation: Signal Processing and Speech Communication Laboratory, Graz University of Technology, Inffeldgasse 16c, 8010, Austria (Leitner, C.; Pernkopf, F.)
Abstract	In this paper, we propose a method for musical noise suppression in enhanced speech recordings. This method uses the number of iterations needed to compute the so-called pre-images for patches from complex-valued spectral data of the noisy signal. From the number of iterations a continuous mask can be derived which discriminates between speech and non-speech regions. This mask is applied to suppress musical noise that is most disturbing in non-speech regions. Compared to the original enhanced recording the performance in terms of objective quality measures slightly decreases, but the subjectively perceived quality is better, as the musical noise can be significantly reduced.
Starting Page	464
Ending Page	467
File Size	793401
Page Count	4
File Format	PDF
ISBN	9781457721915
ISSN	21578672
e-ISBN	9783200023284
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-11
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Telecommunica
Subject Keyword	musical noise suppression Speech enhancement Speech pre-image problem Noise measurement Kernel Signal to noise ratio Principal component analysis
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Musical noise suppression for speech enhancement using pre-image iterations