NDLI: Speech enhancement by sparse, low-rank, and dictionary spectrogram decomposition

Content Provider	IEEE Xplore Digital Library
Author	Zhuo Chen Ellis, D.P.W.
Copyright Year	2013
Abstract	Speech enhancement requires some principle by which to distinguish speech and noise, and the most successful separation requires strong models for both speech and noise. If, however, the noise encountered differs significantly from the system's assumptions, performance will suffer. In this work, we propose a novel speech enhancement system based on decomposing the spectrogram into sparse activation of a dictionary of target speech templates, and a low-rank background model, which makes few assumptions about the noise other than its limited spectral variation. A variation of this model specifically designed to handle transient noise intrusions is also proposed. Evaluation via BSS EVAL and PESQ show that the new approaches improve signal-to-distortion ratio in most cases and PESQ in high-noise conditions when compared to several traditional speech enhancement algorithms including log-MMSE.
Sponsorship	IEEE Signal Process. Soc.
Starting Page	1
Ending Page	4
File Size	308506
Page Count	4
File Format	PDF
ISBN	9781479909728
ISSN	19311168
DOI	10.1109/WASPAA.2013.6701883
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Noise Speech Speech enhancement Transient analysis Noise measurement Sparse matrices Dictionaries robust PCA speech enhancement spectrogram decomposition sparse low-rank
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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