NDLI: Novel objective criteria for perceptual separation of two kinds of Distortion in speech enhancement applications

Content Provider	IEEE Xplore Digital Library
Author	Alam, M.J. O'Shaughnessy, D. Selouani, S.-A.
Copyright Year	2009
Description	Author affiliation: INRS-EMT, University of Quebec, Montreal, Canada (Alam, M.J.; O'Shaughnessy, D.) \|\| University of Moncton, campus de shippigan, NB, Canada (Selouani, S.-A.)
Abstract	There is an increasing interest in the development of robust quantitative speech quality measures that correlate well with subjective measures. This paper presents two objective criteria-the Perceptual Signal to Audible Noise Ratio (PSANR) and the Perceptual Signal to Audible Distortion Ratio (PSADR), to characterize the two kinds of degradation (i.e., residual background noise, speech distortion or both) in speech enhancement applications. For performance evaluation of speech enhancement algorithms it is necessary to determine with accuracy the kind of degradation present in the enhanced signal. Experimental results for speech enhancement using different well-known approaches depict the usefulness of the proposed objective criteria.
Starting Page	483
Ending Page	487
File Size	1451364
Page Count	5
File Format	PDF
ISBN	9781424462810
e-ISBN	9781424462841
DOI	10.1109/ICCIT.2009.5407287
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-21
Publisher Place	Bangladesh
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech analysis masking threshold Time measurement PSANDR Application software Information technology Degradation objective quality measure Speech enhancement Signal processing Distortion measurement Speech processing speech enhancement Testing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Single channel speech enhancement using temporal masking

A novel perceptual distortion minimization speech enhancement algorithm

A modified bark spectral distortion measure which uses noise masking threshold

Speech Enhancement Analysis based on Audible Distortion Criteria

Performance of the modified Bark spectral distortion as an objective speech quality measure

A short-time objective intelligibility measure for time-frequency weighted noisy speech

Comparison of two objective speech quality measures: MBSD and ITU-T Recommendation P.861

A Speech Enhancement Method Based on Signal Subspace and Hearing Masking Effect

Perceptually-motivated selective suppression of late reverberation

Novel objective criteria for perceptual separation of two kinds of Distortion in speech enhancement applications

Similar Documents

Single channel speech enhancement using temporal masking

A novel perceptual distortion minimization speech enhancement algorithm

A modified bark spectral distortion measure which uses noise masking threshold

Speech Enhancement Analysis based on Audible Distortion Criteria

Performance of the modified Bark spectral distortion as an objective speech quality measure

A short-time objective intelligibility measure for time-frequency weighted noisy speech

Comparison of two objective speech quality measures: MBSD and ITU-T Recommendation P.861

A Speech Enhancement Method Based on Signal Subspace and Hearing Masking Effect

Perceptually-motivated selective suppression of late reverberation

Novel objective criteria for perceptual separation of two kinds of Distortion in speech enhancement applications