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OBJECTIVE QUALITY ESTIMATION OF WIDE-BAND SPEECH USING A NARROW-BAND PRIOR
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
2010 (English)In: 2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING   , 2010, 4670-4673 p.Conference paper, Published paper (Refereed)
Abstract [en]

A fundamental challenge in the design of objective models for estimation of speech signal quality lies in the shortage of subjectively labelled databases. This problem is particularly relevant when developing quality assessment models for wide-band (16 kHz sampling rate) signals where databases are scarce. We explore the possibility for seamlessly integrating a quality prior in the form of a narrow-band quality estimate into the framework of a non-intrusive wide-band quality assessment algorithm. Experimental results confirm that the proposed approach can be used to improve performance over a baseline wide-band system without a narrow-band prior.

Place, publisher, year, edition, pages
2010. 4670-4673 p.
Series
nternational Conference on Acoustics Speech and Signal Processing ICASSP, ISSN 1520-6149
Keyword [en]
Non-intrusive quality assessment, Gaussian Process regression, input uncertainty
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-32259ISI: 000287096004146Scopus ID: 2-s2.0-78049355164ISBN: 978-1-4244-4296-6 (print)OAI: oai:DiVA.org:kth-32259DiVA: diva2:411365
Conference
2010 IEEE International Conference on Acoustics, Speech, and Signal Processing
Note
QC 20110418Available from: 2011-04-18 Created: 2011-04-11 Last updated: 2011-04-18Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • ieee
  • modern-language-association-8th-edition
  • vancouver
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Language
  • de-DE
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  • nn-NB
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  • Other locale
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Output format
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  • asciidoc
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