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A Bayesian Approach to Non-Intrusive Quality Assessment of Speech
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
2009 (English)In: INTERSPEECH 2009: 10TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2009, BAIXAS: ISCA-INST SPEECH COMMUNICATION ASSOC , 2009, 2875-2878 p.Conference paper, Published paper (Refereed)
Abstract [en]

A Bayesian approach to non-intrusive quality assessment of narrow-band speech is presented. The speech features used to assess quality are the sample mean and variance of band-powers evaluated from the temporal envelope in the channels of an auditory filter-bank. Bayesian multivariate adaptive regression splines (BMARS) is used to map features into quality ratings. The proposed combination of features and regression method leads to a high performance quality assessment algorithm that learns efficiently from a small amount of training data and avoids overfitting. Use of the Bayesian approach also allows the derivation of credible intervals on the model predictions, which provide a quantitative measure of model confidence and can be used to identify the need for complementing the training databases.

Place, publisher, year, edition, pages
BAIXAS: ISCA-INST SPEECH COMMUNICATION ASSOC , 2009. 2875-2878 p.
Keyword [en]
non-intrusive quality assessment, modulation spectrum, Bayesian MARS
National Category
Computer and Information Science General Language Studies and Linguistics
Identifiers
URN: urn:nbn:se:kth:diva-29888ISI: 000276842801251Scopus ID: 2-s2.0-70450209993OAI: oai:DiVA.org:kth-29888DiVA: diva2:399017
Conference
10th INTERSPEECH 2009 Conference, Brighton, ENGLAND, SEP 06-10, 2009
Note
QC 20110221Available from: 2011-02-21 Created: 2011-02-17 Last updated: 2011-02-21Bibliographically approved

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Petkov, Petko N.Kleijn, W. Bastiaan
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf