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Individual On-Line Variance Adaptation of Frequency Filtered Parameters for Robust ASR
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
2006 (English)In: INTERSPEECH 2006 AND 9TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING, VOLS 1-5, 2006, 1491-1494 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we address the problem of robust speech recognition. We propose a new method based on the individual variance adaptation of frequency filtered parameters to reduce the deleterious effects of additive narrow-band noise. The method can be interpreted as a spectral weighting that assigns increased importance to the most reliable spectral components, typically the spectral peaks. The experiments confirm that the suggested method results in significantly improved recognition rates for additive narrow-band noise.

Place, publisher, year, edition, pages
2006. 1491-1494 p.
Keyword [en]
additive noise ASR, frequency filtered parameters, spectral subtraction, model variance adaptation, spectral weighting
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-36102ISI: 000269965901110Scopus ID: 2-s2.0-44949144177ISBN: 978-1-60423-449-7 (print)OAI: oai:DiVA.org:kth-36102DiVA: diva2:430584
Conference
9th International Conference on Spoken Language Processing/INTERSPEECH 2006 Pittsburgh, PA, 2006
Note
QC 20110711Available from: 2011-07-11 Created: 2011-07-08 Last updated: 2011-07-11Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • asciidoc
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