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Noise robust integration for blind and non-blind reverberation time estimation
KTH, School of Electrical Engineering (EES), Signal Processing.ORCID iD: 0000-0003-3439-0468
KTH, School of Electrical Engineering (EES), Signal Processing.ORCID iD: 0000-0002-2718-0262
2015 (English)In: Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on, IEEE Signal Processing Society, 2015, 56-60 p.Conference paper, Published paper (Refereed)
Abstract [en]

The estimation of the decay rate of a signal section is an integral component of both blind and non-blind reverberation time estimation methods. Several decay rate estimators have previously been proposed, based on, e.g., linear regression and maximum-likelihood estimation. Unfortunately, most approaches are sensitive to background noise, and/or are fairly demanding in terms of computational complexity. This paper presents a low complexity decay rate estimator, robust to stationary noise, for reverberation time estimation. Simulations using artificial signals, and experiments with speech in ventilation noise, demonstrate the performance and noise robustness of the proposed method.

Place, publisher, year, edition, pages
IEEE Signal Processing Society, 2015. 56-60 p.
Keyword [en]
Reverberation time estimation, blind estimation, decay rate estimation, backward integration
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-165044DOI: 10.1109/ICASSP.2015.7177931ISI: 000368452400012Scopus ID: 2-s2.0-84946023741OAI: oai:DiVA.org:kth-165044DiVA: diva2:806854
Conference
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, April 19-24, 2015
Note

QC 20150811. QC 20160216

Available from: 2015-04-22 Created: 2015-04-22 Last updated: 2016-02-16Bibliographically approved

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Schüldt, ChristianHändel, Peter

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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
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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