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HMM-based speech enhancement using explicit gain modeling
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
2006 (English)In: 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, 2006, 161-164 p.Conference paper, Published paper (Refereed)
Abstract [en]

We propose a hidden Markov model (HMM) based speech enhancement method using explicit modeling of speech and noise gains. The gains are considered to be stochastic variables in an HMM framework. The speech gain models the energy variations of speech phones, typically due to differences in pronunciation and/or different vocalizations of individual speakers. The noise gain helps to improve the tracking of the time-varying energy of non-stationary noise. The time-varying parameters of the gain models are estimated on-line using the recursive expectation maximization (EM) algorithm. The performance of the proposed enhancement system is evaluated through both objective and subjective tests. The experimental results confirm the advantage of explicit gain modeling, particularly for non-stationary noise sources.

Place, publisher, year, edition, pages
2006. 161-164 p.
Series
International Conference on Acoustics Speech and Signal Processing (ICASSP), ISSN 1520-6149
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-36125DOI: 10.1109/ICASSP.2006.1659982ISI: 000245559900041Scopus ID: 2-s2.0-33947706834OAI: oai:DiVA.org:kth-36125DiVA: diva2:430534
Conference
31st IEEE International Conference on Acoustics, Speech and Signal Processing Toulouse, FRANCE, MAY 14-19, 2006
Note
QC 20110711Available from: 2011-07-11 Created: 2011-07-08 Last updated: 2011-10-07Bibliographically approved

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CiteExportLink to record
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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