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Distortion measures for vector quantization of noisy spectrum
KTH, Superseded Departments, Signals, Sensors and Systems.
KTH, Superseded Departments, Signals, Sensors and Systems.
KTH, Superseded Departments, Signals, Sensors and Systems.
2005 (English)In: Eur. Conf. Speech Commun. Technol., 2005, 3173-3176 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we address the problem of vector quantization of speech in a noisy environment. We show that the performance of a vector quantization system can be improved by adapting the distortion measure to the changing environmental conditions. The proposed method emphasizes the distortion in spectral regions where the speech signal dominates. The method functions well even when conventional pre-processor methods fail because the noise statistics cannot be estimated reliably from speech pauses (as, e.g., in tandeming operations). Objective tests confirm that the use of environmentally adaptive measures significantly improves estimation accuracy in noisy speech, while preserving the quality in the case of clean input.

Place, publisher, year, edition, pages
2005. 3173-3176 p.
Series
9th European Conference on Speech Communication and Technology
Keyword [en]
Noise abatement, Parameter estimation, Quality of service, Signal processing, Vector quantization, Estimation accuracy, Noisy spectrum, Speech pauses, Speech signal, Speech recognition
National Category
Communication Studies
Identifiers
URN: urn:nbn:se:kth:diva-156515Scopus ID: 2-s2.0-33745197746OAI: oai:DiVA.org:kth-156515DiVA: diva2:767343
Conference
9th European Conference on Speech Communication and Technology, 4-8 September 2005, Lisbon, Portugal
Note

QC 20141201

Available from: 2014-12-01 Created: 2014-11-28 Last updated: 2015-10-29Bibliographically approved

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Grancharov, VolodyaSamuelsson, JonasBastiaan Kleijn, W.
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CiteExportLink to record
Permanent link

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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