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Low-complexity, non-intrusive speech quality assessment
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
KTH, School of Electrical Engineering (EES).
2006 (English)In: IEEE Transactions on Speech and Audio Processing., ISSN 1558-7916, Vol. 14, no 6, 1948-1956 p.Article in journal (Refereed) Published
Abstract [en]

Monitoring of speech quality in emerging heterogeneous networks is of great interest to network operators. The most efficient way to satisfy such a need is through nonintrusive, objective speech quality assessment. In this paper, we describe a low-complexity algorithm for monitoring the speech quality over a network. The features used in the proposed algorithm can be computed from commonly used speech-coding parameters. Reconstruction and perceptual transformation of the signal is not performed. The critical advantage of the approach lies in generating quality assessment ratings without explicit distortion modeling. The results from the performed experiments indicate that the proposed nonintrusive objective quality measure performs better than the ITU-T P.563 standard.

Place, publisher, year, edition, pages
2006. Vol. 14, no 6, 1948-1956 p.
Keyword [en]
nonintrusive; quality assessment; quality of service (QoS)t
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-5946DOI: 10.1109/TASL.2006.883250ISI: 000241567200007Scopus ID: 2-s2.0-37549009647OAI: oai:DiVA.org:kth-5946DiVA: diva2:10488
Note
QC 20100824Available from: 2006-06-02 Created: 2006-06-02 Last updated: 2010-12-06Bibliographically approved
In thesis
1. Human perception in speech processing
Open this publication in new window or tab >>Human perception in speech processing
2006 (English)Doctoral thesis, comprehensive summary (Other scientific)
Abstract [en]

The emergence of heterogeneous networks and the rapid increase of Voice over IP (VoIP) applications provide important opportunities for the telecommunications market. These opportunities come at the price of increased complexity in the monitoring of the quality of service (QoS) and the need for adaptation of transmission systems to the changing environmental conditions. This thesis contains three papers concerned with quality assessment and enhancement of speech communication systems in adverse environments.

In paper A, we introduce a low-complexity, non-intrusive algorithm for monitoring speech quality over the network. In the proposed algorithm, speech quality is predicted from a set of features that capture important structural information from the speech signal.

Papers B and C describe improvements in the conventional pre- and post-processing speech enhancement techniques. In paper B, we demonstrate that the causal Kalman filter implementation is in conflict with the key properties in human perception and propose solutions to the problem. In paper C, we propose adaptation of the conventional postfilter parameters to changes in the noisy conditions. A perceptually motivated distortion measure is used in the optimization of postfilter parameters. Significant improvement over nonadaptive system is obtained.

Place, publisher, year, edition, pages
Stockholm: KTH, 2006
Series
Trita-EE, ISSN 1653-5146 ; 2006:016
Keyword
quality assessment, speech enhancement, postfilter
National Category
Telecommunications
Identifiers
urn:nbn:se:kth:diva-4032 (URN)91-628-6864-0 (ISBN)
Public defence
2006-06-15, E2, Lindstedtsvägen 3, 09:00
Opponent
Supervisors
Note
QC 20100824Available from: 2006-06-02 Created: 2006-06-02 Last updated: 2010-08-24Bibliographically approved

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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
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