A new single-ended measure for assessment of speech quality

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes a new non-intrusive measure for objective speech quality assessment in telephony applications and evaluates its performance. The measure is based on estimating perception-based objective auditory distances between voiced parts of the degraded speech under test and an appropriately formulated artificial reference model of clean speech signals. The reference model is extracted from one or many preformulated speech reference books. The reference books are formed by optimally clustering large number of parametric speech vectors extracted from a database of clean speech signals, using an efficient K dimensional tree structure. The measured auditory distances are then mapped into objective listening quality scores. Reported evaluation results show that the proposed measure offers sufficiently accurate and low-complexity assessment method of speech quality, making it suitable for real time applications.

Original languageEnglish
Title of host publicationINTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP
PublisherInternational Speech Communication Association
Pages177-180
Number of pages4
ISBN (Print)9781604234497
Publication statusPublished - 2006
EventINTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP - Pittsburgh, PA, United States
Duration: 17 Sep 200621 Sep 2006

Publication series

NameProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Volume1
ISSN (Electronic)1990-9772

Conference

ConferenceINTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP
Country/TerritoryUnited States
CityPittsburgh, PA
Period17/09/0621/09/06

Keywords

  • Communication technologies
  • Customer services quality
  • Data analysis
  • Quality assessment

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