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A methodology for improving PESQ accuracy for Chinese speech

Chong, Fong Loong and McLoughlin, Ian Vince and Pawlikowski, Krzysztof (2005) A methodology for improving PESQ accuracy for Chinese speech. In: TENCON 2005 - 2005 IEEE Region 10 Conference. IEEE, pp. 1-6. ISBN 0-7803-9311-2. (doi:10.1109/TENCON.2005.301105) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1109/TENCON.2005.301105

Abstract

Unlike English and most other European languages, Mandarin Chinese has two unique characteristics, the consonant-vowel-consonant (CVC) phonetic structure and use of tones, which may affect its intelligibility after processing by sound processing systems. Due to this, the perceptual evaluation of speech quality (PESQ) objective speech quality measurement system, which has been proven effective in measuring the speech quality of sound processing systems processing English or some other languages, may not accurately measure speech quality of systems processing Chinese speech. An evaluation was thus performed with PESQ to investigate whether intelligibility related problems that arise from the two characteristics are being considered in the computation of speech quality. Our evaluation reveals that PESQ indeed does not consider them through low correlation between subjective intelligibility and PESQ scores. A method known as consonant amplification was proposed to improve correlation results for Chinese speech, and this method is evaluated with PESQ.

Item Type: Book section
DOI/Identification number: 10.1109/TENCON.2005.301105
Additional information: Unmapped bibliographic data: Y1 - 2005/// [EPrints field already has value set]
Uncontrolled keywords: speech analysis; speech processing; natural languages; degradation; virtual colonoscopy; computer science; software engineering; performance evaulation; system testing; humans
Subjects: T Technology
Divisions: Faculties > Sciences > School of Computing
Depositing User: Ian McLoughlin
Date Deposited: 04 Sep 2015 13:26 UTC
Last Modified: 06 Aug 2019 08:39 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/48792 (The current URI for this page, for reference purposes)
McLoughlin, Ian Vince: https://orcid.org/0000-0001-7111-2008
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