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Output-based objective measure for non-intrusive speech quality evaluation

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Show simple item record Mahdi, Abdulhussain E. Picovici, Dorel 2016-07-14T12:38:04Z 2016-07-14T12:38:04Z 2004
dc.description peer-reviewed en_US
dc.description.abstract This paper describes a newly developed output-based method for non-intrusive evaluation of speech quality of voice communication systems, and evaluates its performance. The method, which uses only the output of the system, is based on measuring perceptually motivated objective auditory distances between the voiced parts of the speech signal whose quality to be evaluated to appropriately matching reference vectors extracted from a pre-formulated codebook. The codebook is formed by optimally clustering large number of perceptually-based parametric vectors extracted from a database of clean speech signals. The auditory distance measures are then mapped into equivalent subjective score, represented by the Mean Opinion scores (MOS), using regression. The required clustering and matching processes are achieved by using an efficient neural network based data mining technique known as the Self-Organizing Map. Perceptual, speaker-independent parametric representation of the speech is achieved by using Linear Prediction (PLP) and Bark Spectrum analysis. Reported evaluation results show that the proposed system is robust against speaker, utterance and distortion variations, and outperforms the ITU-T P.862 Perceptual Evaluation of Speech Quality (PESQ) for cases of speech degraded by channel impairments. en_US
dc.language.iso eng en_US
dc.publisher World Scientific and Engineering Academy and Society (WSEAS) en_US
dc.relation.ispartofseries WSEAS Transactions on Acoustics and Music: 1 (3), pp. 139-144.
dc.subject speech processing en_US
dc.subject objective speech quality assessment en_US
dc.subject quality of service en_US
dc.subject neural networks en_US
dc.title Output-based objective measure for non-intrusive speech quality evaluation en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US 2016-07-14T12:33:30Z
dc.description.version PUBLISHED
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US
dc.internal.rssid 1119985
dc.internal.copyrightchecked Yes
dc.description.status peer-reviewed

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