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Soft Computing

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01.01.2011 | Focus

Evolutionary speech quality estimation in VoIP

verfasst von: Adil Raja, R. M. A. Azad, Colin Flanagan, Conor Ryan

Erschienen in: Soft Computing | Ausgabe 1/2011

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Abstract

Estimating the quality of Voice over Internet Protocol (VoIP) as perceived by humans is considered a formidable task. This is partly due to the relatively large number of variables that are involved as determinants of quality. Moreover, discerning the significance of one variable over the other is difficult. In this paper a novel approach based on genetic programming (GP) is presented. It maps the effect of network traffic parameters on listeners’ perception of speech quality. The ITU-T Recommendation P.862 (PESQ) algorithm is used as a reference model in this research. The GP discovered models that provide effective VoIP quality estimation are highly correlated to ITU-T Recommendation P.862 (PESQ). They also outperform the ITU-T Recommendation P.563 in estimating the effect that packet loss has on speech quality. The GP discovered models prove suited to real-time and in vivo evaluation of VoIP calls. Additionally, they are deployable on a wide variety of hardware platforms.

Vorheriger Artikel Engineering presentation of the stochastic interpolation framework and its applications

Nächster Artikel A destructive evolutionary algorithm process

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Titel: Evolutionary speech quality estimation in VoIP
verfasst von: Adil Raja
R. M. A. Azad
Colin Flanagan
Conor Ryan
Publikationsdatum: 01.01.2011
Verlag: Springer-Verlag
Erschienen in: Soft Computing / Ausgabe 1/2011
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-009-0521-2

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