Evolutionary speech quality estimation in VoIP |
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Authors: | Adil Raja R M A Azad Colin Flanagan Conor Ryan |
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Affiliation: | (1) College of Information Technology, University of the Punjab, Lahore, Pakistan;(2) Department of Computer Science and Information Systems, University of Limerick, Limerick, Ireland;(3) Department of Electronic and Computer Engineering, University of Limerick, Limerick, Ireland |
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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. |
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