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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Notes
Adaptive operator probabilities are discussed on page 31 of the GPLab manual.
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Raja, A., Azad, R.M.A., Flanagan, C. et al. Evolutionary speech quality estimation in VoIP. Soft Comput 15, 89–94 (2011). https://doi.org/10.1007/s00500-009-0521-2
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DOI: https://doi.org/10.1007/s00500-009-0521-2