A Methodology for Deriving VoIP Equipment Impairment Factors for a Mixed NB/WB Context

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@Article{Raja:2008:ieeetMM,

• author = "A. Raja and R. M. A. Azad and C. Flanagan and C. Ryan",
• title = "A Methodology for Deriving VoIP Equipment Impairment Factors for a Mixed NB/WB Context",
• journal = "IEEE Transactions on Multimedia",
• year = "2008",
• volume = "10",
• number = "6",
• pages = "1046--1058",
• month = oct,
• keywords = "genetic algorithms, genetic programming, PESQ-WB",
• ISSN = "1520-9210",
• DOI = "doi:10.1109/TMM.2008.2001359",
• abstract = "This paper proposes a novel approach to quantifying the quality degradation of Voice over IP (VoIP) telephony in the presence of codec and network-related impairments. This approach differs from the basic ITU-T E-Model for VoIP quality estimation in that it addresses mixed narrowband/wideband scenarios. It makes novel use of instrumental models and symbolic regression via Genetic Programming (GP) to enable the evolution of degradation models from a modest set of initial parameters. Here, a two-step approach has been used. First, values of impairment factors are derived using WB-PESQ as a reference model. Secondly, a GP based symbolic regression approach has been used to automatically evolve the functional form of equipment impairment factors from a set of variables. Very few a priori assumptions are made about the model structure. The effectiveness of the approach is demonstrated by a number of generated models which compare favorably with WB-PESQ and outperform the traditional E-Model in terms of prediction accuracy when compared using WB-PESQ. A significant advantage of the approach is that new models are easily generated to account for continuing evolution of the VoIP standards.",
• notes = "Also known as \cite{4637891}",

}

Genetic Programming entries for Adil Raja R Muhammad Atif Azad Colin Flanagan Conor Ryan

Citations