An Evolutionary Approach to Speech Quality Estimation

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{Raja:2007:FBIT,

• author = "A. Raja and R. M. A. Azad and C. Flanagan and C. Ryan",
• title = "An Evolutionary Approach to Speech Quality Estimation",
• booktitle = "Proceedings of the 2007 International Conference Frontiers in the Convergence of Bioscience and Information Technologies (FBIT 2007)",
• year = "2007",
• pages = "757--760",
• address = "Jeju Island, Korea",
• month = oct # " 11-13",
• publisher = "IEEE Press",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-0-7695-2999-8",
• DOI = "doi:10.1109/FBIT.2007.98",
• abstract = "In this paper we have employed a genetic programming (GP) based symbolic regression approach to estimate the speech quality as a function of impairments due to IP network and low bitrate coding. A main advantage of GP is that it can produce human-readable results in the form of analytical expressions. Moreover, GP is capable of weeding out irrelevant parameters and concentrating on the most salient ones. These features of GP make our results superior to the past research based on Artificial Neural Networks (ANNs) by Sun and Mohamed et. al. and on lookup tables by Hoene et. al. We have used PESQ as a reference for evolutionary modelling. The results of proposed models show a high correlation with PESQ. Moreover, our models are suitable for real-time and non-intrusive estimation of VoIP quality.",
• notes = "Dept. of ECE, Limerick Univ., Limerick",

}

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

Citations