An Evolutionary Approach to Speech Quality Estimation

Created by W.Langdon from gp-bibliography.bib Revision:1.4504

  author =       "A. Raja and R. M. A. Azad and C. Flanagan and 
                 C. Ryan",
  title =        "An Evolutionary Approach to Speech Quality
  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
  notes =        "Dept. of ECE, Limerick Univ., Limerick",

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