Evolutionary speech quality estimation in VoIP

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Raja:2010:SC,
  author =       "Adil Raja and R. Muhammad Atif Azad and 
                 Colin Flanagan and Conor Ryan",
  title =        "Evolutionary speech quality estimation in {VoIP}",
  journal =      "Soft Computing - A Fusion of Foundations,
                 Methodologies and Applications",
  year =         "2011",
  volume =       "15",
  number =       "1",
  pages =        "89--94",
  note =         "Special issue on Bio-inspired Learning and Intelligent
                 Systems",
  keywords =     "genetic algorithms, genetic programming, VoIP, linear
                 scaling, PESQ, real time",
  ISSN =         "1432-7643",
  URL =          "http://www.springerlink.com/content/t4152qr567740000/",
  DOI =          "doi:10.1007/s00500-009-0521-2",
  size =         "6 pages",
  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.",
  notes =        "Nortel Networks",
}

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

Citations