Genetic Programming for Robust Text Independent Speaker Verification

Created by W.Langdon from gp-bibliography.bib Revision:1.4340

  author =       "Peter Day and Asoke Nandi",
  title =        "Genetic Programming for Robust Text Independent
                 Speaker Verification",
  booktitle =    "Nature-Inspired Informatics for Intelligent
                 Applications and Knowledge Discovery: Implications in
                 Business, Science, and Engineering",
  publisher =    "IGI Global",
  year =         "2010",
  editor =       "Raymond Chiong",
  pages =        "259--280",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "1605667056",
  URL =          "",
  DOI =          "doi:10.4018/978-1-60566-705-8",
  abstract =     "Robust Automatic Speaker Verification has become
                 increasingly desirable in recent years with the growing
                 trend toward remote security verification procedures
                 for telephone banking, bio-metric security measures and
                 similar applications. While many approaches have been
                 applied to this problem, Genetic Programming offers
                 inherent feature selection and solutions that can be
                 meaningfully analyzed, making it well suited for this
                 task. This chapter introduces a Genetic Programming
                 system to evolve programs capable of speaker
                 verification and evaluates its performance with the
                 publicly available TIMIT corpora. Also presented are
                 the effects of a simulated telephone network on
                 classification results which highlight the principal
                 advantage, namely robustness to both additive and
                 convolutive noise.",
  notes =        "",

Genetic Programming entries for Peter Day Asoke K Nandi