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Genetic Programming for Robust Text Independent Speaker Verification

Genetic Programming for Robust Text Independent Speaker Verification

Peter Day, Asoke K. Nandi
Copyright: © 2012 |Volume: 2 |Issue: 2 |Pages: 22
ISSN: 2155-5028|EISSN: 2155-5036|EISBN13: 9781466614062|DOI: 10.4018/ijsss.2012070101
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MLA

Day, Peter, and Asoke K. Nandi. "Genetic Programming for Robust Text Independent Speaker Verification." IJSSS vol.2, no.2 2012: pp.1-22. http://doi.org/10.4018/ijsss.2012070101

APA

Day, P. & Nandi, A. K. (2012). Genetic Programming for Robust Text Independent Speaker Verification. International Journal of Signs and Semiotic Systems (IJSSS), 2(2), 1-22. http://doi.org/10.4018/ijsss.2012070101

Chicago

Day, Peter, and Asoke K. Nandi. "Genetic Programming for Robust Text Independent Speaker Verification," International Journal of Signs and Semiotic Systems (IJSSS) 2, no.2: 1-22. http://doi.org/10.4018/ijsss.2012070101

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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 article 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.

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