Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association
Online ISSN : 2424-2586
Print ISSN : 1345-1510
ISSN-L : 1345-1510
27
Session ID : D1-2
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D1-2 A fundamental study on voice authentication and speech recognition with Self-Organizing Maps
Hiroyuki KAWAIMasahiro NAKAHAMAKazuhiro NOTOMIKeiichi SAITO
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Abstract

Recent years, speech recognition technique and voice authentication method is in progress to the field of the Internet technology. As a biometrics authentication method, our security applications with Self-Organizing Maps are currently in development. In this article, we described a method for speech recognition executed concurrently with voice authentication. And also we discussed the result of the experiment to evaluate our method with FAR (False Accept Rate) and FRR (False Reject Rate). We obtained that the best recognition accuracy of nouns is over 88% and the same of verbs is 83% in the experiment.

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© 2014 Biomedical Fuzzy Systems Association
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