Abstract
This article presents a new type of a fuzzy classifier applied to speaker verification. Obtained decision function is nonlinear. Achieved verification accuracy is compared with classical techniques like Gaussian mixture models and vector quantization. Polish speech corpora ROBOT was applied as a training and testing set. Obtained results are discussed.
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References
Adamczyk, B., Adamczyk, K., Trawiński, K.: Zasób mowy ROBOT. Biuletyn Instytutu Automatyki i Robotyki WAT 12, 179–192 (2000)
Czogała, E., Łęski, J.: Fuzzy and neuro-fuzzy intelligent systems. Physica-Verlag, Heidelberg (2000)
Łęski, J.: A fuzzy if-then rule based nonlinear classifier. International Journal of Applied Mathematics and Computer Science 13(2), 215–223 (2003)
Martin, A., Doddington, G., Kamm, T., Ordowski, M., Przybocki, M.: The DET curve in assesment of detection task performance. In: Proceedings of the 5th European Conference on Speech Communication and Technology, Rhodes, Greece, pp. 1895–1898 (1997)
Rabiner, L.R., Juang, B.H.: Fundamentals of speech recognition. Prentice-Hall, Englewood Cliffs (1993)
Reynolds, D.A.: Speaker identification and verification using Gaussian mixture speaker models. Speech Communication 17(1-2), 91–108 (1995)
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© 2009 Springer-Verlag Berlin Heidelberg
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Dustor, A. (2009). Speaker Verification Based on Fuzzy Classifier. In: Cyran, K.A., Kozielski, S., Peters, J.F., Stańczyk, U., Wakulicz-Deja, A. (eds) Man-Machine Interactions. Advances in Intelligent and Soft Computing, vol 59. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00563-3_41
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DOI: https://doi.org/10.1007/978-3-642-00563-3_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-00562-6
Online ISBN: 978-3-642-00563-3
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