Abstract
A Fuzzy Kohonen Network, which is capable of recognizing isolated Arabic spoken number speaker independently is described. The Fuzzy Kohonen Clustering Network (FKCN) algorithm, is based on the integration of Fuzzy C-Means (FCM) and Kohonen Clustering Network (KCN). FKCN is unsupervised, non-sequential, and uses fuzzy membership values from FCM as learning rates. Simulation results clearly indicate the superiority in recognition accuracy performance of FKCN when compared to that obtained for FCM, KCN and the conventional LBG (Linde-Buzo-Gray).
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© 1999 Springer-Verlag Wien
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Elmalek, J., Tourki, R. (1999). A Speaker Independent Arabic Isolated Spoken Digits Recognition System Using Fuzzy Kohonen Clustering Network. In: Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6384-9_20
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DOI: https://doi.org/10.1007/978-3-7091-6384-9_20
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-83364-3
Online ISBN: 978-3-7091-6384-9
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