A self-supervised vowel recognition system

Pal, S. K. ; Datta, A. K. ; Majumder, D. Dutta (1980) A self-supervised vowel recognition system Pattern Recognition, 12 (1). pp. 27-34. ISSN 0031-3203

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Official URL: http://linkinghub.elsevier.com/retrieve/pii/003132...

Related URL: http://dx.doi.org/10.1016/0031-3203(80)90051-5


The paper describes an adaptive model for computer recognition of vowel sounds with the first three formants as features. The method uses a single pattern training procedure for self-supervised learning and maximum value of fuzzy membership function is the basis of recognition. The algorithm with selected representative points and a number of guard zones which are ellipsoidal in the three-dimensional feature space around the representative vectors of the classes is taken as a supervisor. An optimum zone for self-supervised learning is found to correspond to half of the class variances beyond which the machine loses its efficiency. A comparison with a nonadaptive recognition system has also been included.

Item Type:Article
Source:Copyright of this article belongs to Elsevier Science.
Keywords:Fuzzy Membership Function; Adaptive Classification; Vowel Recognition; Self-supervisor; Optimum Guard Zone
ID Code:26118
Deposited On:06 Dec 2010 13:04
Last Modified:13 Jun 2011 06:15

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