Speech Recognition Using Fuzzy Second-Order Recurrent Neural Networks

Authors:
A. Blanco;M. Delgado;Marial del Carmen Pegalajar Jiménez;Ignacio Requena
Affiliations:
-;-;-;-
Venue:
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
Year:
2001

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Abstract

The use of Recurrent Neural Networks is not so widely extended as Feedforward Neural Networks. In recent years, these neural networks are being very studied and they are giving better results than feedforward neural networks in problems related on control, pattern recognition, etc.In this paper, we present a neural model for speech recognition, whose main characteristic is the little number of neurons that uses and the good results that obtains.