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Please use this identifier to cite or link to this item: http://scholars.ntou.edu.tw/handle/123456789/17076
Title: Adaptive spatiotemporal neural network for speech recognition
Authors: Jung-Hua Wang 
Jia-Hon Lin
Issue Date: Nov-1995
Publisher: IEEE
Conference: Proceedings of ICNN'95 - International Conference on Neural Networks
Perth, WA, Australia
Abstract: 
An adaptive spatiotemporal neural network (ASTNN) capable of performing a near Bayesian speech recognizer is proposed. A tuning algorithm is introduced in the ASTNN to adjust the threshold parameters in order to maximize the discrimination distance between competing patterns. The highly confusable English E-set (b, c, d, e, g, p, t, v, z) is used to demonstrate the efficiency of the ASTNN. We show that the recognition rate can reach 80% for single-speaker and 68% for multispeaker respectively.
URI: http://scholars.ntou.edu.tw/handle/123456789/17076
DOI: 10.1109/ICNN.1995.488191
Appears in Collections:電機工程學系

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