Abstract
In the present work, two trained classifiers in Neural Networks, specifically the Hopfield network and the Hamming network, were applied to a problem in speech recognition and the results were compared. The problem is that of the automatic recognition of the five Spanish vowels in a multi-speaker environment. There is thus a twofold purpose to the present note: to give an application of two NN algorithms and to give two different, although similar, methods for recognizing those vowels.
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