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- W1895023245 abstract "In this paper a method is proposed for choosing between different wavelets, and their corresponding parameters, and it is applied to TIMIT phoneme classification. The method involves the use of a Kohonen network to extract prototypes for each class. Distance measures between them are used as criteria for choosing the best wavelet. In the case of phoneme classification, a time delay neural network is used as the classifier. A high correlation is found between results of the proposed method and the classification accuracy obtained by the network." @default.
- W1895023245 created "2016-06-24" @default.
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- W1895023245 date "2002-11-23" @default.
- W1895023245 modified "2023-10-03" @default.
- W1895023245 title "A method of wavelet selection in phoneme recognition" @default.
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- W1895023245 doi "https://doi.org/10.1109/mwscas.1997.662217" @default.
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