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- W1768370474 abstract "This paper investigates the design of a filter bank model by the discriminative feature extraction method (DFE). A filter bank-based feature extractor is optimized with the classifier's parameters for the minimization of the errors occurring at the back-end classification process. The framework of minimum classification error/generalized probabilistic descent method (MCE/GPD) is used as the basis for optimization. The method is first tested in a vowel recognition task. Analysis of the process shows how DFE extracts those parts of the spectrum that are relevant to discrimination. Then the method is applied to a multi-speaker word recognition system intended to act as telephone directory assistance operator." @default.
- W1768370474 created "2016-06-24" @default.
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- W1768370474 date "2002-12-24" @default.
- W1768370474 modified "2023-09-27" @default.
- W1768370474 title "Discriminative feature extraction application to filter bank design" @default.
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- W1768370474 doi "https://doi.org/10.1109/nnsp.1996.548357" @default.
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