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Erschienen in:
1988 | OriginalPaper | Buchkapitel
A New Approach to Template Selection for Speaker Independent Word Recognition
verfasst von : N. Yalabik, F. Yarman-Vural, A. Mansur
Erschienen in: Recent Advances in Speech Understanding and Dialog Systems
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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This study explores the possibility of using Condensed Nearest Neighbor (CNN) rule for classification in various word recognition problems. A modified version of “Condensing” combined with “Editing” algorithm is implemented to select the reference templates for a speaker independent isolated word recognition problem. It is shown that these algorithms improve the recognition rate in comparison to using clustering techniques for template selection.