Modified condensed nearest neighbor rule as applied to speaker independent word recognition

Date

1988-12

Author

Mansur, A.
Yarman Vural, Fatoş Tunay
Yalabık, Neşe

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Edited and Condensed Nearest Neighbor Rules are used in various applications in Pattern Recognition problems. In this study, modified versions of these algorithms are applied to speaker-independent isolated word recognition to select the word templates, as opposed to the clustering techniques. It is shown that the approach improves the recognition rate when compared with clustering, with the disadvantage of being more costly.

Subject Keywords

Software, Communication, Linguistics and language, Modelling and simulation, Computer vision and pattern recognition, Language and linguistics, Computer science applications

URI

https://hdl.handle.net/11511/51781

Journal

Speech Communication

DOI

https://doi.org/10.1016/0167-6393(88)90058-1

Collections

Department of Computer Engineering, Article

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Citation Formats

A. Mansur, F. T. Yarman Vural, and N. Yalabık, “Modified condensed nearest neighbor rule as applied to speaker independent word recognition,” Speech Communication, pp. 411–415, 1988, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/51781.