Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1988.07a
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- Pages.7-9
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- 1988
Isolated Words Recognition using K-means iteration without Initialization
초기화하지 않은 K-means iteration을 이용한 고립단어 인식
- Kim, Jin-Young (Dept. of Eletronics, Seoul National University) ;
- Sung, Keong-Mo (Dept. of Eletronics, Seoul National University)
- Published : 1988.07.01
Abstract
K-means iteration method is generally used for creating the templates in speaker-independent isolated-word recognition system. In this paper the initialization method of initial centers is proposed. The concepts are sorting and trace segmentation. All the tokens are sorted and segmented by trace segmentation so that initial centers are decided. The performance of this method is evaluated by isolated-word recognition of Korean digits. The highest recognition rate is 97.6%.
Keywords