Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1989.07a
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- Pages.481-485
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- 1989
A study of broad board classification of korean digits using symbol processing
심볼을 이용한 한국어 숫자음의 광역 음소군 분류에 관한 연구
- Lee, Bong-Gu (Seoul Nat'l Univ. Dep. of Comp. Eng.) ;
- Lee, Guk (Seoul Nat'l Univ. Dep. of Comp. Eng.) ;
- Hhwang, Hee-Yoong (Seoul Nat'l Univ. Dep. of Comp. Eng.)
- Published : 1989.07.21
Abstract
The object of this parer is on the design of an broad board classifier for connected. Korean digit. Many approaches have been applied in speech recognition systems: parametric vector quantization, dynamic programming and hiden Markov model. In the 80's the neural network method, which is expected to solve complex speech recognition problems, came bach. We have chosen the rule based system for our model. The phoneme-groups that we wish to classify are vowel_like, plosive_like fricative_like, and stop_like.The data used are 1380 connected digits spoken by three untrained male speakers. We have seen 91.5% classification rate.
Keywords