Title :
A vowel recognition using adjusted fuzzy membership functions
Author :
Choi, Sung-Soon ; Oh, Kyung-Whan
Author_Institution :
Dept. of Comput. Sci., SoGang Univ., Seoul, South Korea
Abstract :
The authors propose a two-stage recognition procedure using adjusted fuzzy membership functions. In the first stage, the recognition procedure inspects the rough feature in unknown patterns, and generates an alpha-cut set by the adjusted fuzzy membership function. If ambiguity is found in the first stage, the second stage procedure is invoked. Also weight values for calculating the distance are generated at each stage. An adjusted fuzzy membership function consists of a conventional fuzzy membership function and a fuzzy membership function changed by objective conditions
Keywords :
fuzzy set theory; speech recognition; adjusted fuzzy membership functions; alpha-cut set; speech recognition; vowel recognition; Character recognition; Feature extraction; Fuzzy logic; Fuzzy sets; Fuzzy systems; Pattern matching; Pattern recognition; Quantization; Smoothing methods; Speech recognition;
Conference_Titel :
Fuzzy Systems, 1992., IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0236-2
DOI :
10.1109/FUZZY.1992.258800
