Fuzzy Sets and Decisionmaking Approaches in Vowel and Speaker Recognition

Some applications based on the theory of fuzzy sets in problems of computer recognition of vowels and identifying the person from his spoken words using only the first three formants (F 1, F2, and F3) of the unknown utterance are presented. Two decision algorithmic methods using weighted-distance functions and property sets are developed and implemented with the optimum size of the training set on a large number of Telugu (an important Indian language) speech sounds with a recognition score of 82 percent for vowels and 97 percent for the speaker.