Title :
Discriminant analysis and perceptual test of French stops and nasals
Author :
Kitazawa, Shigeyoshi ; Tubach, J.P.
Author_Institution :
Dept. of Comput. Sci., Shizuoka Univ., Hamamatsu, Japan
Abstract :
French stop and nasal consonants are, shown through statistical analysis, to be recognizable by machine using features of spectrum adjacent to the stop burst or the release under speaker- and vowel-independent conditions. The fact that human perception can recognize most syllables which are misclassified by machine suggests that the acoustic processing of speech signals can be improved for more precise pattern recognition
Keywords :
speech recognition; French stops; acoustic processing; discriminant analysis; nasal consonants; pattern recognition; speaker-independent; speech recognition; speech signals; statistical analysis; vowel-independent conditions; Cepstrum; Computer science; Decoding; Displays; Humans; Linear predictive coding; Pattern recognition; Speech analysis; Speech recognition; Testing;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28445
