DocumentCode
1806774
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
fYear
1988
fDate
14-17 Nov 1988
Firstpage
1077
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1988., 9th International Conference on
Conference_Location
Rome
Print_ISBN
0-8186-0878-1
Type
conf
DOI
10.1109/ICPR.1988.28445
Filename
28445
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