Discriminant analysis and perceptual test of French stops and nasals

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.<>