The acoustic characteristics or the chinese vowels of 24 children with cleft palate and 10 normal control children were analyzed by computerized speech signal processing system (CSSPS),and the speech articulation was ...The acoustic characteristics or the chinese vowels of 24 children with cleft palate and 10 normal control children were analyzed by computerized speech signal processing system (CSSPS),and the speech articulation was judged with Glossary of clert palate speech(GCPS).The listening judgement showed that the speech articulation was significantly different between the two groups(P<0.01).The objective quantitative measurement suggested that the formant pattern(FP)of vowels in children with cleft palate was different from that of normal control children except vowel[a](P< 0.05).The acoustic vowelgraph or the Chinese vowels which demonstrated directly the relationship of vocal space and speech perception was stated with the first formant frequence(F1)and the second formant frequence(F2).The authors conclude that the values or F1 and F2 point out the upward and backward tongue movement to close the clert, which reflects the vocal characteristics of trausmission of clert palate speech.展开更多
Vowels in checked syllables are almost short and abrupt in Chinese Mandarin dialects. This paper proposed a parametric statistical modeling for the analysis of these vowels.The parameters were described empirically wi...Vowels in checked syllables are almost short and abrupt in Chinese Mandarin dialects. This paper proposed a parametric statistical modeling for the analysis of these vowels.The parameters were described empirically with the method of probability distribution. The effects of the multiparameter classifications were estimated by the binary and multinomial logistic models, and the method of support vector machine was adopted to carry out the pattern recognition of the classifications. The results show that the parameters of duration, DCT_（1-3）are significant to the external classification, and the parameters of DCT_（0-3） have significant main effects on the internal classification. The automatic testing shows that the hit rate of the external pattern recognition is only 43.6% but the rate is 96.1% of the internal. It indicates that the abrupt feature should be additive rather than distinctive.展开更多
文摘The acoustic characteristics or the chinese vowels of 24 children with cleft palate and 10 normal control children were analyzed by computerized speech signal processing system (CSSPS),and the speech articulation was judged with Glossary of clert palate speech(GCPS).The listening judgement showed that the speech articulation was significantly different between the two groups(P<0.01).The objective quantitative measurement suggested that the formant pattern(FP)of vowels in children with cleft palate was different from that of normal control children except vowel[a](P< 0.05).The acoustic vowelgraph or the Chinese vowels which demonstrated directly the relationship of vocal space and speech perception was stated with the first formant frequence(F1)and the second formant frequence(F2).The authors conclude that the values or F1 and F2 point out the upward and backward tongue movement to close the clert, which reflects the vocal characteristics of trausmission of clert palate speech.
基金supported by the Innovation Project of Phonetics and Grammar of Chinese Dialects from Chinese Academy of Social Sciencesthe Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institution(PAPD)
文摘Vowels in checked syllables are almost short and abrupt in Chinese Mandarin dialects. This paper proposed a parametric statistical modeling for the analysis of these vowels.The parameters were described empirically with the method of probability distribution. The effects of the multiparameter classifications were estimated by the binary and multinomial logistic models, and the method of support vector machine was adopted to carry out the pattern recognition of the classifications. The results show that the parameters of duration, DCT_（1-3）are significant to the external classification, and the parameters of DCT_（0-3） have significant main effects on the internal classification. The automatic testing shows that the hit rate of the external pattern recognition is only 43.6% but the rate is 96.1% of the internal. It indicates that the abrupt feature should be additive rather than distinctive.
