汉语促化元音的声学分析  

An acoustic analysis of vowels in checked syllables in Chinese

作　　者：吴波[1] WU Bo(School of Humanities, Nanjing Normal University Nanjing 210097)

机构地区：[1]南京师范大学文学院

出　　处：《声学学报》2018年第3期410-416,共7页Acta Acustica

基　　金：中国社会科学院语言所创新工程项目“方言语音语法”资助

摘　　要：汉语入声音节中的元音多表现为短而促的特点,为分析这一现象,借鉴参数统计模型的思路,提出了声学参数的选取、参数作用的检验与参数分类的自动检测的一套方法。采用了概率分布的一般方法对声学参数进行描写以选取有效声学参数,采用了二元与多元逻辑回归模型的方法对参数的分类作用进行检验,采用了支持向量机模型对参数的分类结果进行自动检测。模型检验显示,对促化元音的外部分类,时长与DCT1～3四维参数有显著性作用,对内部分类,DCT0～3四维参数有显著性作用。自动检测结果显示,外部分类中四维参数的促化元音检测率约仅为43.6%,内部检测的总检测率约为96.1%,说明促化作为元音的附加性特征更为突出。Vowels in checked syllables are almost abrupt in Chinese mandarin dialects. In order to analyze abrupt vowels in CVG syllable, the approach and methods of parametric statistical models were proposed. The method of probability distribution was used to describe the parameters. The function of parametric classification was tested by binomial and multinomial logistic models, and support vector machine was used to automatically test the classifications. The results show that the parameters of duration, DCT1-3 are significant to the external classification, and the parameters of DCT0-3 have significant meaning in the internal classification. The automatic testing shows that the detection rate of external classification is only 43.6% but the rate is 96.1% in internal classification. This means that abrupt feature should be additional to vowels.

关 键 词：元音 声学分析 汉语 声学参数 自动检测 逻辑回归模型 模型检验 统计模型 

分 类 号：H116[语言文字—汉语]