节点文献
基于区别特征检测的汉语韵母分类
Classification of Mandarin Finals Based on Distinctive Features Detection
【摘要】 从张家騄提出的韵母区别特征树出发,研究区别特征的声学参数。将韵母分为无介音和介音韵母两部分,使用支持向量机检测韵母的区别特征。在此基础上,通过区别特征树上的二元搜索过程实现韵母的分类。每个节点对应于一个区别特征,经过特定的搜索路径,韵母就被唯一确定下来。使用上述方法,大部分韵母的识别率在90%以上。
【Abstract】 Acoustic parameters of distinctive feature are studied based on distinctive features framework proposed by Zhang Jialu.Finals are divided into beginning with and without glides.In both cases,two-class classifiers are constructed by support vector machine to check the distinctive features.On this basis,finals are classified through binary search in distinctive features trees.Each node corresponds to a kind of distinctive feature and finals are identified according to a specific search process.The accuracy of most mandarin finals is above 90%.
【关键词】 语音评测;
韵母;
介音;
区别特征;
支持向量机;
【Key words】 speech evaluation; finals; glides; distinctive features; support vector machine;
【Key words】 speech evaluation; finals; glides; distinctive features; support vector machine;
- 【文献出处】 电声技术 ,Audio Engineering , 编辑部邮箱 ,2011年09期
- 【分类号】TP391.41
- 【被引频次】3
- 【下载频次】170