北京大学学报（自然科学版）2018，Vol.54Issue(2)：243-248,6.DOI:10.13209/j.0479-8023.2017.152
基于发音特征的汉语发音偏误自动标注
A Study of Articulatory Features Based Detection of Mandrain Pronunciation Erroneous Tendency for Automatic Annotation
摘要
Abstract
For the purpose of relieving the time cost and inconformity in annotation, the authors use an articulatory features based mispronunciation detection system to give an Top-N feedback and use this feedback to assist manual annotation. As a result, the consistency rate of phoneme labels in proposed system increases from 80.7% to 92.48%. In addition, the time cost for annotating each sentence reduce from 10 to 3 minutes. The results indicate that proposed automatic annotation system is practical, and there is also a room for further improvement.关键词
发音特征/发音偏误趋势/自动标注Key words
articulatory features (AFs)/pronunciation erroneous tendency (PET)/automatic annotation分类
信息技术与安全科学引用本文复制引用
魏星,王玮,陈静萍,解焱陆,张劲松..基于发音特征的汉语发音偏误自动标注[J].北京大学学报（自然科学版）,2018,54(2):243-248,6.基金项目
国家语言文字工作委员会科研项目(ZDI135-51)、北京语言大学梧桐创新平台项目(16PT05)、北京语言大学研究生创新基金项目(17YCX140)和语言资源高精尖创新中心项目(451122500)资助 （ZDI135-51）
