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基于河南方音的英语语音自动分析
引用本文:李楠.基于河南方音的英语语音自动分析[J].河南师范大学学报(自然科学版),2015(2):140-146.
作者姓名:李楠
作者单位:河南师范大学外国语学院
基金项目:教育部人文社科项目(12YJC740062);河南省哲学社科项目(2013CYY025)
摘    要:首先,建立基于方音的二语发音数据库,并分析发音数据的音韵特征;然后,基于隐马尔可夫理论,提出了一种识别特定方音背景的外语学习者的语音产出的可行性方案.性能试验显示,系统可以较为准确地自动识别出以河南方音为背景的学习者的外语语音产出,并形成诊断性评价,进而提升其外语语音水平.

关 键 词:基于方音的非本族语语音识别  隐马尔可夫理论  二语语音习得

Automatic Analysis of Henan-accent-dependent English Pronunciation
LI Nan.Automatic Analysis of Henan-accent-dependent English Pronunciation[J].Journal of Henan Normal University(Natural Science),2015(2):140-146.
Authors:LI Nan
Institution:LI Nan;Faculty of International Studies,Henan Normal University;
Abstract:Firstly,the accented second language phonetic corpus is built and its phonological features are analyzed.Then based on HMM,this paper has proposed a feasible scheme for the automatic speech recognition of the foreign language learners' speech production from specific accent background in Henan.The result of performance testing shows that the system may recognize Henan-accentedEnglish,evaluate both acceptable and unacceptable productions,and promote their foreign language pronunciation.
Keywords:accented non-native speechrecognition  HMM  second language phonetic acquisition
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