英文发音中错误语音自动识别系统设计Design of error speech automatic recognition system for English pronunciation
王兴刚
摘要(Abstract):
传统的英文发音识别系统对于学习者的错误发音不能及时进行反馈与纠正,存在误导学习者以及学习者英文水平提高缓慢的弊端。在此设计新的英文发音错误语音自动识别系统,其由语音录制模块、语音播放模块、英语发音评分模块和发音共振峰图像显示模块构成,给出评分模块的发音评分流程,实现英文发音的有效评分以及评分的存储,系统通过发音共振峰图形显示模块,清晰地表达出学习者发音与标准发音的不同之处,纠正其错误读音。通过英语音素检错程序使用独立阈值的方式来提高错误读音的检测性能,对不同音素用独立阈值进行衡量,使得英语发音中的错误语音自动识别结果更加科学化、精准化。实验结果表明,所设计的系统具有较高的错误语音自动识别能力。
关键词(KeyWords): 英语发音;错误语音;自动识别;发音评分;发音共振峰图像显示;独立阈值
基金项目(Foundation):
作者(Author): 王兴刚
DOI: 10.16652/j.issn.1004-373x.2018.10.046
参考文献(References):
- [1]张庆芳,赵鹤鸣,龚呈卉.基于因子分析和特征映射的耳语说话人识别[J].数据采集与处理,2016,31(2):362-369.ZHANG Qingfang,ZHAO Heming,GONG Chenghui.Whispered speaker identification based on factor analysis and feature mapping[J].Journal of data acquisition&processing,2016,31(2):362-369.
- [2]YOUNG S C,WANG Y H.The game embedded CALL system to facilitate English vocabulary acquisition and pronunciation[J].Journal of educational technology&society,2014,17(3):239-251.
- [3]张圣,郭武.采用通用语音属性建模的说话人确认[J].小型微型计算机系统,2016,37(11):2577-2581.ZHANG Sheng,GUO Wu.Speaker verification based on universal speech attributes[J].Journal of Chinese computer systems,2016,37(11):2577-2581.
- [4]晁浩,宋成,刘志中.语音识别中基于发音特征的声调集成算法[J].计算机工程与应用,2014,50(23):21-25.CHAO Hao,SONG Cheng,LIU Zhizhong.Integrating tone models into speech recognition system based on articulatory feature[J].Computer engineering and applications,2014,50(23):21-25.
- [5]张少白,陈燕俐,何利文.基于DIVA模型的中文复合元音发音方法研究[J].系统仿真学报,2017,29(2):255-263.ZHANG Shaobai,CHEN Yanli,HE Liwen.Research of Chinese diphthongs pronunciation based on DIVA model[J].Journal of system simulation,2017,29(2):255-263.
- [6]唐郅,侯进.基于深度神经网络的语音驱动发音器官的运动合成[J].自动化学报,2016,42(6):923-930.TANG Zhi,HOU Jin.Speech-driven articulator motion synthesis with deep neural networks[J].Acta automatica sinica,2016,42(6):923-930.
- [7]岳源,张清芳.汉语口语产生中音节和音段的促进和抑制效应[J].心理学报,2015,47(3):319-328.YUE Yuan,ZHANG Qingfang.Syllable and segments effects in mandarin Chinese spoken word production[J].Acta psychologica sinica,2015,47(3):319-328.
- [8]黄浩,徐海华,王羡慧,等.自动发音错误检测中基于最大化F1值准则的区分性特征补偿训练算法[J].电子学报,2015,43(7):1294-1299.HUANG Hao,XU Haihua,WANG Xianhui,et al.Maximum F1-score criterion based discriminative feature compensation training algorithm for automatic mispronunciation detection[J].Acta electronica sinica,2015,43(7):1294-1299.
- [9]WANG X,YAMAMOTO S.Speech recognition of English by Japanese using lexicon represented by multiple reduced phoneme sets[J].IEICE transactions on information&systems,2015,98(12):2271-2279.
- [10]杜先娜,俞一彪.有效频带多分辨率特征提取及说话人年龄识别[J].信号处理,2016,32(9):1101-1107.DU Xianna,YU Yibiao.Multi-resolution feature extraction of effective frequency bands for age recognition[J].Journal of signal processing,2016,32(9):1101-1107.