本文探讨和研究计算机辅助汉语教学系统中语音评价体系的组成与实现方法。采用标准普通话语音示教数据库和非特定人大词汇量标准普通话汉语语料数据库,建立标准普通话示教语句特征模板库。采用Kohonen自组织神经网络进行学习者语音信号的分类与识别,经过汉语语音教学效果评价系统的处理,获得相应的量化评价结果。初步给出了计算机辅助汉语教学系统中语音评价体系的总体框架及其实现方法。通过实验验证了本语音评价体系的设计方案是合理的、可行的。它基本上能够满足计算机辅助汉语教学系统在线评价学生语音学习效果的需要。
Abstract
To study the frame and methods of the evaluation system for the learner's pronunciations in a computer aided Chinese teaching program. We build up the feature data base of the standard Putonghua teaching program , and use the Kohonen self - organized neural network in the process of pattern recognition. The quantitative evaluation results of the learner's pronunciations can be got after the treatment of the evaluation system. We propose the frame and the methods of the evaluation system for the learner's pronunciation in a computer aided Chinese teaching program. The experiment results show that the design scheme of the evaluation system is reasonable. And the methods for the realization of the evaluation system can work.
关键词
语音信号处理 /
语音信号评价 /
计算机辅助教学
{{custom_keyword}} /
Key words
speech signal processing /
speech signal evaluation /
computer aided teaching
{{custom_keyword}} /
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] 杨行峻等. 语音信号处理. 北京:电子工业出版社,1995
[2] 朱民雄. 计算机语音处理. 北京:北京航空航天大学出版社,1990
[3] 王兵等. 汉语语音的时域声调转换方法. 数据采集与处理,11(1)
[4] 黄泽镇等. 用LPC算法估计共振峰参数的研究. 电子学报,18(5)
[5] 黄昌宁,夏莹. 语言信息处理专论. 北京:清华大学出版社,1996
[6] 谢锦辉. 隐Markov模型(HMM) 及其在语音处理中的应用. 武汉:华中理工大学出版社,1995
{{custom_fnGroup.title_cn}}
脚注
{{custom_fn.content}}