摘要
普通话水平测试电子化系统有助于高效地进行普通话水平测试。本文在100小时标准发音人数据库的基础上,针对汉语发音特点,利用语言学专家知识,引入语料选择的自适应算法改进了传统的语音评测算法。在500人普通话水平测试数据库上的测试结果表明,新评测算法能有效提升评测性能。经过分段线性映射,机器评分和人工评分的误差(2.44)和人工与人工评分之间的误差(2.30)相当。这表明可以使用机器代替人工进行普通话水平测试的前三项评分工作。
This paper develops an automatic PSC testing system aiming at efficiently evaluating the spoken Chinese. On the basis of 100 hours＇ standard Chinese database, this paper uses the characteristic of Chinese and linguist＇s expert knowledge to optimize the traditional speech evaluation algorithm. At the same time, a corpus-adaptive method is propose to enhance the robustness and performance of the algorithm. Experiments on 500 persons＇ PSC testing database prove that the new algorithm is much better than the original algorithm. After linear mapping, the error between the machine score and the human score is almost equal to the error between humans＇ , that is 2. 44. The result indicates that the automatic PSC testing system can replace the human to evaluating spoken Chinese under text-dependent condition.
出处
《中文信息学报》
CSCD
北大核心
2006年第6期89-96,共8页
Journal of Chinese Information Processing
基金
国家十五重点项目资助(ZDI105-B02)
关键词
计算机应用
中文信息处理
普通话水平测试
语音评测
普通话水平测试数据库
电子化系统
computer application
Chinese information processing
Putonghua shuiping ceshi
pronunciation evaluation
PSC testing database, automatic testing system.
