作　　者： ; ; ;

机构地区： 江门职业技术学院

出　　处： 《计算机应用》 2010年第4期1135-1140,共6页

摘　　要： 通过罗列分析声母读音错误的主要表现形式,提出了利用语音知识引导的两层两级声母客观评测算法。根据普通话声母的特点,总结出98种普通话声韵组合作为声母的评测基元。实验结果表明,所提出的算法比单独用隐马尔可夫模型(HMM)算法评测的主客观符合率高2.56%,比单独用BP神经网络算法评测的主客观符合率高3.65%,比只用单层算法评测的主客观符合率高1.42%,证明该算法不但能减少计算量,还能提高评测的精度。 After searching and analyzing the error forms of spoken initials,a two-time-two-level objective evaluation algorithm of initials was advanced on the basis of the phonetic knowledge.Ninety-eight combinations of initial and final were summarized as the basic elements of the initial objective evaluation.The experiment has manifested that the accuracy of the two-time-two-level algorithm is 2.56% higher than that of the Hidden Markov Model（HMM）algorithm,and 3.65% higher than that of BP neural network algorithm,and also 1.42% higher than that of single-time-two-level algorithm.The results prove that the calculation amount of decreases,and the accuracy increases.

关 键 词： 语音客观评测 声母 语音信号处理 普通话水平测试 计算机辅助语言学习

领　　域： [自动化与计算机技术] [自动化与计算机技术]