普通话声母的客观评测

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。

Objective evaluation of Mandarin initials

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,a...