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

Abstract: 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.

Key words: speech objective evaluation, initial, speech signal processing, Mandarin proficiency test, computer assisted language learning