基于隐马尔可夫模型的语音单字识别研究：本文针对线性模型在语音识别中的不足, 进行了隐马尔可夫模型(HMM)在

语音单字识别中的研究,主要对观察输出概率求解、 最佳状态序列寻找、 参数估计和

模型参数的选择进行了探讨.-Based on hidden Markov model speech word recognition: the lack of the linear model in speech recognition, hidden Markov model (HMM) speech word recognition, mainly on the observation of the output probability for solving the most best state sequence search, the choice of the parameter estimation and model parameters are discussed.