【摘要】 提出了一种改进的隐马尔柯夫模型（ＭＨＭＭ）方法，并在ＭＨＭＭ方法中结合进人工神经网络（ＡＮＮ）方法，以这种方法为基础建立了语音识别系统。实验结果表明，与隐马尔柯夫模型方法比较，新系统的识别率有所提高，从而，充分地显示了人工神经网络在语音识别中的可行性和有效性。更多还原

【Abstract】 In this paper, we present an improved hidden Markov model(MHMM)method,and propose to incorporate the artificial neural network(ANN)method in theMHMM framework to set up a speech recognition system.We experimentally showthat MHMM has been successfully combined with a neural network to build a newsystem.It is found that the recognition performance of the new system is muchbetter than that of the conventional HMM recognizer. The new system alsodemonstrates the usefulness of ANN in speech recognition.更多还原