The teaching experiment of speech recognition based on HMM

Because the basis of students´ math and limited time, the voice recognition is facing a dilemma. This article contact teaching practice. The content of the article is divided into two types, one is voice recognition principle, the other is speech recognition practice, We propose two types of the weakening formula derivation and stressed that the process of practice teaching ideas. In order to improve the students ´interest in learning, deepen the students´ understanding of speech recognition, we present an example for the pilot teaching methods; The same time, we have given some useful speech recognition practices, from the cultivation of students´ practical ability and scientific interest angle, the teaching experiments in speech based on HTK platform(HTK is a kit of hidden Markov model, HMM can be used to simulate any time series), It describes a hidden Markov model speech recognition principle and implementation process, design and realization of a speech recognition system, Describes the principle of speech recognition, speech signal pre-processing, speech training and recognition. Finally, the test results indicate the feasibility of the model.