This is a hidden Markov model (HMM) modeling program. Forward-backward algorithm is implemented to learn a model under maximum likelihood criterion.,This is a hidden Markov model (HMM) modeling program. Forward-backward algorithm is implemented to le

一个可执行的HMM语音识别程序例程，实现了对10个数字音的识别程序，包含了HMM语音识别中的分段，MFCC特征提取，Baum-Welch训练，及Viterbi等算法，通过此例程可以很好的理解HMM的算法原理-An executable HMM-based 10 digits speech recogntion program example. this code zip file includes segmentation, MFCC feature extraction, Baum-Welc

关于HMM入门、HMM在语音识别中应用的一些经典资料和Matlab实现代码，包含中文资料-Getting Started on the HMM, HMM in speech recognition applications to achieve some of the classic data and Matlab code that contains the Chinese data