Chinese Digital Identification Based on MFCC by Using GMM Clustering
对MFCC 进行GMM 聚类的汉语数字识别方法

MFCC is widely used in Chinese digital identification.Because the amount of MFCC extracted from 0-9 is too large,the mean of model parameters which is clustered with GMM by MFCC to reduce the amount is employed as a new feature with DTW for Chinese digital identification.Simulation results demonstrate that the amount of the new feature is 30.9% to that of MFCC,the running time reduces by 237.18s,but the recognition rate decreases by 1.11%.