%0 Journal Article
%T Chinese Digital Identification Based on MFCC by Using GMM Clustering<br>对MFCC 进行GMM 聚类的汉语数字识别方法
%A GAO Wen-Xi
%A YU Feng-Qin
%A <br>高文曦
%A 于凤芹
%J 计算机系统应用
%D 2011
%I 
%X 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%.
%K Chinese digital identification
%K MFCC
%K GMM clustering<br>汉语数字识别
%K MFCC
%K GMM聚类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=48687FEEF97E586197F7E6E6ED9BA31D&yid=9377ED8094509821&vid=A04140E723CB732E&iid=708DD6B15D2464E8&sid=ED01F5AE50BE09C0&eid=C5F8B8CB20F1B3D8&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=6