首页 | 本学科首页   官方微博 | 高级检索  
     

改进的混合MFCC语音识别算法研究
引用本文:袁正午,肖旺辉. 改进的混合MFCC语音识别算法研究[J]. 计算机工程与应用, 2009, 45(33): 108-110. DOI: 10.3778/j.issn.1002-8331.2009.33.035
作者姓名:袁正午  肖旺辉
作者单位:重庆邮电大学,中韩合作GIS研究所,重庆,400065;重庆大学,土木工程学院博士后流动站,重庆,400045;重庆邮电大学,中韩合作GIS研究所,重庆,400065
基金项目:国家高技术研究发展计划(863) 
摘    要:针对MFCC特征参数在语音识别中对中高频信号的识别精度不高的特点,提出采用IMFCC,MIDMFCC,MFCC相结合的改进算法,使用混合滤波器组,提高在语音中高频区域中的识别精度。实验结果表明,改进之后的算法与经典算法比较,在相同环境下对语音信息的识别率都有一定程度的提高。

关 键 词:Mel频率倒谱系数(MFCC)  语音识别  特征提取
收稿时间:2009-06-15
修稿时间:2009-8-4 

Improved speech recognition algorithm based on MFCC feature
YUAN Zheng-wu,XIAO Wang-hui. Improved speech recognition algorithm based on MFCC feature[J]. Computer Engineering and Applications, 2009, 45(33): 108-110. DOI: 10.3778/j.issn.1002-8331.2009.33.035
Authors:YUAN Zheng-wu  XIAO Wang-hui
Affiliation:1.Sino-Korea GIS Research Center,Chongqing University of Posts & Telecommunications,Chongqing 400065,China 2.Civil Engineering Mobile Station for Post Doctors,Chongqing University,Chongqing 400045,China
Abstract:Aiming at low calculation accuracy of MFCC feature parameters for speech recognition in high-frequency signals,this paper adopts the combination algorithm of IMFCC,MIDMFCC,MFCC,whieh uses a mixture of filter banks to enhance high-fre-quency calculation accuracy in the calculation accuracy.The experiments result shows that the recognition rate of improved algo-rithm increases compared to the classical algorithm in the same environment.
Keywords:Mel-Frequency Cepstral Coefficients(MFCC)  speech recognition  feature extraction
本文献已被 维普 万方数据 等数据库收录!
点击此处可从《计算机工程与应用》浏览原始摘要信息
点击此处可从《计算机工程与应用》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号