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Voice-recognition-using-mfcc-and-svm-Bitsforge

于 2012-11-21 发布 文件大小:222KB
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下载积分: 1 下载次数: 160

代码说明:

  voice recognition using mfcc

文件列表:

svm
...\htm" target=_blank>code14-11,319,2002-01-07
...\consist.m,2508,2012-11-15
...\demecoc1.m,1253,2012-11-15
...\demecoc1.mat,88496,2002-01-07
...\demsvm1.m,7624,2012-11-15
...\demsvm2.m,10614,2012-11-15
...\demsvm3.m,1104,2012-11-15
...\ecoc-codes.tar.gz,315933,2001-12-19
...\ecoc.m,1312,2012-11-15
...\ecocfwd.m,1708,2012-11-15
...\ecocload.m,2955,2012-11-15
...\ecoctrain.m,2405,2012-11-15
...\Readme.txt,161,2012-11-15
...\svm.m,4565,2012-11-15
...\svmcv.m,8422,2012-11-15
...\svmfwd.m,2127,2012-11-15
...\svmkernel.m,2568,2012-11-15
...\svmstat.m,3942,2012-11-15
...\svmtrain.m,19900,2012-11-15

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    预白化是对语音信号在处理之前的一中预处理操作,对其后的操作有很重要的作用()
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    这 里主要对LMS算法及一些改进的LMS算法(NLMS算法、变步长LMS算法、变换域LMS算法)之间的不同点进行了比较,,在传统的LMS算法的基础上发 展了LMS算法的应用。另一方面又从RLS算法的分析析中对其与LMS算法的不同特性进行了比较。 (Here the main difference between the LMS algorithm and improved LMS algorithm (NLMS algorithm, variable step size LMS algorithm, the transform domain LMS algorithm) comparison, the traditional LMS algorithm based on the development of the application of the LMS algorithm . On the other hand and from its different characteristics of the LMS algorithm of the analytical analysis of the RLS algorithm.)
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