文件名称:voice-conversion--MFCC-GMM
介绍说明－－下载内容均来自于网络，请自行研究使用
实现多个人的说话人识别，基于gmm模型，用mfcc参数训练-voice conversion based on gmm
(系统自动生成,下载前可以参看下载内容)
下载文件列表
基于MFCC的GMM的说话人识别\buffer2.m
.........................\enframe.m
.........................\epdByVol.m
.........................\epdParamSet.m
.........................\frame2sampleIndex.m
.........................\frame2volume.m
.........................\frameZeroMean.m
.........................\getTriFilterParam.m
.........................\gmm_estimate.m
.........................\go.asv
.........................\go.m
.........................\lmultigauss.m
.........................\lsum.m
.........................\melbankm.m
.........................\melcepst.m
.........................\mfccParamSet.m
.........................\MFCC_feature_compare.asv
.........................\MFCC_feature_compare.m
.........................\rdct.m
.........................\rfft.m
.........................\segmentFind.m
.........................\speakerData.mat
.........................\speakerGmm.mat
.........................\trainning\10sa1.wav
.........................\.........\11sa1.wav
.........................\.........\12sa1.wav
.........................\.........\13sa1.wav
.........................\.........\14sa1.wav
.........................\.........\15sa1.wav
.........................\.........\16sa1.wav
.........................\.........\1sa1.wav
.........................\.........\2sa1.wav
.........................\.........\3sa1.wav
.........................\.........\4sa1.wav
.........................\.........\5sa1.wav
.........................\.........\6sa1.wav
.........................\.........\7sa1.wav
.........................\.........\8sa1.wav
.........................\.........\9sa1.wav
.........................\wave2mfcc.m
.........................\识别\1si2096.wav
.........................\....\2si564.wav
.........................\....\3si762.wav
.........................\....\4si558.wav
.........................\说明文档.txt
.........................\trainning
.........................\识别
基于MFCC的GMM的说话人识别