文件名称:twoSpk_unsupervised
- 所属分类：
- 语音合成与识别
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2015-06-17
- 文件大小：
- 840kb
- 下载次数：
- 0次
- 提 供 者：
- linli*****
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
无监督的两个说话人的语音分离程序。matlab/C混合编程，有说明文档，可直接使用，搞语音分离的可以下载看看。-Unsupervised speech separation for two speaker. Matlab/C mixed programming, there are documentation, can be used directly, and engage in voice separation can download to see.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
twoSpk_unsupervised
...................\matlab
...................\......\run
...................\......\...\mixture.128.seg
...................\......\...\segregated.1.wav
...................\......\...\segregated.2.wav
...................\......\...\mixture
...................\......\...\out.tandem.128.mask.dat
...................\......\...\net
...................\......\...\...\net.SU.64.dat
...................\......\...\...\maskToPitch.simple.dat
...................\......\...\...\mu.8.2.dat
...................\......\...\...\net.twoCF.64.dat
...................\......\...\...\su.dat
...................\......\...\...\net.MU.64.dat
...................\......\...\mixture.20k
...................\......\...\mixture.evCorr.128.dat
...................\......\...\mixture.wav
...................\......\...\twoSpk_unsupervised.m
...................\......\...\mixture.corr.128.dat
...................\......\...\out.tandem.128.pitch.dat
...................\......\function
...................\......\........\getGTF.m
...................\......\........\gtf2gtfcc.m
...................\......\........\remvOverlap.m
...................\......\........\runTandem.m~
...................\......\........\objfun.m
...................\......\........\segmentation
...................\......\........\runTandem.m
...................\......\........\getCorr
...................\......\........\BeamSearch.m
...................\......\........\getScr.m
...................\......\........\onoffsegment.m
...................\......\........\cochleagram
...................\......\........\...........\cochplot.m
...................\......\........\...........\f_af_bf_cf.mat
...................\......\........\...........\gammatone.m
...................\......\........\...........\crossChanCorr.m~
...................\......\........\...........\gammatone.m~
...................\......\........\...........\mask.out
...................\......\........\...........\gammatone_Ke.m
...................\......\........\...........\synthesis.m~
...................\......\........\...........\synthesisNorm.m
...................\......\........\...........\synthesis.m
...................\......\........\...........\synthesis_Ke.m
...................\......\........\...........\crossChanCorr.m
...................\......\........\...........\loudness.m
...................\......\........\...........\synthesis_Ke.m~
...................\......\........\...........\cochleagram.m
...................\......\........\...........\gammatoneNorm.m
...................\......\........\...........\correlogram.m~
...................\......\........\...........\erb2hz.m
...................\......\........\...........\correlogram.m
...................\......\........\...........\getIBM.m
...................\......\........\...........\ibmNorm.m
...................\......\........\...........\synthesis_SNR.m
...................\......\........\...........\hz2erb.m
...................\......\........\...........\cochplot.m~
...................\......\........\...........\meddis.m
...................\......\........\...........\synthesis_SNR.m~
...................\......\........\tandem_16000
...................\......\........\binLoad.m