MSR Identity Toolkit源码+产生对应的list源码

【实例简介】
说话人识别MSR Identity Toolkit是微软的声纹识别工具箱。该工具箱包含了常规的基于GMM-UBM方法以及基于i-vector方法的介绍文档与MATLAB源码。在此基础上，加入了个人学习过程中产生对应List的python文件，资料更为完整，对初学者十分有帮助。结合下面的链接中的博客来学习，迅速入门。 https://blog.csdn.net/u010592995/article/details/77340761
【实例截图】
【核心代码】
6783d6f1-1581-481d-b4bb-0ca669a56549
└── MSR Identity Toolkit源码+产生对应的list源码
├── ChangePath.py
├── cmvn.m
├── compute_bw_stats.exe
├── compute_bw_stats.m
├── compute_eer.m
├── config
├── demo_gmm_ubm_artificial.m
├── demo_gmm_ubm.m
├── demo_ivector_plda_artificial.m
├── demo_ivector_plda.m
├── enrollscript.scp
├── enroll_wavtomfc.py
├── exer1.m
├── exer2.m
├── exer.m
├── extract_ivector.exe
├── extract_ivector.m
├── fea_warping.m
├── genlistfor_speaker_models.py
├── genlistfor_trials2.py
├── genlistfor_trials.py
├── genlistfor_ubm_with_inds.py
├── gmm_em.exe
├── gmm_em.m
├── gplda_em.m
├── hamming.m
├── htkread.m
├── htkwrite.m
├── lda.m
├── length_norm.m
├── mapAdapt.exe
├── mapAdapt.m
├── mfcc_cmvn.m
├── model_ivs1.mat
├── model_ivs2.mat
├── part_of_train.lst
├── plda.mat
├── rm_dc_n_dither.m
├── run.sh
├── score_gmm_trials.m
├── score_gplda_trials.m
├── ScoresToEER
│   ├── ScoresToEER456192_40_80
│   │   ├── compute_eer.m
│   │   ├── eer_result.txt
│   │   ├── score_eer.m
│   │   ├── score_eer.sh
│   │   ├── scores_fuweight085_comment_5000.txt
│   │   ├── scores_fuweight086_comment_5000.txt
│   │   ├── scores_fuweight087_comment_5000.txt
│   │   ├── scores_fuweight088_comment_5000.txt
│   │   ├── scores_fuweight089_comment_5000.txt
│   │   ├── scores_fuweight090_comment_5000.txt
│   │   ├── scores_fuweight091_comment_5000.txt
│   │   ├── scores_fuweight092_comment_5000.txt
│   │   ├── scores_fuweight093_comment_5000.txt
│   │   ├── scores_fuweight094_comment_5000.txt
│   │   ├── scores_fuweight095_comment_5000.txt
│   │   ├── scores_fuweight096_comment_5000.txt
│   │   ├── scores_fuweight097_comment_5000.txt
│   │   ├── scores_fuweight098_comment_5000.txt
│   │   ├── scores_fuweight099_comment_5000.txt
│   │   ├── scores_fuweight0_comment_5000.txt
│   │   ├── scores_fuweight1_comment_5000.txt
│   │   ├── scores.mat
│   │   ├── tomat.sh
│   │   └── txtTomat.m
│   ├── ScoresToEER456192_60_100
│   │   ├── compute_eer.m
│   │   ├── eer_result.txt
│   │   ├── score_eer.m
│   │   ├── score_eer.sh
│   │   ├── scores_fuweight085_comment_5000.txt
│   │   ├── scores_fuweight086_comment_5000.txt
│   │   ├── scores_fuweight087_comment_5000.txt
│   │   ├── scores_fuweight088_comment_5000.txt
│   │   ├── scores_fuweight089_comment_5000.txt
│   │   ├── scores_fuweight090_comment_5000.txt
│   │   ├── scores_fuweight091_comment_5000.txt
│   │   ├── scores_fuweight092_comment_5000.txt
│   │   ├── scores_fuweight093_comment_5000.txt
│   │   ├── scores_fuweight094_comment_5000.txt
│   │   ├── scores_fuweight095_comment_5000.txt
│   │   ├── scores_fuweight096_comment_5000.txt
│   │   ├── scores_fuweight097_comment_5000.txt
│   │   ├── scores_fuweight098_comment_5000.txt
│   │   ├── scores_fuweight099_comment_5000.txt
│   │   ├── scores_fuweight0_comment_5000.txt
│   │   ├── scores_fuweight1_comment_5000.txt
│   │   ├── scores.mat
│   │   ├── tomat.sh
│   │   └── txtTomat.m
│   ├── ScoresToEER76032
│   │   ├── comment_5000
│   │   │   ├── compute_eer.m
│   │   │   ├── score_eer.m
│   │   │   ├── scores_fuweight085_comment_5000.txt
│   │   │   ├── scores_fuweight086_comment_5000.txt
│   │   │   ├── scores_fuweight087_comment_5000.txt
│   │   │   ├── scores_fuweight088_comment_5000.txt
│   │   │   ├── scores_fuweight089_comment_5000.txt
│   │   │   ├── scores_fuweight090_comment_5000.txt
│   │   │   ├── scores_fuweight091_comment_5000.txt
│   │   │   ├── scores_fuweight092_comment_5000.txt
│   │   │   ├── scores_fuweight093_comment_5000.txt
│   │   │   ├── scores_fuweight094_comment_5000.txt
│   │   │   ├── scores_fuweight095_comment_5000.txt
│   │   │   ├── scores_fuweight096_comment_5000.txt
│   │   │   ├── scores_fuweight097_comment_5000.txt
│   │   │   ├── scores_fuweight098_comment_5000.txt
│   │   │   ├── scores_fuweight099_comment_5000.txt
│   │   │   ├── scores_fuweight0_comment_5000.txt
│   │   │   ├── scores_fuweight1_comment_5000.txt
│   │   │   ├── scores.mat
│   │   │   └── txtTomat.m
│   │   ├── compute_eer.m
│   │   ├── score_eer.m
│   │   ├── scores_fuweight090_comment.mat
│   │   ├── scores_fuweight090_comment.txt
│   │   ├── scores_fuweight091_comment.mat
│   │   ├── scores_fuweight091_comment.txt
│   │   ├── scores_fuweight092_comment.mat
│   │   ├── scores_fuweight092_comment.txt
│   │   ├── scores_fuweight093_comment.mat
│   │   ├── scores_fuweight093_comment.txt
│   │   ├── scores_fuweight094_comment.mat
│   │   ├── scores_fuweight094_comment.txt
│   │   ├── scores_fuweight095_comment.mat
│   │   ├── scores_fuweight095_comment.txt
│   │   ├── scores_fuweight096_comment.mat
│   │   ├── scores_fuweight096_comment.txt
│   │   ├── scores_fuweight097_comment.mat
│   │   ├── scores_fuweight097_comment.txt
│   │   ├── scores_fuweight098_comment.mat
│   │   ├── scores_fuweight098_comment.txt
│   │   ├── scores_fuweight099_comment.mat
│   │   ├── scores_fuweight099_comment.txt
│   │   ├── scores_fuweight099.mat
│   │   ├── scores_fuweight099.txt
│   │   ├── scores_fuweight0_comment.mat
│   │   ├── scores_fuweight0_comment.txt
│   │   ├── scores_fuweight0.mat
│   │   ├── scores_fuweight0.txt
│   │   ├── scores_fuweight1_comment.mat
│   │   ├── scores_fuweight1_comment.txt
│   │   ├── scores_fuweight1.mat
│   │   └── scores_fuweight1.txt
│   └── ScoresToEER76032_456192_40_80
│   ├── compute_eer.m
│   ├── eer_result.txt
│   ├── score_eer.m
│   ├── score_eer.sh
│   ├── scores_fuweight085_comment_5000.txt
│   ├── scores_fuweight086_comment_5000.txt
│   ├── scores_fuweight087_comment_5000.txt
│   ├── scores_fuweight088_comment_5000.txt
│   ├── scores_fuweight089_comment_5000.txt
│   ├── scores_fuweight090_comment_5000.txt
│   ├── scores_fuweight091_comment_5000.txt
│   ├── scores_fuweight092_comment_5000.txt
│   ├── scores_fuweight093_comment_5000.txt
│   ├── scores_fuweight094_comment_5000.txt
│   ├── scores_fuweight095_comment_5000.txt
│   ├── scores_fuweight096_comment_5000.txt
│   ├── scores_fuweight097_comment_5000.txt
│   ├── scores_fuweight098_comment_5000.txt
│   ├── scores_fuweight099_comment_5000.txt
│   ├── scores_fuweight0_comment_5000.txt
│   ├── scores_fuweight1_comment_5000.txt
│   ├── scores.mat
│   ├── tomat.sh
│   └── txtTomat.m
├── script.scp
├── speaker_model_map.lst
├── test_ivs.mat
├── testscript.scp
├── test_wavtomfc.py
├── trainChangePath.lst
├── train.lst
├── trainscript.scp
├── train_tv_space.exe
├── train_tv_space.m
├── train_tv_space.mat
├── train_wavtomfc.py
├── trials.lst
├── ubm.lst
├── ubmnocmvn_train.mat
├── ubm_train_ivector.m
├── ubm_train_ivector.mat
├── ubm_train.m
├── ubm_train.mat
├── V.mat
└── wcmvn.m

7 directories, 187 files