Microsoft Research s speaker recognition toolkit, including GMM-UBM, I-Vector. Demo_gmm_ubm_artificial.m and demo_ivector_plda_artificial.m which generates an analog characteristic parameters for example teaching training and recognition, very suitable for beginners to learn the basic algorithm for speaker recognition. See the specific use of internal documents.

MSR Identity Toolkit v1.0
.........................\code
.........................\....\cmvn.m
.........................\....\compute_bw_stats.m
.........................\....\compute_eer.m
.........................\....\demo_gmm_ubm.m
.........................\....\demo_gmm_ubm_artificial.m
.........................\....\demo_ivector_plda.m
.........................\....\demo_ivector_plda_artificial.m
.........................\....\extract_ivector.m
.........................\....\fea_warping.m
.........................\....\gmm_em.m
.........................\....\gplda_em.m
.........................\....\hamming.m
.........................\....\htkread.m
.........................\....\htkwrite.m
.........................\....\lda.m
.........................\....\length_norm.m
.........................\....\mapAdapt.m
.........................\....\rm_dc_n_dither.m
.........................\....\score_gmm_trials.m
.........................\....\score_gplda_trials.m
.........................\....\train_tv_space.m
.........................\....\wcmvn.m
.........................\doc
.........................\...\MSR Identity Toolbox.docx
.........................\...\MSR Identity Toolbox.pdf
.........................\...\~$entity Toolbox-rev5.docx
.........................\...\~$entity Toolbox-rev6.docx
.........................\MSR-LA No distrib-OK to modify.docx
.........................\MSR-LA No distrib-OK to modify.pdf
.........................\MSR-LA No distrib-OK to modify.txt

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