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ResearchFormerly WizWand

Speaker Recognition on VoxCeleb1 (test)

2.21EERAngular Prototypical
2.10322.82413.5454.2659Mar 26, 2020
Updated 8mo ago

Evaluation results

MethodLinks
Angular PrototypicalM=2, backbone=Thin ResNet-342020.032.21
Angular PrototypicalM=2, backbone=Fast ResNet-342020.032.22
PrototypicalM=2, backbone=Fast ResNet-342020.032.32
PrototypicalM=2, backbone=Thin ResNet-342020.032.34
AAM-Softmaxm=0.2, s=30, backbone=Thin ResNet-342020.032.36
AAM-Softmaxm=0.3, s=30, Curriculum=true, backbone=Fast ResNet-342020.032.37
GE2EM=3, backbone=Fast ResNet-342020.032.37
AAM-Softmaxm=0.2, s=30, backbone=Fast ResNet-342020.032.38
AAM-Softmaxm=0.3, s=30, Curriculum=true, backbone=Thin ResNet-342020.032.39
PrototypicalM=3, backbone=Fast ResNet-342020.032.39
AM-Softmaxm=0.2, s=30, backbone=Thin ResNet-342020.032.4
Angular PrototypicalM=3, backbone=Fast ResNet-342020.032.4
AM-Softmaxm=0.1, s=30, backbone=Fast ResNet-342020.032.41
AAM-Softmaxm=0.3, s=50, Curriculum=true, backbone=Thin ResNet-342020.032.41
AAM-Softmaxm=0.3, s=50, Curriculum=true, backbone=Fast ResNet-342020.032.42
AM-Softmaxm=0.2, s=30, backbone=Fast ResNet-342020.032.43
Angular PrototypicalM=3, backbone=Thin ResNet-342020.032.45
AAM-Softmaxm=0.1, s=30, backbone=Fast ResNet-342020.032.48
AAM-Softmaxm=0.2, s=50, backbone=Fast ResNet-342020.032.49
AAM-Softmaxm=0.2, s=50, backbone=Thin ResNet-342020.032.5
AM-Softmaxm=0.2, s=50, backbone=Fast ResNet-342020.032.51
GE2EM=2, backbone=Fast ResNet-342020.032.51
AM-Softmaxm=0.3, s=30, backbone=Fast ResNet-342020.032.52
GE2EM=3, backbone=Thin ResNet-342020.032.52
AM-Softmaxm=0.3, s=50, backbone=Fast ResNet-342020.032.53
Tripletm=0.1, CHNM=true, backbone=Thin ResNet-342020.032.53
PrototypicalM=3, backbone=Thin ResNet-342020.032.54
GE2EM=2, backbone=Thin ResNet-342020.032.56
AM-Softmaxm=0.1, s=30, backbone=Thin ResNet-342020.032.59
GE2EM=4, backbone=Thin ResNet-342020.032.59
GE2EM=4, backbone=Fast ResNet-342020.032.59
AM-Softmaxm=0.2, s=50, backbone=Thin ResNet-342020.032.6
AAM-Softmaxm=0.1, s=30, backbone=Thin ResNet-342020.032.6
Tripletm=0.2, CHNM=true, backbone=Thin ResNet-342020.032.6
Angular PrototypicalM=4, backbone=Fast ResNet-342020.032.6
Tripletm=0.3, CHNM=true, backbone=Thin ResNet-342020.032.66
GE2EM=5, backbone=Fast ResNet-342020.032.66
AM-Softmaxm=0.4, s=30, backbone=Fast ResNet-342020.032.67
AM-Softmaxm=0.4, s=50, backbone=Fast ResNet-342020.032.69
AM-Softmaxm=0.3, s=30, backbone=Thin ResNet-342020.032.71
AAM-Softmaxm=0.1, s=50, backbone=Fast ResNet-342020.032.71
Tripletm=0.2, CHNM=true, backbone=Fast ResNet-342020.032.71
AM-Softmaxm=0.1, s=50, backbone=Fast ResNet-342020.032.73
Tripletm=0.1, CHNM=true, backbone=Fast ResNet-342020.032.73
Angular PrototypicalM=4, backbone=Thin ResNet-342020.032.75
Tripletm=0.4, CHNM=true, backbone=Thin ResNet-342020.032.76
AM-Softmaxm=0.1, s=15, backbone=Fast ResNet-342020.032.77
AAM-Softmaxm=0.1, s=15, backbone=Thin ResNet-342020.032.78
GE2EM=5, backbone=Thin ResNet-342020.032.78
AM-Softmaxm=0.3, s=50, backbone=Thin ResNet-342020.032.8
AAM-Softmaxm=0.1, s=15, backbone=Fast ResNet-342020.032.8
AM-Softmaxm=0.1, s=15, backbone=Thin ResNet-342020.032.81
AM-Softmaxm=0.4, s=30, backbone=Thin ResNet-342020.032.81
PrototypicalM=4, backbone=Thin ResNet-342020.032.83
AM-Softmaxm=0.2, s=15, backbone=Thin ResNet-342020.032.85
Tripletm=0.3, CHNM=true, backbone=Fast ResNet-342020.032.85
AAM-Softmaxm=0.2, s=15, backbone=Thin ResNet-342020.032.88
AAM-Softmaxm=0.1, s=50, backbone=Thin ResNet-342020.032.88
PrototypicalM=4, backbone=Fast ResNet-342020.032.89
Angular PrototypicalM=5, backbone=Fast ResNet-342020.032.9
AAM-Softmaxm=0.3, s=15, Curriculum=true, backbone=Thin ResNet-342020.032.91
AM-Softmaxm=0.4, s=50, backbone=Thin ResNet-342020.032.96
Tripletm=0.4, CHNM=true, backbone=Fast ResNet-342020.032.96
AAM-Softmaxm=0.2, s=15, backbone=Fast ResNet-342020.032.98
AM-Softmaxm=0.1, s=50, backbone=Thin ResNet-342020.032.99
Angular PrototypicalM=5, backbone=Thin ResNet-342020.033
AAM-Softmaxm=0.3, s=15, Curriculum=true, backbone=Fast ResNet-342020.033.04
AM-Softmaxm=0.2, s=15, backbone=Fast ResNet-342020.033.05
AM-Softmaxm=0.3, s=15, backbone=Thin ResNet-342020.033.08
AM-Softmaxm=0.3, s=15, backbone=Fast ResNet-342020.033.08
AM-Softmaxm=0.4, s=15, backbone=Thin ResNet-342020.033.09
AAM-Softmaxm=0.3, s=15, backbone=Thin ResNet-342020.033.16
PrototypicalM=5, backbone=Fast ResNet-342020.033.21
AM-Softmaxm=0.4, s=15, backbone=Fast ResNet-342020.033.25
PrototypicalM=5, backbone=Thin ResNet-342020.033.33
GE2EM=10, backbone=Fast ResNet-342020.033.55
GE2EM=10, backbone=Thin ResNet-342020.033.68
Angular PrototypicalM=2, backbone=VGG-M-402020.034.29
Angular PrototypicalM=3, backbone=VGG-M-402020.034.3
GE2EM=3, backbone=VGG-M-402020.034.4
GE2EM=4, backbone=VGG-M-402020.034.49
Angular PrototypicalM=4, backbone=VGG-M-402020.034.53
PrototypicalM=2, backbone=VGG-M-402020.034.59
GE2EM=2, backbone=VGG-M-402020.034.6
AAM-Softmaxm=0.2, s=30, backbone=VGG-M-402020.034.64
AAM-Softmaxm=0.1, s=30, backbone=VGG-M-402020.034.67
Tripletm=0.2, CHNM=true, backbone=VGG-M-402020.034.67
AAM-Softmaxm=0.3, s=30, Curriculum=true, backbone=VGG-M-402020.034.69
GE2EM=5, backbone=VGG-M-402020.034.69
PrototypicalM=3, backbone=VGG-M-402020.034.73
Angular PrototypicalM=5, backbone=VGG-M-402020.034.73
AM-Softmaxm=0.1, s=30, backbone=VGG-M-402020.034.76
AAM-Softmaxm=0.1, s=15, backbone=VGG-M-402020.034.81
Tripletm=0.3, CHNM=true, backbone=VGG-M-402020.034.84
Tripletm=0.4, CHNM=true, backbone=VGG-M-402020.034.84
AM-Softmaxm=0.1, s=15, backbone=VGG-M-402020.034.86
AAM-Softmaxm=0.3, s=50, Curriculum=true, backbone=VGG-M-402020.034.86
Tripletm=0.1, CHNM=true, backbone=VGG-M-402020.034.86
AM-Softmaxm=0.2, s=30, backbone=VGG-M-402020.034.88
AAM-Softmaxm=0.2, s=15, backbone=VGG-M-402020.034.88