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Speaker Verification on VoxCeleb1 (Vox1-H)

0.55EERLoRA Adapter MFA
0.29362.02433.7555.4857Oct 26, 2021Aug 8, 2022May 21, 2023Mar 2, 2024Dec 13, 2024Sep 25, 2025Jul 8, 2026

Evaluation results

MethodLinks
LoRA Adapter MFAFrontend=w2v-BERT 2.0, Params=580+6.2M, LMFT=true, Score calibration=true2025.100.550.051——————
ResNet293Frontend=Fbank, Params=98.9M, LMFT=true, Score calibration=true2025.100.680.07——————
LoRA Adapter MFAFrontend=w2v-BERT 2.0, Params=580+6.2M, LMFT=true, Score calibration=false2025.100.730.071——————
W2V-BERT 2.0Params=587M, GMACs=57.90, Large-Margin Finetuning=-, Training Data=VoxBlink2 + VoxCeleb22026.030.73———————
LoRA Adapter MFAFrontend=w2v-BERT 2.0, Params=580+6.2M, LMFT=false, Score calibration=false2025.100.810.082——————
SimAM-ResNet100Params=50.2M, GMACs=57.24, Large-Margin Finetuning=-, Training Data=VoxBlink2 + VoxCeleb22026.030.87———————
CA-MHFAFrontend=WavLM Large, Params=317+2.3M, LMFT=true, Score calibration=true2025.100.96———————
ECAPA-TDNNScoring=Cosine scoring2026.030.96———————
WavLM LargeLarge margin fine-tuning=true, Quality-aware score calibration=true2021.100.986———————
ECAPA-TDNN(C=512)Frontend=WavLM Large, Params=317+8.8M, LMFT=true, Score calibration=true2025.100.99———————
ReDimNet2-B6Params=12.3M, GMACs=13.05, Large-Margin Finetuning=Yes, Training Data=VoxCeleb2-dev2026.030.99———————
ReDimNet-B6Frontend=Fbank, Params=15.0M, LMFT=true, Score calibration=true2025.1010.097——————
LAP+ASTPFrontend=WavLM Large, Params=317+2.3M, LMFT=true, Score calibration=true2025.101.010.099——————
ReDimNet-B6Params=15.0M, GMACs=20.27, Large-Margin Finetuning=Yes, Training Data=VoxCeleb2-dev2026.031.05———————
W2V-BERT 2.0Params=587M, GMACs=57.90, Large-Margin Finetuning=Yes, Training Data=VoxCeleb2-dev2026.031.06———————
ReDimNet2-B4Params=6.6M, GMACs=4.62, Large-Margin Finetuning=Yes, Training Data=VoxCeleb2-dev2026.031.07———————
ReDimNet2-B5Params=8.9M, GMACs=9.62, Large-Margin Finetuning=Yes, Training Data=VoxCeleb2-dev2026.031.07———————
ReDimNet-B5Params=9.2M, GMACs=9.87, Large-Margin Finetuning=Yes, Training Data=VoxCeleb2-dev2026.031.08———————
SimAM-ResNet34Params=25.2M, GMACs=18.20, Large-Margin Finetuning=-, Training Data=VoxBlink2 + VoxCeleb22026.031.12———————
KiwanoBackbone Architecture=fwSE-ResNet-2002026.061.13———————
ECAPA-TDNN(C=512)Frontend=Wav2Wec2.0 Large, Params=317+8.8M, LMFT=true, Score calibration=true2025.101.14———————
ECAPA2Params=27.1M, GMACs=187.0*, Large-Margin Finetuning=Yes, Training Data=VoxCeleb2-dev2026.031.15———————
ECAPA-TDNN(C=512)Frontend=UniSpeech-SAT Large, Params=317+8.8M, LMFT=true, Score calibration=true2025.101.18———————
ResNet221Frontend=Fbank, Params=23.8M, LMFT=true, Score calibration=true2025.101.21———————
ReDimNet2-B3Params=4.1M, GMACs=2.70, Large-Margin Finetuning=Yes, Training Data=VoxCeleb2-dev2026.031.22———————
ECAPA-TDNN(C=512)Frontend=HuBERT Large, Params=317+8.8M, LMFT=true, Score calibration=true2025.101.23———————
ReDimNet-B4Params=6.3M, GMACs=4.80, Large-Margin Finetuning=Yes, Training Data=VoxCeleb2-dev2026.031.26———————
ResNet293Params=28.6M, GMACs=28.10, Large-Margin Finetuning=Yes, Training Data=VoxCeleb2-dev2026.031.3———————
WeSpeakerBackbone Architecture=ResNet-2932026.061.31———————
WavLM Large2021.101.318———————
ReDimNet-B2Params=4.7M, GMACs=0.90, Large-Margin Finetuning=Yes, Training Data=VoxCeleb2-dev2026.031.32———————
ReDimNet-B3Params=3.0M, GMACs=3.00, Large-Margin Finetuning=Yes, Training Data=VoxCeleb2-dev2026.031.33———————
WavLMParams=324M, GMACs=26.53, Large-Margin Finetuning=Yes, Training Data=VoxCeleb2-dev2026.031.34———————
HuBERT LargeLarge margin fine-tuning=true, Quality-aware score calibration=true2021.101.342———————
MFAFrontend=Nemo Large, Params=131M, LMFT=true, Score calibration=true2025.101.350.135——————
ReDimNet2-B2Params=3.6M, GMACs=0.95, Large-Margin Finetuning=Yes, Training Data=VoxCeleb2-dev2026.031.41———————
3D-SpeakerBackbone Architecture=ERes2Net-large-lm2026.061.44———————
ERes2NetV2Frontend=Fbank, Params=17.8M, LMFT=true, Score calibration=false2025.101.450.143——————
SpeakerCard-1MRegime=audio only2026.061.58———————
Gemini-DFResNet114Params=6.5M, GMACs=5.42, Large-Margin Finetuning=No, Training Data=VoxCeleb2-dev2026.031.6———————
TRKDTeacher Model=ReDim-B5, Student Model=ReDim-B22026.011.644———————
CAM++Params=7.2M, GMACs=1.15, Large-Margin Finetuning=Yes, Training Data=VoxCeleb2-dev2026.031.66———————
HuBERT Large2021.101.678———————
ReDimNet2-B1Params=2.1M, GMACs=0.56, Large-Margin Finetuning=Yes, Training Data=VoxCeleb2-dev2026.031.72———————
ReDimNet-B1Params=2.2M, GMACs=0.54, Large-Margin Finetuning=Yes, Training Data=VoxCeleb2-dev2026.031.73———————
WavLM-Base SV2026.061.75———————
WavLM Base+2021.101.758———————
CAM++Frontend=Fbank, Params=7.2M, LMFT=false, Score calibration=false2025.101.760.173——————
ECAPA512 + U^3-xi# Param.=6.69 M, Loss=USphereFace2 (1)+(4), Uncertainty-aware cosine score=true2026.071.7710.178—————12.81
ECAPA512 + U^3-xi# Param.=6.69 M, Loss=UAM-Softmax (1)+(4), Uncertainty-aware cosine score=true2026.071.7940.178—————19.46
NeXt-TDNN (C=256)Params=7.1M, GMACs=1.35*, Large-Margin Finetuning=No, Training Data=VoxCeleb2-dev2026.031.82———————
ECAPA512 + U^3-xi# Param.=6.69 M, Loss=UAAM-Softmax (1)+(4), Uncertainty-aware cosine score=true2026.071.8330.189—————21.22
Teacher (w/o KD)Teacher Model=ECAPA1024, Student Model=ECAPA4002026.011.839———————
NeXt-TDNN-l (C=256)Params=6.0M, GMACs=1.13*, Large-Margin Finetuning=No, Training Data=VoxCeleb2-dev2026.031.86———————
CAM++# Param.=7.2 M, Uncertainty-aware cosine score=false2026.071.8630.179——————
ECAPA-TDNN2026.061.87———————
ECAPA512 + U^3-xi# Param.=6.69 M, Loss=UAAM-Softmax (1)+(2), Uncertainty-aware cosine score=true2026.071.8790.19—————18.53
ChebyAAMObjective=ChebyAAM, Backbone=ECAPA-TDNN2026.011.90080.196——————
ECAPA512 + U^3-xi# Param.=6.69 M, Loss=USphereFace2 (1)+(4), Uncertainty-aware cosine score=false2026.071.9180.196—————5.21
ECAPA512 + U^3-xi# Param.=6.69 M, Loss=UAAM-Softmax (1) [22], Uncertainty-aware cosine score=true2026.071.9260.191—————14.95
ResNet34# Param.=6.63 M, Uncertainty-aware cosine score=false2026.071.960.192——————
ECAPA512# Param.=6.19 M, Loss=SphereFace2 [37], [38], Uncertainty-aware cosine score=false2026.071.9670.199——————
AAM-SoftmaxObjective=AAM-Softmax, Backbone=ECAPA-TDNN2026.011.96810.1989——————
ReDimNet2-B0Params=1.1M, GMACs=0.33, Large-Margin Finetuning=Yes, Training Data=VoxCeleb2-dev2026.031.97———————
ECAPA512 + U^3-xi# Param.=6.69 M, Loss=UAM-Softmax (1)+(4), Uncertainty-aware cosine score=false2026.071.9730.186—————11.46
Gemini SD-ResNet38# Param.=6.72 M, Uncertainty-aware cosine score=false2026.071.9740.185——————
ECAPA512 + U^3-xi# Param.=6.69 M, Loss=UAAM-Softmax (1)+(4), Uncertainty-aware cosine score=false2026.071.9780.195—————13.4
NeXt-TDNN (C=128)Params=1.9M, GMACs=0.35*, Large-Margin Finetuning=No, Training Data=VoxCeleb2-dev2026.031.98———————
TRKDTeacher Model=ECAPA1024, Student Model=ECAPA4002026.012.001———————
ECAPA512 + U^3-xi# Param.=6.69 M, Loss=UAAM-Softmax (1) [22], Uncertainty-aware cosine score=false2026.072.0060.199—————10.6
TRKDTeacher Model=RN152, Student Model=MNV22026.012.016———————
ECAPA512 + U^3-xi# Param.=6.69 M, Loss=UAAM-Softmax (1)+(2), Uncertainty-aware cosine score=false2026.072.0360.202—————9.26
ECAPA1024# Param.=14.65 M, Uncertainty-aware cosine score=false2026.072.0590.205——————
Teachersource=Wespeaker2026.072.060.205——————
SpeakerCard-1MRegime=balanced2026.062.07———————
ECAPA512 + U^3-xi# Param.=6.69 M, Loss=UAAM-Softmax (3), Uncertainty-aware cosine score=true2026.072.0930.205—————9.05
ECAPA512 + U^3-xi# Param.=6.69 M, Loss=UAAM-Softmax (3), Uncertainty-aware cosine score=false2026.072.1140.206—————8.32
ECAPA-TDNN(C=1024)Frontend=Fbank, Params=14.7M, LMFT=false, Score calibration=false2025.102.120.21——————
NeXt-TDNN-l (C=128)Params=1.6M, GMACs=0.29*, Large-Margin Finetuning=No, Training Data=VoxCeleb2-dev2026.032.12———————
ECAPA-TDNNimplementation=reproduction2021.102.127———————
AM-SoftmaxObjective=AM-Softmax, Backbone=ECAPA-TDNN2026.012.14480.2131——————
TRKDTeacher Model=SAM-RN50, Student Model=R2N342026.012.178———————
SA-TinyLLaMAScoring=Log-likelihood based scoring2026.032.2———————
ReDimNet-B0Params=1.0M, GMACs=0.43, Large-Margin Finetuning=Yes, Training Data=VoxCeleb2-dev2026.032.2———————
ECAPA (C=512)Params=6.2M, GMACs=1.04, Large-Margin Finetuning=No, Training Data=VoxCeleb2-dev2026.032.2———————
HuBERT Base2021.102.216———————
ECAPA512# Param.=6.19 M, Loss=AM-Softmax [35], [36], Uncertainty-aware cosine score=false2026.072.2540.221——————
ECAPA512# Param.=6.19 M, Loss=AAM-Softmax [30], Uncertainty-aware cosine score=false2026.072.310.226——————
ECAPA-TDNN2021.102.32———————
SpeakerCard-1MRegime=retrieval-spec.2026.062.38———————
CFKDBitrate=24 kbps, Backbone=ECAPA-TDNN1024, lambda=402026.072.390.23——————
TRKDTeacher Model=RN34, Student Model=RN182026.012.461———————
Student (w/o KD)Teacher Model=ECAPA1024, Student Model=ECAPA4002026.012.607———————
CFKDBitrate=12 kbps, Backbone=ECAPA-TDNN1024, lambda=402026.072.620.25——————
A-SoftmaxObjective=A-Softmax, Backbone=ECAPA-TDNN2026.012.87320.2954——————
TRKDTeacher Model=CAM++, Student Model=X-vector2026.013.164———————
SA-TinyLLaMAScoring=Log-likelihood based scoring, Variant=XS2026.033.44———————
CFKDBitrate=6 kbps, Backbone=ECAPA-TDNN1024, lambda=402026.073.560.325——————
SA-TinyLLaMAScoring=Log-likelihood based scoring, Backbone=Frozen2026.036.6———————
CFKDBitrate=3 kbps, Backbone=ECAPA-TDNN1024, lambda=402026.076.960.543——————