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Speaker Identification on SID

94.8AccuracyAudio-MAE (local)
38.95253.45167.9582.449Oct 19, 2021Mar 25, 2022Aug 29, 2022Feb 3, 2023Jul 10, 2023Dec 14, 2023May 20, 2024

Evaluation results

MethodLinks
Audio-MAE (local)Backbone=ViT-B, PT-Data=AS2022.0794.8
Audio-MAE (global)Backbone=ViT-B, PT-Data=AS2022.0794.1
HuBERTEvaluation protocol=Frozen setting2021.1081.4
HuBERTBackbone=Transformer, PT-Data=LS, Evaluation Protocol=Linear Evaluation2022.0781.4
HuBERTfrozen setting=true2024.0581.4
SSAST-FramePre-training data=AudioSet + Librispeech, Patch type=Frame-based2021.1080.8
Wav2vec 2.0Evaluation protocol=Frozen setting2021.1075.2
wav2vec 2.0Backbone=Transformer, PT-Data=LS, Evaluation Protocol=Linear Evaluation2022.0775.2
Wav2Vec 2.0frozen setting=true2024.0575.2
SSAMBA-base2024.0570.1
SSAMBAModel size=base, Pretrained=true, Head learning rate=normal2024.0570.1
SSASTModel size=base, Pretrained=true, Head learning rate=normal2024.0568.8
SSAMBA-small2024.0567.9
SSAMBAModel size=small, Pretrained=true, Head learning rate=larger2024.0567.9
SSASTModel size=small, Pretrained=true, Head learning rate=larger2024.0567
SSAMBA-tiny2024.0566.1
SSAMBAModel size=tiny, Pretrained=true, Head learning rate=larger2024.0566.1
SSAST-PatchPre-training data=AudioSet + Librispeech, Patch type=Patch-based2021.1064.3
SS-ASTBackbone=ViT-B, PT-Data=AS+LS2022.0764.3
SSASTModel size=tiny, Pretrained=true, Head learning rate=larger2024.0564.3
MAE-ASTBackbone=ViT-B, PT-Data=AS+LS2022.0763.3
SSAST-PatchPre-training data=Librispeech Only, Patch type=Patch-based2021.1060.8
APCPre-training framework=Generative/Autoregressive2021.1060.4
APC2024.0560.4
Wav2vecPre-training framework=Discriminative2021.1056.6
Wav2Vec2024.0556.6
SSAMBAModel size=base, Pretrained=false, Head learning rate=normal2024.0553.6
SSAMBAModel size=small, Pretrained=false, Head learning rate=larger2024.0551.5
SSAMBAModel size=tiny, Pretrained=false, Head learning rate=larger2024.0550.1
ASTBackbone=DeiT-B, PT-Data=IN2022.0741.1