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Speaker Verification On Voxceleb1

Metrics

EER

Results

Performance results of various models on this benchmark

Model Name
EER
Paper TitleRepository
ReDimNet-B4-LM-ASNorm (6.3M)0.44Reshape Dimensions Network for Speaker Recognition
ReDimNet-B4-LM (6.3M)0.51Reshape Dimensions Network for Speaker Recognition
ReDimNet-B1-LM (2.2M)0.85Reshape Dimensions Network for Speaker Recognition
Fine-tuned HuBERT Large2.36A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding-
ReDimNet-B6-SF2-LM-ASNorm (15.0M)0.37Reshape Dimensions Network for Speaker Recognition
SpeechNAS1.02SpeechNAS: Towards Better Trade-off between Latency and Accuracy for Large-Scale Speaker Verification
ReDimNet-B2-SF2-LM-ASNorm (4.7M)0.52Reshape Dimensions Network for Speaker Recognition
ReDimNet-B3-LM-ASNorm (3.0M)0.47Reshape Dimensions Network for Speaker Recognition
ReDimNet-B5-SF2-LM (9.2M)0.43Reshape Dimensions Network for Speaker Recognition
ReDimNet-B1-LM-ASNorm (2.2M)0.73Reshape Dimensions Network for Speaker Recognition
ReDimNet-B5-SF2-LM-ASNorm (9.2M)0.39Reshape Dimensions Network for Speaker Recognition
ReDimNet-B0-LM (1.0M)1.16Reshape Dimensions Network for Speaker Recognition
ReDimNet-B3-LM (3.0M)0.5Reshape Dimensions Network for Speaker Recognition
ReDimNet-B0-LM-ASNorm (1.0M)1.07Reshape Dimensions Network for Speaker Recognition
ReDimNet-B6-SF2-LM (15.0M)0.4Reshape Dimensions Network for Speaker Recognition
ReDimNet-B2-SF2-LM (4.7M)0.57Reshape Dimensions Network for Speaker Recognition
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