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---
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language:
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- en
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license: apache-2.0
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tags:
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- hyperion
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- audio
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- speech
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- speaker-recognition
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- x-vector
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- thin-resnet34
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datasets:
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- voxceleb
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metrics:
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- eer
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- min_dcf-p=0.05
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- min_dcf-p=0.01
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model-index:
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- name: voxceleb-v1.1-fbank80_stmn_lresnet34_e256_arcs30m0.3_do0_adam_lr0.05_b512.v1
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results:
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- task:
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type: speaker-verification
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name: Speaker Verification
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dataset:
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type: voxceleb1
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name: Voxceleb1
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args: Train on VoxCeleb2-dev
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metrics:
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- type: eer
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value: 2.11
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name: EER Vox1-O
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- type: min_dcf-p=0.05
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value: 0.135
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name: Minimum DCF Vox1-O prior=0.05
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- type: act_dcf-p=0.01
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value: 0.208
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name: Minimum DCF Vox1-O prior=0.01
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- type: eer
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value: 1.93
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name: EER Vox1-E
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- type: min_dcf-p=0.05
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value: 0.121
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name: Minimum DCF Vox1-E prior=0.05
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- type: act_dcf-p=0.01
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value: 0.204
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name: Minimum DCF Vox1-E Original prior=0.01
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- type: eer
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value: 3.21
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name: EER Vox1-H
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- type: min_dcf-p=0.05
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value: 0.190
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name: Minimum DCF Vox1-H prior=0.05
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- type: act_dcf-p=0.01
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value: 0.298
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name: Minimum DCF Vox1-H Original prior=0.01
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---
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# Hyperion Toolkit Speaker Verification pre-trained Model
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## Model Configuration
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This model was trained using recipe [voxceleb/v1.1](https://github.com/hyperion-ml/hyperion/tree/master/egs/voxceleb/v1.1)
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The configuration for this modeis is defined in
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[config_fbank80_stmn_lresnet34_arcs30m0.3_adam_lr0.05_amp.v1.sh](https://github.com/hyperion-ml/hyperion/blob/master/egs/voxceleb/v1.1/global_conf/config_fbank80_stmn_lresnet34_arcs30m0.3_adam_lr0.05_amp.v1.sh)
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This is an x-vector model with:
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- 80 logMel filter-banks with short-time mean normalization.
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- ThinResNet34 (aka Light ResNet34) encoder.
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- Mean+Stddev pooling
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- AAM-softmax loss (m=0.3, s=30)
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- Mixed prec. training.
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