README.md

metadata

license: apache-2.0
datasets:
  - Codec-SUPERB/Voxceleb1_test_original
language:
  - en
base_model:
  - facebook/wav2vec2-base
model-index:
  - name: Speaker_Recognition_with_fine_tuned_Wav2Vec2
    results:
      - task:
          type: audio-classification
          name: Audio Classification
        dataset:
          name: Voxceleb1
          type: Codec-SUPERB/Voxceleb1_test_original
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.95528
          - name: Precision
            type: precision
            value: 0.937891
          - name: Recall
            type: recall
            value: 0.944353
          - name: F1
            type: f1
            value: 0.938486
          - name: EER
            type: eer
            value: 0.013731
pipeline_tag: audio-classification
library_name: transformers
tags:
  - audio-classification
  - speech-recognition
  - wav2vec2
  - english
metrics:
  - accuracy
  - precision
  - f1

Speaker_Recognition_with_fine_tuned_Wav2Vec2

Downstream Use

Speaker Recognition on the Voxceleb1['test'] split

Training Details

Training Data

Training is carried out on Voxceleb1

Evaluation

Metric	Value
Accuracy	0.985641
Precision	0.984270
Recall	0.983071
F1-score	0.983118
EER	0.003487

Testing Data, Factors & Metrics

Testing Data

Metric	Value
Accuracy	0.95528
Precision	0.937891
Recall	0.944353
F1-score	0.938486
EER	0.013731