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--- |
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license: apache-2.0 |
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datasets: |
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- Codec-SUPERB/Voxceleb1_test_original |
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language: |
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- en |
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base_model: |
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- facebook/wav2vec2-base |
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model-index: |
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- name: Speaker_Recognition_with_fine_tuned_Wav2Vec2 |
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results: |
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- task: |
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type: audio-classification |
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name: Audio Classification |
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dataset: |
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name: Voxceleb1 |
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type: Codec-SUPERB/Voxceleb1_test_original |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.95528 |
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- name: Precision |
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type: precision |
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value: 0.937891 |
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- name: Recall |
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type: recall |
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value: 0.944353 |
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- name: F1 |
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type: f1 |
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value: 0.938486 |
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- name: EER |
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type: eer |
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value: 0.013731 |
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pipeline_tag: audio-classification |
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library_name: transformers |
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tags: |
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- audio-classification |
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- speech-recognition |
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- wav2vec2 |
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- english |
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metrics: |
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- accuracy |
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- precision |
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- f1 |
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--- |
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# Speaker_Recognition_with_fine_tuned_Wav2Vec2 |
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### Downstream Use |
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Speaker Recognition on the Voxceleb1['test'] split |
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## Training Details |
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### Training Data |
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Training is carried out on [Voxceleb1](https://huggingface.co/datasets/Codec-SUPERB/Voxceleb1_test_original) |
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## Evaluation |
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| Metric | Value | |
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|:---------:|:--------:| |
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| Accuracy | 0.985641 | |
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| Precision | 0.984270 | |
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| Recall | 0.983071 | |
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| F1-score | 0.983118 | |
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| EER | 0.003487 | |
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### Testing Data, Factors & Metrics |
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#### Testing Data |
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| Metric | Value | |
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|:---------:|:--------:| |
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| Accuracy | 0.95528 | |
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| Precision | 0.937891 | |
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| Recall | 0.944353 | |
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| F1-score | 0.938486 | |
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| EER | 0.013731 | |
