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zehralx/deepfake_audio_wav2vec
deepfake_audio_wav2vec is a audio classification model from zehralx. Use it for the audio classification task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
Downloads · 30 days
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16% of all-time downloads
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.pt4.3 GB · 62%
From the Hugging Face model README
{
"model-index": [
{
"name": "wav2vec2-audio-classification-v1-test",
"results": [
{
"task": {
"type": "audio-classification",
"name": "Audio Classification"
},
"dataset": {
"name": "./audio_classification",
"type": "audio",
"config": "default"
},
"metrics": [
{
"type": "accuracy",
"name": "Accuracy",
"value": 0.9633333333333334
}
]
}
]
}
]
}
Confusion Matrix
| spoof | bona-fide | |
|---|---|---|
| spoof | 95 | 11 |
| bona-fide | 0 | 194 |
Per-class Accuracy
| Class | Accuracy |
|---|---|
| spoof | 0.8962 |
| bona-fide | 1.0000 |
Classification Report
precision recall f1-score support
spoof 1.0000 0.8962 0.9453 106
bona-fide 0.9463 1.0000 0.9724 194
accuracy 0.9633 300
macro avg 0.9732 0.9481 0.9589 300
weighted avg 0.9653 0.9633 0.9628 300