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Deepfakewav2vec2

This model is a fine tuning for the deepfake audio classification task.

ArtOtherBasismodellalefiury/wav2vec2-large-xlsr-53-gender-recognition-librispeechVersionRevision 5f81ffdBBewertung

Modellquelle

Art
Other
Dateigröße
1,18 GB
Basismodell
alefiury/wav2vec2-large-xlsr-53-gender-recognition-librispeech
Version
vRevision 5f81ffd
Aktualisiert
19. Okt. 2026
Downloads
39
Quelle
Hugging Face

Quellenbeschreibung

This model is a fine tuning for the deepfake audio classification task.

It achieves the following results on its evalutation data:

  • F1: 0.95

  • Loss: 0.4056

It achieves the following results on ASVspoof2019 evaluation subset:

  • Accuracy:0.9286

  • Precision:0.9999

  • Recall:0.9205

  • F1-Score:0.9363

  • Equal Error Rate (EER): 0.0401

Quellen

1 Quelle
Hugging FacePrimärVersion 5f81ffdbc0a6ba1e516bf35ce0135fbbd8b5b7fd
huggingface.co/OBITO03/Deepfakewav2vec2/tree/5f81ffdbc0a6ba1e516bf35ce0135fbbd8b5b7fd

Verifiziert 19. Okt.

Modellartefakte

1 Artefakt

model.safetensors

safetensors · 1,18 GB · SHA-256 8bff7244579a…9b90 · Hugging Face

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Quellenauszüge

3 Auszüge

--- license: apache-2.0 pipeline_tag: audio-classification base_model: alefiury/wav2vec2-large-xlsr-53-gender-recognition-librispeech --- This model is a fine tuning for the deepfake audio classification task. It achieves the following results on its evalutation data: * F1: 0.95 * Loss: 0.4056 It achieves the following results on [ASVspoof2019](https://www.kaggle.com/datasets/awsaf49/asvpoof-2019-dataset) evaluation subset: * Accuracy:0.9286 * Precision:0.9999 * Recall:0.9205 * F1-Score:0.9363 * Equal Error Rate (EER): 0.0401

Source context: 39 downloads · 1 likes · Pipeline audio-classification · Repo OBITO03/Deepfakewav2vec2

Source context: 7 downloads · 1 likes · Pipeline audio-classification · Repo OBITO03/Deepfakewav2vec2