Deepfake Audio Detection

🚀 Deeepfake-audio-Recognition

This model is a fine - tuned version of facebook/wav2vec2-base on the audiofolder dataset, aiming to provide high - accuracy audio classification.

🚀 Quick Start

This model is a fine - tuned version of facebook/wav2vec2-base on the audiofolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.2288
• Accuracy: 0.9545

✨ Features

• Fine - tuned on Base Model: The model is fine - tuned on facebook/wav2vec2-base.
• High Accuracy: Achieves an accuracy of 0.9545 on the evaluation set.

📚 Documentation

Model description

• The model is fine - tuned on facebook/wav2vec2-base.

Intended uses & limitations

• The model still needs more dataset to increase model accuracy.

Training and evaluation data

• The model is trained on multi - ethnic English dataset.
• The input audio dataset is about 16KHz.

Framework versions

• Transformers 4.39.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2

📄 License

This model is licensed under the Apache 2.0 license.

📦 Model Information