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Deepfake-audio-detection – AI Model by Hemgg | AlphaNeural AI
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Hemgg
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Deepfake-audio-detection
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transformers
safetensors
wav2vec2
audio-classification
generated_from_trainer
audiofolder
facebook/wav2vec2-base
finetune
apache-2.0
model-index
endpoints_compatible
us
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deeepfake-audio-Recognition
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
Model description
The model is fintune on facebook/wav2vec2-base
Intended uses & limitations
The model still needs 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
