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Wav2vec2 Base 960h Finetuned Deepfake
A voice deepfake detection model fine-tuned on the ASVspoof2019 dataset based on facebook/wav2vec2-base-960h
Downloads 49
Release Time : 9/18/2022
Model Overview
This model is specifically designed to detect deepfake content in voice, achieving 99.98% accuracy on the ASVspoof2019 evaluation set.
Model Features
High Accuracy
Achieves 99.98% accuracy on the ASVspoof2019 evaluation set
Based on wav2vec2 Architecture
Utilizes the powerful wav2vec2-base-960h model for fine-tuning
Specialized Voice Forgery Detection
Optimized specifically for detecting deepfake voice content
Model Capabilities
Voice Forgery Detection
Audio Analysis
Use Cases
Security Detection
Voice Authentication Systems
Used to detect forged voices in voice authentication systems
Can effectively identify 99.98% of forged voices
Content Moderation
Social Media Content Moderation
Detects deepfake voice content on social media platforms
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