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Wav2vec2 Base ASVSpoof5 TUC N
A voice anti-spoofing detection model fine-tuned based on wav2vec2-base, achieving 88.89% accuracy on the evaluation set
Downloads 20
Release Time : 6/20/2024
Model Overview
This model is an optimized version for voice anti-spoofing detection tasks, fine-tuned based on Facebook's wav2vec2-base architecture, suitable for identifying synthetic or deceptive speech
Model Features
High Accuracy Detection
Achieves 88.89% accuracy on the test set, effectively identifying deceptive speech
Fine-tuned with wav2vec2
Optimized using the powerful speech feature extraction capabilities of wav2vec2-base
Lightweight Solution
Compared to the full wav2vec2 model, this model is optimized for specific tasks with higher computational efficiency
Model Capabilities
Voice Anti-Spoofing Detection
Synthetic Speech Recognition
Deceptive Speech Analysis
Use Cases
Security Verification
Voice Payment Anti-Fraud
Detects synthetic speech attacks in voice payment scenarios
Can intercept 88.89% of deceptive voice commands
Enhanced Identity Authentication
Serves as an additional security layer for biometric recognition
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