An Audio Anti-Spoofing Model is a machine learning system designed to detect and differentiate between genuine human speech and various forms of synthetic or manipulated speech, known as spoofing attacks.
Audio anti-spoofing models are AI systems that protect voice-based technologies by telling the difference between real human speech and fake, computer-generated, or recorded voices. They are essential for securing voice authentication and ensuring that only genuine users can access systems through their voice.
Speech anti-spoofing, Voice anti-spoofing, Spoof detection, ASV anti-spoofing
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