How CloneX Works
Step 1: Deep Learning Detection
Employs neural networks to detect irregularities consistent with voice synthesis.
Utilizes spectrogram analysis to identify subtle, imperceptible changes in audio waves.
Step 2: Instant Alerts
Flags potential threats in real-time.
Sends alerts to administrators or relevant personnel, along with confidence levels and supporting analysis.
Step 3: Continuous Improvement
Learns from flagged and confirmed threats to improve detection accuracy.
Incorporates feedback from users and threat intelligence sources.
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