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Patent drawing for Deepfake detection
US 12,525,224 B2
Machine learning US 12,525,224 B2 Not in force

Deepfake detection

This invention describes a system that identifies fake voices, called deepfakes, during phone calls. It does this by transcribing the call and using artificial intelligence to analyze the text for unusual patterns, such as inconsistencies in who is speaking or how the conversation fits together. It can also check the voice itself for signs of being machine-generated or replayed, and it learns to adapt to new types of fakes. The claims specifically narrow the invention to using text analysis to verify who is speaking or to assess how well the caller's text fits the conversation's context.

Why it matters: Filed in 2023, just as generative AI for speech and text was rapidly advancing. The increased sophistication and prevalence of deepfakes since then make this invention's adaptive model and NLP-based anomaly detection more critical, and potentially more effective with today's advanced AI tools.

Status
Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build
SpecializedHeavy software system, machine learning, NLP

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