Paper debunks 'voiceprint' as unique biometric identifier

A new paper argues that the concept of a 'voiceprint' as a unique and stable biometric identifier is a fallacy. The authors explain that human voices are highly dynamic and context-dependent, making them unreliable for direct identification like a fingerprint. They advocate for interpreting voice evidence through probabilistic frameworks that account for variability and uncertainty, especially in light of advancements in deepfake speech technology. AI

IMPACT Challenges the reliability of voice-based AI systems and biometric identification methods.

RANK_REASON Academic paper published on arXiv discussing a scientific concept. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

• deepfake speech
• fingerprint
• forensic voice experts
• probabilistic frameworks
• speaker recognition
• Voiceprint Records
• voice variability

• paper
• safety

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