False Rejection Rate (FRR) measures how often a voice authentication system incorrectly rejects an authorized user. It reflects the balance between system security and user convenience during voice verification.
Voice AI platforms optimize FRR to reduce customer frustration while maintaining strong authentication security. Achieving an appropriate balance between FAR and FRR is essential for production voice biometric systems.