Voice Recognition
Voice recognition authenticates individuals based on their unique vocal characteristics like pitch, cadence, and spectral features.
Overview
Voice recognition systems analyze the physiological and behavioral traits of a person's speech to verify identity. They extract features such as Mel-frequency cepstral coefficients (MFCCs) and match them using statistical or deep-learning models. While highly convenient for remote authentication, voice recognition can be affected by background noise and requires robust anti-spoofing measures.
References
Vendors using Voice Recognition
Frequently Asked Questions
What is voice recognition?
Voice recognition authenticates individuals by analyzing unique vocal characteristics such as pitch, cadence, and spectral features.
How does voice recognition handle background noise?
Modern systems use noise reduction and robust feature extraction techniques to maintain accuracy in noisy environments.
What prevents voice spoofing in recognition systems?
Anti-spoofing measures include liveness detection, voice challenge-response prompts, and model training against replay attacks.