Voice biometric systems extract unique speaker-specific features from audio samples to create a “voiceprint” or “voice signature.” When a new voice sample is provided, the system compares it to the enrolled voiceprint using pattern-matching techniques to authenticate the speaker.
Voice biometrics leverages a range of features from speech. Low-level features are short segments of sound—like the unique way air flows through a speaker’s vocal tract—captured in as little as 20 milliseconds. High-level features, such as speech habits or language patterns, are derived from longer stretches of speech. While both are useful, research shows low-level features are more efficient for voice biometrics as they closely relate to the speaker’s physical attributes.