Voice Biometrics

Voice Biometrics uses a person’s vocal traits as a unique biometric identifier. Unlike traditional authentication methods (passwords or PINs), it leverages the natural characteristics of an individual’s voice, which are shaped by both physiological factors (vocal tract shape, pitch, timbre) and behavioral patterns (speaking style, intonation).

This technology supports two core use modes — Authentication and Identification — as well as two operational styles — Text-Dependent and Text-Independent — making it suitable for a wide variety of applications where both security and user convenience are paramount.

Key Features

Secure Authentication and Identification:
Use voice characteristics to verify user identity quickly, reducing the risk of fraud and unauthorized access.

Real-Time Processing:
Perform authentication in real time using optimized algorithms that deliver fast and reliable results.

Flexibility in Use Cases:
Choose between:

• Text-Dependent Mode: The user speaks a specific passphrase, ensuring high consistency for secure transactions.

• Text-Independent Mode: Offers flexibility by verifying identity from natural speech without requiring predetermined phrases.

Low Resource Footprint:
Optimized for low-power embedded systems—without compromising performance.

Operational Modes

Voice Biometrics can be applied in two different security workflows:

1. Authentication (1:1 Matching)

   • Confirms if the speaker is who they claim to be by comparing the voice sample to a single stored voiceprint.

   • Common in secure logins, transaction approvals, or device unlocking.

2. Identification (1:N Matching)

   • Determines who the speaker is by comparing the voice sample against a database of enrolled users.

   • Useful in call centers, access control systems, or multi-user environments.