Voice Biometric Liveness Detection System
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Solution Overview
Problem
Conventional voice biometric systems using text-dependent methods are vulnerable to security breaches, such as eavesdropping and voice phishing, as they rely on specific phrases that can be intercepted and replayed by attackers, compromising authentication processes.
Innovation Solution
The implementation of a method that combines text-dependent and text-independent voice biometrics, along with Automatic Speech Recognition, to generate matching scores and a liveness score by comparing voice samples across enrollment and authentication stages, utilizing pseudo-random phrases and intra-session voice variation to verify the authenticity and humanity of the speaker.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If text-dependent voice biometric methods are used for speaker recognition, then the authentication process is simplified and user experience is improved, but the system becomes vulnerable to security breaches such as eavesdropping and voice phishing attacks
Solution Approach 1:
The patent combines text-dependent voice biometric authentication with liveness detection technology into a unified system. The authentication process integrates both the textual content verification (text-dependent) and the speaker's physiological state verification (liveness detection), creating a multi-layered security approach that maintains ease of use while significantly improving security against replay and phishing attacks
Solution Approach 2:
The patent introduces liveness detection as an intermediary layer between the user and the authentication system. This intermediary verifies the speaker's physiological state (such as detecting natural voice characteristics, breathing patterns, or other biometric indicators) before granting access, thereby preventing unauthorized access from recorded or synthesized voice samples while maintaining the simplicity of text-dependent authentication
2Measurement precision
If traditional multi-session enrollment procedures are implemented for voice biometric systems, then the accuracy of speaker recognition is improved, but the time required for enrollment and system setup increases significantly
Solution Approach 1:
The patent performs liveness detection and voice characteristic analysis during the initial enrollment phase, capturing comprehensive biometric data in a single session. By conducting all necessary measurements and creating the voice profile upfront, the system eliminates the need for multiple enrollment sessions while ensuring high accuracy through thorough initial assessment
Solution Approach 2:
The patent implements continuous liveness monitoring throughout the authentication process, maintaining verification of the speaker's physiological state from enrollment through authentication. This continuous verification ensures high accuracy without requiring separate enrollment sessions, as the system continuously adapts and refines the voice profile based on ongoing biometric data
Data Source
AI summary
Device, system, and method of liveness detection using voice biometrics. For example, a method comprises: generating a first matching score based on a comparison between: (a) a voice-print from a first text-dependent audio sample received at an enrollment stage, and (b) a second text-dependent audio sample received at an authentication stage; generating a second matching score based on a text-independent audio sample; and generating a liveness score by taking into account at least the first matching score and the second matching score.