Narrative Authentication Using Vocal Biometrics
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Solution Overview
Problem
Conventional text-based passwords are difficult to recall, vulnerable to guessing and theft, and pose challenges for senior citizens, who are also targets of fraud due to their complexity and frequent changes, leading to security issues.
Innovation Solution
Narrative authentication uses a personal story as a vocal narrative, analyzed for content, voice signature, and emotion, with retelling and questioning to generate an authentication score, providing a secure and memorable alternative to traditional passwords.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If text-based passwords are used for authentication, then security verification can be performed, but the passwords are difficult to recall and vulnerable to guessing and theft
Solution Approach 1:
The patent replaces the mechanical/text-based password system with a vocal narrative system that uses voice biometrics and emotional analysis. The authentication process substitutes traditional text passwords with spoken personal stories, leveraging acoustic and emotional characteristics that are inherently harder to replicate while being more natural for users to provide.
Solution Approach 2:
The patent changes the authentication parameters from text-based credentials to multi-dimensional vocal characteristics including voice signature, emotion detection, and narrative content analysis. This transformation allows the system to authenticate users based on the complex interplay of acoustic features and emotional states, which are much harder to guess or steal compared to traditional passwords.
2Reliability
If complex passwords with frequent changes are implemented, then security is improved, but senior citizens face challenges and fraud targets increase
Solution Approach 1:
The vocal narrative authentication system leverages inherent user characteristics (voice and emotional expression) that automatically serve as security credentials. Unlike traditional systems requiring users to remember and periodically change complex passwords, the vocal system continuously authenticates based on the user's natural speech patterns and emotional state, eliminating the burden of password management while maintaining strong security.
3Measurement precision
If vocal narrative analysis is performed to determine content, voice signature, and emotion, then authentication accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent divides the vocal narrative analysis into distinct modular components: voice signature extraction, emotion detection, and narrative content analysis. Each component processes specific aspects of the vocal input independently, allowing the system to achieve high authentication accuracy through multiple analysis dimensions while managing complexity through functional segmentation.
Solution Approach 2:
The vocal narrative system serves multiple authentication functions simultaneously: verifying identity through voice biometrics, assessing emotional state for contextual authentication, and analyzing narrative content for uniqueness verification. This multi-functionality allows a single authentication mechanism to address multiple security requirements, improving accuracy without proportionally increasing overall system complexity.
Data Source
AI summary
Authentication is performed based on a user narrative. A narrative, such as a personal story, can be requested during a setup process. Content, voice signature, and emotion can be determined or inferred from analyzing the narrative. Subsequently, a user can provide vocal input associated with the narrative, such as by retelling the narrative or answering questions regarding the narrative. The vocal input can be analyzed for content, voice signature and emotion, and compared with the initial narrative. An authentication score can then generated based on the comparison.