Voiceprint Authentication for Social Network Identity Verification
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Solution Overview
Problem
Current social-networking systems lack efficient methods for user authentication and personalized content delivery, relying on password-based systems that are inconvenient and less secure compared to voice recognition technologies.
Innovation Solution
A social-networking system that records and analyzes user voices to generate digital voiceprints, allowing for voice-operated features, secure authentication, and personalized content delivery based on voiceprint analysis, while ensuring user privacy settings control data usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If password-based authentication is used, then user authentication can be performed, but user convenience and security are reduced compared to voice recognition
Solution Approach 1:
The patent replaces the mechanical interaction of typing passwords with acoustic interaction of voice recognition. The voiceprint authentication system captures acoustic signals from user speech, processes them through acoustical and language models, and performs biometric verification, substituting the manual password entry mechanism with an automated voice-based system that improves both security and convenience
2Reliability
If voiceprint analysis is implemented for user identification, then authentication security and convenience are improved, but system complexity increases
Solution Approach 1:
The voiceprint analysis system serves multiple functions: user authentication, user identification, and personalized content delivery. By creating a universal voice-based identification mechanism, the system replaces multiple separate functions (password verification, user login, profile matching) with a single voiceprint analysis capability, thereby managing complexity through functional consolidation rather than adding separate systems
3Adaptability or versatility
If voice data is collected and stored for voiceprint generation, then voice-operated features and authentication can be provided, but user privacy concerns increase
Solution Approach 1:
The system extracts only the essential voiceprint characteristics from the full voice data, storing the processed biometric template rather than the raw audio recordings. This extraction approach removes unnecessary personal information while retaining the authentication capability, thereby reducing privacy risks while maintaining voice-operated feature functionality
Data Source
AI summary
In one embodiment, a method includes, by one or more computing devices of an online social network, receiving, from a client system of a first user and from a second user, a biometric input used to identify the second user, sending, to the client system, a personal identifier for presentation to the second user, receiving, from the client system in response to the presentation of the personal identifier to the second user, an audio input from the second user, determining, based on a comparison of the audio input to a voiceprint of the second user, wherein the voiceprint comprises audio data for auditory identification of the second user, whether the audio input comprises the personal identifier spoken by the second user, and authenticating the second user to access an online account associated with the second user via the client system if the audio input is determined to be spoken by the second user and comprise the personal identifier spoken by the second user.