Voice Authentication Server Using Usage History for Shared Account Access
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Solution Overview
Problem
Existing speech recognition systems face challenges in user convenience and security when multiple users need to input account information for various services, leading to inefficiencies and potential security risks.
Innovation Solution
A server and system that utilize speech recognition technology to register and identify users based on voice, improving accuracy through user characteristics and usage history, enabling seamless account access and enhanced security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users input account information manually for each service, then service access is achieved, but user convenience deteriorates due to repetitive input
Solution Approach 1:
The system performs preliminary voice-based account verification before service access, storing the results in advance. This eliminates the need for repeated manual account input across multiple services, as the pre-verified account information is automatically retrieved and applied.
Solution Approach 2:
The system enables automatic account identification and service access through voice recognition, allowing the account verification process to serve itself without requiring user intervention. The voice-based authentication automatically retrieves and applies account credentials across services.
2Ease of operation
If users remain logged in to avoid repeated input, then convenience improves, but security deteriorates due to unauthorized access risks
Solution Approach 1:
The system replaces traditional mechanical login methods (typing passwords, clicking buttons) with voice-based authentication. This substitution maintains security through biometric verification while improving convenience by eliminating repeated manual authentication actions.
Solution Approach 2:
The system changes the authentication parameter from static credentials (passwords) to dynamic biometric data (voice characteristics). This allows for secure, temporary authentication states that can be verified repeatedly without maintaining continuous logged-in sessions, thus preserving both security and convenience.
3Adaptability or versatility
If multiple users share one device, then device utilization improves, but ease of operation deteriorates due to repeated login requirements
Solution Approach 1:
The system provides universal voice-based authentication that works across multiple user accounts and services on a single device. Each user's voice profile is stored and recognized independently, allowing any user to quickly access their account without manual credential entry, thus maintaining ease of operation while supporting multi-user device sharing.
4Adaptability or versatility
If speech recognition generates multiple candidate texts, then recognition flexibility improves, but processing accuracy deteriorates due to text selection difficulty
Solution Approach 1:
The system uses feedback from usage history data to evaluate and rank multiple candidate texts generated by speech recognition. By analyzing which interpretations have been most successful in previous interactions, the system can select the most accurate text from candidates, thereby maintaining recognition flexibility while improving processing accuracy.
Solution Approach 2:
The system dynamically adjusts text selection based on contextual factors including user characteristics, service type, and historical usage patterns. This dynamic approach allows the system to flexibly evaluate multiple candidate texts and select the most appropriate one for each specific situation, improving accuracy without sacrificing recognition flexibility.
Data Source
AI summary
A server and a system including the same are disclosed. The server according to one embodiment of the present disclosure comprises a communication interface that communicates with an electronic device, a database that stores usage histories of text usage classified by characteristics, and a controller, wherein the controller generates a plurality of first texts corresponding to a voice signal received from the electronic device, generates first identification information corresponding to the voice signal, obtains one or more user characteristics corresponding to the voice signal based on the first identification information, determines a second text corresponding to the voice signal among the plurality of first texts based on a first text history describing how each of the plurality of first texts is used in association with the user characteristics among the usage histories of text classified by characteristics, and transmits a result of performing intent analysis for the second text to the electronic device.


