Voice Authentication in an Electronic Device for Multi-User Account Switching
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Solution Overview
Problem
Existing voice recognition technologies require users to manually input account information for multiple services, leading to inconvenience and security risks, especially when multiple users share a device.
Innovation Solution
An electronic device equipped with voice recognition capabilities that registers and identifies users based on their voice, allowing seamless login and accurate notification of account switching through a system that includes a display, network interface, and user input interface, with server processing for user identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually input account information for each service, then service access is achieved, but user convenience deteriorates and time is lost
Solution Approach 1:
The system performs preliminary voiceprint registration and user identification setup before actual service usage. When a user first accesses the device, the system proactively captures voice samples, generates voiceprint features, and links them to user accounts in advance. This preliminary action eliminates the need for repeated manual account input during subsequent service accesses.
Solution Approach 2:
The system enables self-service authentication by automatically identifying users through voice recognition and seamlessly logging them into services without manual intervention. The voiceprint-based authentication system allows users to access services simply by speaking, with the system automatically completing the login process based on voice matching against registered user profiles.
2Ease of operation
If users remain logged in to avoid repeated input, then operation convenience improves, but security deteriorates due to unauthorized access risks
Solution Approach 1:
The system implements dynamic authentication where user identification is continuously verified through voice recognition rather than maintaining static logged-in states. The authentication system adapts to different users in real-time by analyzing voice characteristics, allowing the device to switch between users dynamically while maintaining security. This dynamic approach eliminates the security risk of remaining logged in while preserving convenience.
Solution Approach 2:
The system replaces traditional mechanical authentication methods (manual password entry, physical login actions) with voice-based biometric authentication. This substitution maintains continuous security verification without requiring users to repeatedly enter credentials, as the voiceprint system automatically verifies user identity through acoustic characteristics rather than relying on persistent login sessions.
3Adaptability or versatility
If multiple users share one device, then device utilization improves, but authentication complexity increases due to multiple account inputs
Solution Approach 1:
The voiceprint authentication system provides a universal authentication mechanism that works across multiple user accounts and services. Instead of requiring separate authentication processes for each user, the system uses a single voice-based interface that automatically identifies and authenticates any registered user. This universal approach simplifies the authentication process while maintaining support for multiple users sharing the device.
Solution Approach 2:
The system creates voiceprint copies or templates of each user's voice characteristics during registration and stores these biometric profiles for rapid comparison. When authentication is needed, the system captures a new voice sample and compares it against the stored voiceprint copies, enabling fast and accurate user identification without requiring users to remember or input complex account credentials.
4Ease of operation
If voice recognition is implemented for user identification, then authentication convenience improves, but system complexity increases due to additional processing requirements
Solution Approach 1:
The voice recognition system is segmented into distinct functional modules: voice capture module, voiceprint feature extraction module, user identification module, and account authentication module. This segmentation allows each component to perform its specific function efficiently and independently, reducing overall system complexity. The modular architecture enables the device to implement sophisticated voice recognition without requiring complete system redesign, as each module can be optimized and maintained separately.
Data Source
AI summary
An electronic device including a display; a network interface configured to communicate with a server; a user input interface configured to receive speech uttered by a user; and a controller configured to determine whether the speech uttered by the user is related to a user account logged in to the server, in response to determining the speech uttered by the user is unrelated to the user account logged in to the server, display a first response on the display including an indicator indicating the user who has uttered the speech is not the user logged in to the user account, and in response to determining the speech uttered by the user is related to the user account logged in to the server, display a second response on the display indicating the user who uttered the speech is currently logged in to the server.