Voice Recognition Apparatus Authentication Logic

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Solution Overview

Problem

Current voice recognition systems lack efficient user authentication methods, particularly in scenarios where recent authentication has not been performed, leading to potential security vulnerabilities and increased authentication times.

Innovation Solution

An intelligent voice recognition method that detects user voice, assesses recent authentication status, and performs additional authentication through voice-based inquiries and threshold checks, utilizing AI processing and network communication for enhanced security and efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If additional authentication is performed through voice-based inquiries and threshold checks, then security is enhanced, but authentication time increases

Engineering Contradiction:
Improveauthentication securityVSAvoidauthentication time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system checks whether authentication has been recently performed (within a predetermined critical period) before initiating additional authentication procedures. This preliminary check allows the system to skip unnecessary authentication steps when recent authentication is valid, thereby reducing authentication time while maintaining security when needed

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The authentication process is made dynamic by adjusting the level of authentication required based on the recent authentication status. When recent authentication is valid, only basic voice detection is required; when invalid, multiple additional authentication steps (voice-based inquiries, threshold checks) are performed, optimizing the balance between security and efficiency

Inventive Principle:
Principle #15Dynamics

2Reliability

If multiple additional authentication steps are performed, then authentication reliability improves, but system complexity increases

Engineering Contradiction:
Improveauthentication reliabilityVSAvoidauthentication process complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The authentication process is segmented into distinct stages: initial voice detection, recent authentication status check, and conditional additional authentication steps. This segmentation allows the system to perform only the necessary steps based on the current context, improving reliability while managing complexity through modular processing

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system performs additional authentication steps selectively rather than always. When recent authentication is valid, only minimal verification is performed; when invalid, the full sequence of additional authentication steps is executed. This partial action approach ensures high reliability when needed while avoiding unnecessary complexity in routine operations

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS11580992B2Intelligent voice recognizing method, apparatus, and intelligent computing device
Publication Date: 2023.02.14 LG ELECTRONICS INC
  • US11580992B2 patent drawing
  • US11580992B2 patent drawing
  • US11580992B2 patent drawing

AI summary

An intelligent voice recognition method, voice recognition apparatus and intelligent computing device are disclosed. An intelligent voice recognition method of a voice recognition apparatus according to an embodiment of the present invention detects a voice of a user, receives an authentication request from the user, and performs authentication for the user on the basis of a result of determination of whether authentication for the user has recently been performed and a result of recognition of the voice of the user, thereby reducing a time and the quantity of calculations necessary for user authentication. One or more of the voice recognition apparatus and the intelligent computing device can be associated with artificial intelligence (AI) modules, unmanned aerial vehicle (UAV) robots, augmented reality (AR) devices, virtual reality (VR) devices, 5G service related devices, etc.