Voice Interaction System Voice Authenticity Verification
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Solution Overview
Problem
Current voice interaction/response systems are vulnerable to voice misappropriation, where nefarious entities can replicate a user's voice signature, leading to unauthorized actions.
Innovation Solution
The system determines whether a voice command is from an actual voice by compiling telemetry data, such as thermal data, from the user device and comparing it to a baseline, using a machine learning model to calculate a telemetry score and assess the authenticity of the voice command.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If voice biometric authentication is used, then authentication convenience is improved, but system security deteriorates due to voice replication attacks
Solution Approach 1:
The patent introduces telemetry data as an intermediary verification layer between the voice input and authentication decision. Instead of directly trusting voice biometrics, the system uses device telemetry (CPU usage, memory usage, power consumption) as a mediator to detect anomalies that indicate voice replication attacks, thereby maintaining authentication convenience while improving security.
Solution Approach 2:
The system implements feedback by continuously monitoring device telemetry data and comparing it against expected patterns during voice authentication. When telemetry patterns deviate from norms (indicating potential attacks), the system adjusts its authentication decision accordingly, creating a closed-loop security mechanism that maintains both convenience and reliability.
2Reliability
If telemetry data analysis is added to detect voice replication, then system security is improved, but device complexity increases
Solution Approach 1:
The patent leverages existing device components (CPU, memory, power management system) to collect telemetry data for security purposes. These components serve multiple functions: their primary computational roles plus the additional function of security monitoring. This multi-functionality approach improves security without requiring dedicated hardware or significantly increasing system complexity.
Solution Approach 2:
The system uses the device's own operational data (telemetry) to detect attacks, making the device self-monitoring for security purposes. The device collects and analyzes its own performance metrics to identify anomalies indicating voice replication attempts, eliminating the need for external monitoring hardware and reducing overall system complexity.
3Measurement precision
If real-time telemetry monitoring is implemented, then authentication accuracy is improved, but processing time increases
Solution Approach 1:
The system performs preliminary collection of telemetry data during the voice input process itself, rather than after authentication processing. By gathering security-relevant data concurrently with voice analysis, the system avoids sequential processing delays and maintains real-time authentication accuracy without significant time penalties.
Data Source
AI summary
Prevention of voice misappropriation in voice interaction/response systems. The system relies on telemetry data, including thermal data of components to determine whether a received voice command was made by actual voice. If the voice command is determined to have been made by an actual voice, a response to the command is generated and transmitted, otherwise if the voice command is determined to have likely not been made by an actual voice (e.g., artificial means replicating a voice, such as a laser or the like), no response to the command is transmitted or action taken with respect to the command.