Voice Command Authentication via Acoustic Fingerprinting Thresholds
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Solution Overview
Problem
Conventional user devices with voice recognition interfaces struggle to distinguish between valid voice commands from users and false voice commands from other sources, such as speakers connected to the user device, leading to unintended actions or ignored valid commands.
Innovation Solution
The implementation of an interactive media guidance application that determines a threshold metric based on a signature sound sequence played through a connected speaker. This application compares the threshold metric with a metric determined for a received voice command, allowing it to differentiate between valid and false voice commands by assessing their similarity in value.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If voice recognition interface is implemented to enable user control, then ease of operation is improved, but reliability deteriorates due to inability to distinguish valid commands from false commands
Solution Approach 1:
An audio fingerprinting system serves as an intermediary between the voice recognition interface and command execution. The system extracts acoustic features from received audio signals and compares them against stored fingerprints of authorized users, acting as a mediator that validates whether a voice command originates from an authorized source before allowing execution
Solution Approach 2:
Audio fingerprints of authorized users are pre-stored in the system during a setup phase. When a voice command is received, the system performs preliminary comparison of the command's acoustic features against these pre-stored fingerprints to determine authorization before executing any actions, preventing false commands from unauthenticated sources
2Productivity
If voice commands are processed without verification to improve response speed, then productivity is improved, but harmful factors increase due to unintended device actions
Solution Approach 1:
The system implements feedback by continuously monitoring acoustic features of received commands and comparing them against stored fingerprints. This closed-loop verification process provides feedback on whether a command is authenticated before execution, preventing harmful unintended actions while maintaining efficient processing of valid commands
3Reliability
If audio fingerprinting verification is implemented to improve command accuracy, then reliability is improved, but device complexity increases
Solution Approach 1:
The system replaces complex mechanical or manual authentication mechanisms with acoustic field-based fingerprinting. By utilizing inherent acoustic properties of human voice and comparing them through signal processing, the system achieves reliable authentication without requiring complex physical security mechanisms or multiple verification steps
Data Source
AI summary
Systems and methods for distinguishing valid voice commands from false voice commands in an interactive media guidance application. In some aspects, the interactive media guidance application receives, at a user device, a signature sound sequence. The interactive media guidance application determines, using control circuitry, based on the signature sound sequence, a threshold gain for the current location of the user device. The interactive media guidance application receives, at the user device, a voice command. The interactive media guidance application determines, using the control circuitry, based on the voice command, a gain for the voice command. The interactive media guidance application determines, using the control circuitry, whether the gain for the voice command is different from the threshold gain. Based on determining that the gain for the voice command is different from the threshold gain, the interactive media guidance application executes, using the control circuitry, the voice command.


