Voice Authentication Spectral Analysis Live Playback Detection
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Solution Overview
Problem
Conventional user authentication methods, such as alphanumeric passwords and biometric markers, are vulnerable to theft and coercion, as they can be stolen or recorded and played back to gain unauthorized access to devices.
Innovation Solution
A voice verification system that processes audio signals to determine if they originate from a live source or a playback device, using power and amplitude spectrum analysis to authenticate users by comparing the audio signals with pre-enrolled voice profiles, and engaging security countermeasures for unauthorized access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional authentication methods (passwords, biometric markers) are used, then ease of operation is improved, but security reliability deteriorates due to vulnerability to theft and playback attacks
Solution Approach 1:
The patent changes the authentication parameter from simple voice recognition to spectral analysis parameters (power spectrum, amplitude spectrum) that capture unique characteristics of live voice signals, making playback attacks ineffective while maintaining user convenience
Solution Approach 2:
The patent replaces conventional mechanical/authentication systems (password entry, fingerprint scanning) with acoustic spectral analysis that processes voice signals in the frequency domain, creating a more secure authentication mechanism that is equally easy to use
2Ease of operation
If voice authentication is implemented without spectral analysis, then ease of operation is improved, but measurement precision deteriorates due to inability to distinguish live from recorded voice
Solution Approach 1:
The patent transforms the voice authentication problem from time-domain signal analysis to frequency-domain spectral analysis, adding a new dimension (frequency spectrum) to the measurement process that enables distinction between live and recorded voice while maintaining operational simplicity
3Reliability
If spectral analysis is used to distinguish live from recorded voice, then security reliability is improved, but device complexity increases
Solution Approach 1:
The patent implements self-service through automated spectral analysis that performs power spectrum and amplitude spectrum calculations without requiring user intervention or complex manual processing, allowing the system to autonomously distinguish live from recorded voice signals
4Productivity
If automated spectral analysis is implemented, then productivity is improved through faster authentication, but device complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing power spectrum and amplitude spectrum characteristics during voice enrollment, enabling rapid comparison and authentication decisions during actual use without requiring complex real-time analysis
Data Source
AI summary
Disclosed herein are system, method, and computer program product embodiments for authentication of users of electronic devices by voice biometrics. An embodiment operates by comparing a power spectrum and/or an amplitude spectrum within a frequency range of an audio signal to a criterion, and determining that the audio signal is one of a live audio signal or a playback audio signal based on the comparison.