Multi-Channel Audio Authentication via Proximity Signal Comparison
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Solution Overview
Problem
Conventional authentication systems are cumbersome, inconvenient, and insecure, requiring multiple steps and often failing to provide a seamless user experience due to their reliance on knowledge-based questions or one-time passwords.
Innovation Solution
The use of multiple audio channels for authentication, where a user's voice command is captured by two devices in proximity, allowing an authentication server to verify the similarity of the audio recordings and determine the user's presence, thereby authenticating the user with minimal interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional authentication methods use knowledge-based questions or one-time passwords, then authentication security is improved, but user convenience and ease of operation deteriorate due to multiple steps and cumbersome procedures
Solution Approach 1:
The patent replaces manual authentication actions (typing passwords, answering questions) with acoustic wave-based authentication. The system uses sound waves to automatically verify user identity by comparing audio characteristics, eliminating the need for users to manually enter credentials or answer security questions, thus improving both security and convenience simultaneously
Solution Approach 2:
The system enables self-service authentication where the user's own voice serves as the authentication credential. The user simply speaks normally and the system automatically extracts and compares voice features without requiring user intervention in the authentication process itself, making it both secure and convenient
2Reliability
If conventional authentication systems require multiple steps and active user participation, then authentication reliability is improved, but productivity and speed of authentication deteriorate
Solution Approach 1:
The system performs preliminary voice feature extraction and comparison during the natural course of user interaction. Instead of requiring separate authentication steps, the voice analysis is conducted concurrently with the user's normal speech, enabling rapid authentication without adding time to the interaction process
Solution Approach 2:
The authentication process maintains continuity by using the user's natural speech throughout the interaction as the authentication material. The system continuously analyzes voice features during the conversation rather than pausing for separate authentication steps, maintaining both reliability and speed
3Ease of operation
If acoustic signals are used for authentication, then ease of operation is improved, but measurement precision and difficulty of detecting and measuring may worsen due to noise and signal variability
Solution Approach 1:
The system focuses on analyzing specific local characteristics of the voice signal rather than the entire audio spectrum. By concentrating on particular voice features (such as formants, pitch contours, or spectral patterns) that are less susceptible to noise, the system maintains high measurement precision while keeping the authentication process simple and natural for the user
Data Source
AI summary
Disclosed herein are embodiments of systems, methods, and products comprises an authentication server for authentication leveraging multiple audio channels. The server receives an authentication request regarding a user upon the user interacting with a first electronic device. The server requests the first device to transmit a first audio file of an audio sample to the server. The audio sample may be the user's audio command or a machine-generated audio signal. The server requests a second electronic device to transmit a second audio file that is the recording of the same audio sample to the server. The second electronic device is a trusted device in proximity of the first device and executes an authentication function to enable the recording and transmitting of the audio sample. The server determines a similarity score between the first audio file and the second audio file and authenticates the user based on the similarity score.