Synthesized Voice Authentication Engine Using Biometric Combinatory Device
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Solution Overview
Problem
Traditional voice authentication techniques are ineffective for individuals with disabilities and those speaking foreign languages, and can be bypassed by mimicked vocal patterns or recorded signals, necessitating improved systems for secure access to locations and information.
Innovation Solution
A synthesized voice authentication system using synthesized voice authorization devices and a biometric combinatory device that generates a unique, secure voice profile by combining biometric information with randomized audio frequencies, enabling secure authentication across languages and disabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional voice authentication techniques are used, then the authentication process is simple and quick, but the security is weak and vulnerable to mimicked vocal patterns or recorded signals
Solution Approach 1:
The patent combines multiple authentication factors including voice biometrics, location data, and randomized frequency challenges into a unified authentication system. The biometric combinatory device integrates these different data sources to create a composite authentication decision, thereby enhancing security while managing complexity through systematic integration
Solution Approach 2:
The system creates a composite authentication mechanism by combining traditional voice recognition with location-based verification and dynamic frequency modulation. This composite approach layers multiple security measures together, making the authentication process more robust against various attack vectors while maintaining a structured system architecture
2Adaptability or versatility
If traditional voice authentication techniques are used, then the system is easy to operate, but it is ineffective for individuals with disabilities or those speaking foreign languages
Solution Approach 1:
The authentication system is designed to accommodate multiple user types and languages by incorporating location-aware verification and alternative biometric modalities. The system can adapt its verification requirements based on user profile and location, providing universal access while maintaining security standards across diverse user populations
Solution Approach 2:
The system dynamically adjusts authentication requirements based on user characteristics, location data, and risk assessment. For users with disabilities or speaking foreign languages, the system can modify verification steps while maintaining overall security, making the process adaptable to different user needs without requiring complete redesign
3Reliability
If synthesized voice identifiers combining multiple biometric factors are used, then the security and reliability are enhanced, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary processing of biometric data during enrollment and updates location information continuously in the background. By pre-processing voice samples and maintaining current location data, the system reduces the computational burden during actual authentication events, thereby maintaining high reliability while minimizing processing time
Solution Approach 2:
The authentication system processes different types of data with appropriate levels of detail and computational resources. Location data is processed with geographic precision appropriate to the security level, while voice biometrics receive focused analysis on specific acoustic features. This localized quality approach optimizes processing efficiency without compromising overall authentication reliability
Data Source
AI summary
A system for creating a synthetic voice identifier may include a plurality of synthesized voice authorization (SVA) devices and a biometric combinatory device (BCD). The SVAs may be communicatively coupled to the BCD via a network and may communicate utilizing a markup language. The SVA devices may capture an audio signal of a voice of a user, modify the audio signal with a randomized audio frequency signal to generate a modified audio signal, and communicate, the modified audio signal as a synthesized voice signal associated with the user. The BCD may receive biometric information corresponding to a user, the biometric information comprising at least audio information associated with a voice of the user, receive, at an integration module, location information corresponding to a location of the user, combine, the location information and audio signal information associated with the user to generate a synthesized voice identifier associated with the user, and communicate the synthesized voice identifier to a remote device for use in an authentication process of the user.