Voice Print Authentication System for Secure Network Access

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Solution Overview

Problem

Existing systems for speech recognition and speaker identification are segmented, limiting their ability to perform both functions simultaneously, and there is a need for a secure means to authenticate users accessing secure information over networks, as traditional methods are vulnerable to identity theft.

Innovation Solution

A system and method for voice authentication that includes an enrollment process to create a voice print identification and an authentication process using a voice recording, where the voice analysis system compares the client's voice sample to stored voice prints to verify identity, allowing secure access to network information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If speech recognition and speaker identification are implemented as separate systems, then each system can be optimized for its specific function, but the overall system complexity increases and the ability to perform both functions simultaneously is limited

Engineering Contradiction:
Improveability to perform both speech recognition and speaker identificationVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent combines speech recognition and speaker identification into a single integrated system. The speech processing module handles both word recognition and speaker verification using unified algorithms and a single system architecture, eliminating the need for separate systems and reducing overall complexity while maintaining the ability to perform both functions simultaneously.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The speech processing module is designed with multi-functionality to perform both speech recognition and speaker identification tasks. The system uses universal algorithms that can operate in different modes depending on whether the task is to recognize what was said or to verify who said it, allowing one system to serve multiple purposes.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Reliability

If traditional authentication methods are used, then implementation is simple, but security against identity theft is vulnerable

Engineering Contradiction:
Improvesecurity against identity theftVSAvoidauthentication system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent replaces traditional mechanical authentication methods (such as passwords or physical tokens) with a biometric-based voice authentication system. The speaker identification module analyzes unique acoustic characteristics of the user's voice to verify identity, providing enhanced security against identity theft while maintaining user convenience.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Measurement precision

If speech authentication uses stringent matching, then verification accuracy improves, but processing time increases

Engineering Contradiction:
Improvevoice matching accuracyVSAvoidauthentication processing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs voice authentication in stages, initially using less stringent matching to quickly eliminate non-matching speakers, then applying more stringent matching only to promising candidates. This partial action approach maintains high verification accuracy while reducing overall processing time by avoiding exhaustive comparison with all possible templates.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS9799338B2Voice print identification portal
Publication Date: 2017.10.24 VOICEIT TECHNOLOGIES LLC
  • US9799338B2 patent drawing
  • US9799338B2 patent drawing
  • US9799338B2 patent drawing

AI summary

Systems and methods providing for secure voice print authentication over a network are disclosed herein. During an enrollment stage, a client's voice is recorded and characteristics of the recording are used to create and store a voice print. When an enrolled client seeks access to secure information over a network, a sample voice recording is created. The sample voice recording is compared to at least one voice print. If a match is found, the client is authenticated and granted access to secure information.Systems and methods providing for a dual use voice analysis system are disclosed herein. Speech recognition is achieved by comparing characteristics of words spoken by a speaker to one or more templates of human language words. Speaker identification is achieved by comparing characteristics of a speaker's speech to one or more templates, or voice prints. The system is adapted to increase or decrease matching constraints depending on whether speaker identification or speaker recognition is desired.