Voice print identification portal

Abstract

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.

Description

RELATED APPLICATIONS[0001]The present invention claims priority to U.S. Provisional Patent Application No. 60 / 894,627, entitled “VOICE PRINT IDENTIFICATION PORTAL,” filed Mar. 13, 2007 which is hereby incorporated by reference.FIELD OF THE INVENTION[0002]The present invention relates generally to system access control based on user identification by biometric acquisition and speech signal processing for word recognition. More particularly, the present invention relates to combining voice based biometric identification for securing various computer related devices and speech recognition for device control and automated entry of information.BACKGROUND[0003]The field of processing voice signals for use within a computerized device has traditionally been split into two distinct fields, speaker identification and speech recognition. These two fields have historically required separate and uniquely designed and configured systems. These systems are often provided by different vendors[0004...

AI Technical Summary

Benefits of technology

[0014]In an embodiment, a system for securely authenticating a client seeking access to secure information available through a network is described herein. In an embodiment, the system includes a back-end computer system adapted to manage and control access to secure information. In an embodiment, the system includes a front-end interface, adapted to provide the client with access to the back-end computer system. In an embodiment, the system includes a voice analysis computer system, adapted to verify a client's identity based on a voice sample. In an embodiment, the front-end interface is adapted to provide the client with the ability to record a client voice sample and communicate the client's voice sample to the voice analysis computer system. In an embodiment, the voice analysis computer system is adapted to compare the received client's voice sample to at least one voice print and authenticate the client based at least in part on the comparison. In an embodiment, the voice analysis computer system is adapted to communicate an indication of authentication. In an embodiment, the sample voice recording of the client is the only information originating from the client that is used to authenticate the client.

Problems solved by technology

However, voice authentication is much more difficult to successfully achieve than speech recognition.

Second, speaker identification requires matching the speaker to a much larger number of possibilities, because one person must be identified out of many, not just what word they spoke.

Due to these differing requirements, existing systems (including computer hardware, software, or both) have been limited to performing one of these two functions.

Along with the rise of the use of technology to conduct everyday life, security concerns with the use of computers have risen dramatically due to identity theft.

Identity theft typically occurs where personal information such as bank accounts, social security numbers, passwords, identification numbers .

However, when a customer enters in information (before it is transferred) at the front-end side of the transaction, the information is highly vulnerable to theft.

In fact, in most cases of identity theft, personal information is stolen from the front-end side of the transaction.

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