American Express Travel Related Services Company, Inc.

III Holdings 1, LLC

Marcel Leyva

Vernon Marshall

Cynthia Hanson

Vicki Broman

Seshasayee Bellamkonda

Robert Phelan

Houman Motaharian

Chin H Khor

Hing Seng Too

Joya A Mukherjee

Renee Epple

Will C Frampton

Liz A Fuller

Andrew M Grogger

Sally L Niblock

Martin J Preciado

A consumer uses a web client to transmit purchase information associated with a transaction to a merchant server. The purchase information is transmitted via a web acceleration server. The web acceleration server identifies enhanced authorization data associated with the transaction. The web acceleration server creates a pseudo authorization message. The web acceleration server transmits the pseudo authorization message to a transaction account issuer. The merchant server transmits an authorization request to the transaction account issuer. The transaction account issuer determines that the authorization request and the pseudo authorization message are associated with the same transaction. The transaction account issuer merges the authorization request and the pseudo authorization message and performs a fraud analysis. The transaction account issuer transmits an authorization response to the merchant.

Pseudo authorization messages

One-to-many comparisons of callers' voice prints with known voice prints to identify any matches between them. When a customer communicates with a particular entity, such as a customer service center, the system makes a recording of the real-time call including both the customer's and agent's voices. The system segments the recording to extract at least a portion of the customer's voice to create a customer voice print, and it formats the segmented voice print for network transmission to a server. The server compares the customer's voice print with multiple known voice prints to determine any matches, meaning that the customer's voice print and one of the known voice prints are likely from the same person. The identification of any matches can be used for a variety of purposes, such as determining whether to authorize a transaction requested by the customer.

Speaker recognition and denial of a transaction based on matching a known voice print

Systems and methods for enhanced authorization fraud mitigation

One-to-many comparisons of callers' words and/or voice prints with known words and/or voice prints to identify any substantial matches between them. When a customer communicates with a particular entity, such as a customer service center, the system makes a recording of the real-time call including both the customer's and agent's voices. The system segments the recording to extract different words, such as words of anger. The system may also segment at least a portion of the customer's voice to create a tone profile, and it formats the segmented words and tone profiles for network transmission to a server. The server compares the customer's words and/or tone profiles with multiple known words and/or tone profiles stored on a database to determine any substantial matches. The identification of any matches may be used for a variety of purposes, such as providing representative feedback or customer follow-up.

Evaluation of voice communications

Speaker recognition in a multi-speaker environment and comparison of several voice prints to many

A financial institution may use the bank routing and account number information (ABA/DDA) of a checking account or the like, obtained from paper checks previously submitted by a customer, in an electronic payment program. When a customer who has previously paid a credit balance by check, for example, wants to enroll in the electronic payment program, an abbreviated enrollment process is provided in which the consumer only enters a portion of bank routing information, instead of having to enter the full ABA/DDA as in the standard enrollment procedure. In some cases, the customer may leave such information blank and needs only to confirm that the stored bank account information corresponds to the account being used for the electronic payment.

Method, apparatus, and computer program product for repository data maximization

Word recognition system and method for customer and employee assessment

One-to-many comparisons of callers'voice prints with known voice prints to identify any matches between them. When a customer communicates with a particular entity, such as a customer service center, the system makes a recording of the real-time call including both the customer's and agent's voices. The system segments the recording to extract at least a portion of the customer's voice to create a customer voice print, and it formats the segmented voice print for network transmission to a server. The server compares the customer's voice print with multiple known voice prints to determine any matches, meaning that the customer's voice print and one of the known voice prints are likely from the same person. The identification of any matches can be used for a variety of purposes, such as determining whether to authorize a transaction requested by the customer.

Growing community of inventors

Chandler, AZ, United States of America

Marcel Leyva