Vicki Broman - Paradise Valley AZ, US Vernon Marshall - Montclair NJ, US Seshasayee Bellamkonda - Glendale AZ, US Marcel Leyva - Chandler AZ, US Cynthia Hanson - Minneapolis MN, US
Assignee:
American Express Travel Related Services Company, Inc. - New York NY
International Classification:
G10L 17/00
US Classification:
704246, 704247, 704249, 704250
Abstract:
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 In A Multi-Speaker Environment And Comparison Of Several Voice Prints To Many
Vicki Broman - Paradise Valley AZ, US Vernon Marshall - Montclair NJ, US Seshasayee Bellamkonda - Glendale AZ, US Marcel Leyva - Chandler AZ, US Cynthia Hanson - Minneapolis MN, US
Assignee:
American Express Travel Related Services Company, Inc. - New York NY
International Classification:
G10L 17/00
US Classification:
704246, 704247, 704249, 704250
Abstract:
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 In A Multi-Speaker Environment And Comparison Of Several Voice Prints To Many
Vicki Broman - Paradise Valley AZ, US Vernon Marshall - Montclair NJ, US Seshasayee Bellamkonda - Glendale AZ, US Marcel Leyva - Chandler AZ, US Cynthia Hanson - Minneapolis MN, US
International Classification:
H04M001/64
US Classification:
379/088020
Abstract:
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 In A Multi-Speaker Environment And Comparison Of Several Voice Prints To Many
Vicki Broman - Paradise Valley AZ, US Vernon Marshall - Montclair NJ, US Seshasayee Bellamkonda - Glendale AZ, US Marcel Leyva - Chandler AZ, US Cynthia Hanson - Minneapolis MN, US
Assignee:
American Express Travel Related Services Company, Inc. - New York NY
International Classification:
G10L 17/00
US Classification:
704246, 704E17001
Abstract:
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 In A Multi-Speaker Environment And Comparison Of Several Voice Prints To Many
Vicki Broman - Paradise Valley AZ, US Vernon Marshall - Montclair NJ, US Seshasayee Bellamkonda - Glendale AZ, US Marcel Leyva - Chandler AZ, US Cynthia Hanson - Minneapolis MN, US
Assignee:
American Express Travel Related Services Company, Inc. - New York NY
International Classification:
H04M 1/64 G10L 17/00
US Classification:
379 8802, 704246, 704E17002
Abstract:
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 customers 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
- Wilmington DE, US Vernon Marshall - Montclair NJ, US Seshasayee Bellamkonda - Glendale AZ, US Marcel Leyva - Chandler AZ, US Cynthia Hanson - Minneapolis MN, US
International Classification:
G06Q 20/40 G10L 17/00 G06Q 20/38
Abstract:
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.
New Era Gems Grass Valley, CA Aug 2011 to Apr 2012 Administrative Assistant and SalesPort of Subs Grass Valley, CA Sep 2006 to Feb 2007 Crew MemberJC Penney Grass Valley, CA Sep 2005 to Jan 2006 Retail Sales AssociatePort of Subs Everett, WA Sep 2003 to Mar 2005 Crew MemberMcDonalds Lynnwood, WA Nov 2002 to Sep 2003 Shift ManagementTrader Joes Everett, WA Mar 2002 to Jan 2003 Checker/Cashier and StockerMcDonalds Hermiston, OR Nov 2001 to Mar 2002 Shift Manager
Education:
Sierra College Rocklin, CA May 2011 Associate of Science in Business AdministrationSierra College Rocklin, CA May 2010 Associate of Science in AccountingHermiston High School Hermiston, OR Jun 2000 High School Diploma
Billy Mauer Chevrolet Inver Grove Heights, MN Jun 2010 to Aug 2011 Office ManagerWalser Automotive Group Burnsville, MN Aug 2009 to Jun 2010 Accounting PODDenny Hecker's Southview Chevrolet Inver Grove, MN Mar 2008 to Jan 2009 Titling/Biller/Office AssistantDenny Hecker's Stillwater Ford Lincoln Mercury Stillwater, MN Jul 2006 to Mar 2008 Office ManagerDenny Hecker's Toyota/Volkswagen Inver Grove, MN Nov 2005 to Jul 2006 New & Used Car BillingKathy's License Center Saint Paul, MN Jul 2005 to Nov 2005 Customer ServiceDenny Hecker's Hudson Pontiac GMC Hudson, WI Oct 2004 to Jul 2005 ControllerDenny Heckers Stillwater Cadillac Stillwater, MN Jun 2003 to Sep 2004 Office ManagerSouthview Chevrolet Inver Grove Heights, MN Jan 2001 to Jun 2003 Office ManagerWilkins Auto Mall Inver Grove Heights, MN Aug 2000 to Jan 2001 New & Used Car Biller/TitlingArrow Pontiac GMC Trucks Inver Grove Heights, MN Jun 1999 to Aug 2000 Used Car Billing & TitlingFred's Tire Company Saint Paul, MN Oct 1998 to Jun 1999 Accounts Payable
Education:
Dakota County Technical College Rosemount, MN 1991 to 1993 Diploma in Accounting ClerkNortheast Metro Technical College White Bear Lake, MN 1986 to 1987 Diploma in General Office