Grid One Solutions Lorton, VA Jun 2012 to May 2013 Gas TechnicianFabricator Glenville, WV Jun 2011 to Feb 2012 WelderLCW Lantz Construction Winchester, VA May 2010 to Aug 2010 CarpenterK.S Contracting Jane Lew, WV Oct 2009 to Jan 2010 CarpenterDoss Enterprises Linn, WV Oct 2008 to Aug 2009 ROUSTABOUTA-Tron HVAC Purcellville, VA Jun 2008 to Sep 2008 HELPER-TempCarquest Distribution Center Winchester, VA Jun 2006 to Aug 2006 STOCKER, PULLER, SHIPPING
Education:
Fred W. Eberly Vocational School Buckhannon, WV Feb 2007 to May 2008 Vocational in General Building ConstructionLewis County High School Weston, WV Feb 2007 to May 2008 High School Diploma
Us Patents
Correlating Call Data And Speech Recognition Information In A Telephony Application
Christopher Ryan Groves - Cary NC, US Kevin James Muterspaugh - Harvest AL, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
H04M001/64
US Classification:
379 8803, 704243, 7042701
Abstract:
A method for improving the recognition confidence of alphanumeric spoken input, suitable for use in a speech recognition telephony application such as a voice response system. An alphanumeric candidate is determined from the spoken input, which may be the best available representation of the spoken input. Recognition confidence is compared with a preestablished threshold. If the recognition confidence exceeds the threshold, the alphanumeric candidate is selected to represent the spoken input. Otherwise, present call data associated with the spoken input is determined. Call data may include automatic number identification (ANI) information, caller-ID information, and/or dialed number information service (DNIS) information. Information associated with the alphanumeric candidate and information associated with the present call data are correlated in order to select alphanumeric information that best represents the spoken input.
Method For Processing Calls In A Call Center With Automatic Answering
John Holden Bickford - Hyde Park NY, US Christopher Ryan Groves - Cary NC, US Kevin James Muterspaugh - Harvest AL, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
H04M001/64 H04M003/00
US Classification:
37926507, 379 8801, 37926601
Abstract:
In a call center with automatic answering, the availability of an agent is verified in order to prevent open connections when the agent unexpectedly leaves his or her station and fails to give proper notice. Verification may be provided by sensing speech activity of the agent when greeting a calling party or in response to an incoming-call signal. In other embodiments, verification may be provided by checking an audio device allocated to the agent, for example checking whether the agent is wearing his or her headset, or whether the headset is operably connected to the call center.
Correlating Call Data And Speech Recognition Information In A Telephony Application
A method for improving the recognition confidence of alphanumeric spoken input, suitable for use in a speech recognition telephony application such as a voice response system. An alphanumeric candidate is determined from the spoken input, which may be the best available representation of the spoken input. Recognition confidence is compared with a preestablished threshold. If the recognition confidence exceeds the threshold, the alphanumeric candidate is selected to represent the spoken input. Otherwise, present call data associated with the spoken input is determined. Call data may include automatic number identification (ANI) information, caller-ID information, and/or dialed number information service (DNIS) information. Information associated with the alphanumeric candidate and information associated with the present call data are correlated in order to select alphanumeric information that best represents the spoken input.
Dan Mason, Ginger Gheen, Susan White, Nancy Cady, Craig Campbell, Bradley Johnson, Lewis Lerman, Bruce Osborne, Monty Reis, Christopher Clark, Avraham Farah