Technology Leadership • Project Management • Software Project Management • Vendor Management • Web Based Software Development • Voip • C++ • Unix • Linux • Sql • Speech Signal Processing • Cloud Computing • System Architecture • Agile Methodologies • Testing • Perl • Xml • Program Management • Management • Strategic Planning • Software Development • Software Engineering • It Strategy • Technology Strategy and Development • Research and Technology Integration • Functional Planning • Project Planning • Business Development • Operations Management • Organizational and Team Development • Staff Development • Agile Management • Customer Engagement
Accruent
Director of Cloud Operations
Accruent Feb 2018 - Dec 2018
Director of Cloud Operations and Security
Pacific Metrics Jan 2015 - Aug 2017
Vice President of Service and Technology
Pacific Metrics Jun 2012 - Dec 2014
Vice President of Technology
Pacific Metrics Sep 2007 - May 2012
Senior Director of Technology Services
Education:
University of Denver 2001 - 2004
Masters, Management
Rensselaer Polytechnic Institute 1988 - 1989
Master of Science, Masters, Engineering
Rensselaer Polytechnic Institute 1984 - 1988
Bachelors, Bachelor of Science, Computer Science
Skills:
Technology Leadership Project Management Software Project Management Vendor Management Web Based Software Development Voip C++ Unix Linux Sql Speech Signal Processing Cloud Computing System Architecture Agile Methodologies Testing Perl Xml Program Management Management Strategic Planning Software Development Software Engineering It Strategy Technology Strategy and Development Research and Technology Integration Functional Planning Project Planning Business Development Operations Management Organizational and Team Development Staff Development Agile Management Customer Engagement
Certifications:
SafeĀ® 4 Certified Agilist Certified Scrummaster Managing Up, Down, and Across the Organization
Kevin Farrell - Denver CO William Mistretta - Morrison CO
Assignee:
T-Netix, Inc. - Carrollton TX
International Classification:
G10L 1700
US Classification:
704232, 704250
Abstract:
The model adaptation system of the present invention is a speaker verification system that embodies the capability to adapt models learned during the enrollment component to track aging of a users voice. The system has the advantage of only requiring a single enrollment for the user. The model adaptation system and methods can be applied to several types of speaker recognition models including neural tree networks (NTN), Gaussian Mixture Models (GMMs), and dynamic time warping (DTW) or to multiple models (i. e. , combinations of NTNs, GMMs and DTW). Moreover, the present invention can be applied to text-dependent or text-independent systems.
William Mistretta 1978 graduate of University of Scranton Campus School in Scranton, PA is on Memory Lane. Get caught up with William and other high school ...