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Isolating and Locating Speakers in Clutter

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-07-M-0348
Agency Tracking Number: N074-039-0147
Amount: $69,996.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N07-T039
Solicitation Number: N/A
Timeline
Solicitation Year: 2007
Award Year: 2007
Award Start Date (Proposal Award Date): 2007-05-29
Award End Date (Contract End Date): 2008-03-29
Small Business Information
1845 Northwestern Suite B
El Paso, TX 79912
United States
DUNS: 116243825
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Ben Tirabassi
 Sr. Technical Manager
 (915) 877-3366
 bentirabassi@monmouth.com
Business Contact
 Michael Gearou
Title: Secretary
Phone: (915) 877-3366
Email: mgearou@tsidefense.com
Research Institution
 CARNEGIE MELLON UNIV.
 Richard Stern
 
B24 Porter Hall 5000 Forbes Avenue
Pittsburgh, PA 15213
United States

 (412) 268-2535
 Nonprofit College or University
Abstract

The challenge is already upon us that our military forces have to perform operations in urban environments. Our adversaries are studying our strategies, doctrine and technologies. While they may not be able to meet these capabilities in a time of conflict, they are doing what ever necessary to avoid operational environments for which our forces are optimized. With this in mind, they are seeking complex urban terrain for cover and concealment to try and offset our superior capabilities. Cities have become primary sanctuaries for many contemporary insurgents and therefore require a solution to ascertain and disseminate information about the persons "hiding" in those environments with the ability to remotely monitor their conversations. Improvements to algorithms that have already shown robust speech recognition intelligibility and audio tracking can be adapted to perform specific speaker extraction, identification and recognition in extremely high noise and chaotic aural cluttered environments. With this information, our forces will have a unique HUMINT capability to separate and identify persons of interest based on unique spoken utterance characteristics. Captured audio data can be used to track their movements, identify plans or potential threats based upon the content of the conversation, and perform speaker identification and verification type tasks.

* Information listed above is at the time of submission. *

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