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Speech recognition with built in noise and chatter immunity

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-04-M-0319
Agency Tracking Number: N045-012-0045
Amount: $99,998.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N04-T012
Solicitation Number: N/A
Solicitation Year: 2004
Award Year: 2004
Award Start Date (Proposal Award Date): 2004-07-01
Award End Date (Contract End Date): 2005-04-30
Small Business Information
4295 Okemos Road, Suite 100
Okemos, MI 48864
United States
DUNS: 874483704
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Gail Erten
 (517) 349-9000
Business Contact
 Gail Erten
Title: Presidant
Phone: (517) 349-9000
Research Institution
 Michigan State University
 Dan Evon
301 Admin Bldg
East Lansing, MI 48824
United States

 (517) 355-5040
 Nonprofit College or University

Two obstacles to expanding speech technology application domains are the limited discrimination of intentional speech from (i) background noise, and (ii) incidental interfering speech, or background chatter. Since 1997, our company IC Tech has been engaged in developing technologies and solutions for speech enhancement towards better speech intelligibility and speech recognition accuracy in noisy environments. Our technologies have already been channeled to the marketplace, especially to automotive telematics applications. With this effort, we are proposing to apply our technology and know-how in noise cancellation and speech applications to develop speech recognition systems that are capable of reliable and robust performance in very noisy and chaotic military environments. Our target application is for command and control of vehicles and machines in Submarine Portable Ship Control Unit (PSCU) and Submarine Command Workstations. Our extensive use of commercial off-the-shelf technologies will keep the cost of the system well under $25,000 per copy, even in small quantities. Our Phase I effort will be geared towards investigating the optimum selections for microphone type and placement, noise cancellation technology, and automatic speech recognition (ASR) engine for this application. During the option phase, we will define the grammar and design and demonstrate the advantages of our system.

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

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