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SPEECH RECOGNITION IN AIR TRAFFIC CONTROL (ATC) (NOISE, MULTIPLE VOICES) AND PSYCHOLOGICAL OR PHYSICAL STRESS (PEAK TRAFFIC PERIODS, COLDS), WHILE MEETING THE NEED OF ERROR-RESISTANT OPERATION.

Award Information
Agency: Department of Transportation
Branch: N/A
Contract: N/A
Agency Tracking Number: 1872
Amount: $49,608.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 1985
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
10150 Sorrento Valley Road #210
San Diego, CA 92121
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 () -
Business Contact
 Sandra E. Hutchins
Title: Technical Director
Phone: () -
Research Institution
N/A
Abstract

SPEECH RECOGNITION IN AIR TRAFFIC CONTROL (ATC) (NOISE, MULTIPLE VOICES) AND PSYCHOLOGICAL OR PHYSICAL STRESS (PEAK TRAFFIC PERIODS, COLDS), WHILE MEETING THE NEED OF ERROR-RESISTANT OPERATION. A SUCCESSFUL DESIGN THAT "CAPTURES" THE INFORMATION ALREADY COMMUNICATED VERBALLY, HOWEVER, WOULD SAVE TIME NOW SPENT RE-ENTERING SPOKEN DATA THROUGH THE KEYBOARD AND REDUCE THE NEED FOR A CONTROLLER TO LOOK AWAY FROMT HE SCREEN. BY USING AN INNOVATIVE, ECLECTRIC, LINGUISTIC APPROACH TO SPEECH RECOGNITION, RECOGNIZER WITH A LIMITED VOCABULARY AND HERURISTIC C CAPABILITIES COULD BE DEVELOPED FOR THIS APPLICATION. THE PROPOSED TECHNICAL APPROACH WOULD COMBINE SEVERAL STATE-OF- THE-ART SPEECH RECOGNITION TECHNIQUES, ADAPTED SPECIFICALLY FOR STRESSFUL, HIGH-NOISE ENVIRONMENTS, WITH PHONETIC, PHONEMIC, SYNTACTIC, AND SEMANTIC PREDICTION CAPABILITIES TO PRODUCE RELIABLE, REAL-TIME SPEECH RECOGNITION.

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

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