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
Amount:
$49,608.00
Award Year:
1985
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Agency Tracking Number:
1872
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
Emerson & Stern Associates
10150 Sorrento Valley Road, #210, San Diego, CA, 92121
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
() -
Business Contact:
Sandra E. Hutchins
Technical Director
() -
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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