SBIR/STTR Research Award

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 identifier 527cb46851b9ac174b78e3372a62d2c3fdefd6d9dbb9921e6f6f1de9dadfe0bdAwarding agency Department of Transportation

Award amount

$49,608

Program and phase

SBIR · Phase I

Award year

1985

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Award details

Awarding agency
Department of Transportation
Branch
Not reported
Recipient company
Emerson & Stern Associates Inc
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research 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.

Technology keywords

Not reported

Agency intelligence

Department of Transportation

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