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Integration of speech recognition into Air traffic Control
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
2011 (English)Student paper other, 20 credits / 30 HE creditsStudent thesis
Abstract [en]

We study here the feasibility and relevance of integrating speech recognition technologies into air traffic controller workstations, with the purpose of adding safety and reduce workload, while the expected growth of air traffic density tends to add more constraints and stress to these critical jobs.

Place, publisher, year, edition, pages
2011.
Series
EES Examensarbete / Master Thesis, XR-EE-SIP 2011:003
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-91844OAI: oai:DiVA.org:kth-91844DiVA: diva2:511357
Uppsok
Technology
Examiners
Available from: 2012-03-21 Created: 2012-03-21 Last updated: 2012-03-21Bibliographically approved

Open Access in DiVA

sammanfattning(515 kB)106 downloads
File information
File name SUMMARY01.pdfFile size 515 kBChecksum SHA-512
40975fed53784e1d34a637008555a89fb6b0d8fe01bba76b2b10de48c0c91437a2e7c4ab553e4b184a858b5d565da359e4c7c9adc475a024637ff28a9cef51aa
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CiteExportLink to record
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