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Development and implementation of a language technology system in air traffic controller student training / Mira Pavlinović, Damir Boras, Biljana Juričić.

By: Pavlinović, Mira.
Contributor(s): Boras, Damir [aut] | Juričić, Biljana [aut].
Material type: ArticleArticlePublisher: 2016Description: 251-256 str.Other title: Development and Implementation of a Language Technology System in Air Traffic Controller Student Training [Naslov na engleskom:].Subject(s): 5.04 | air traffic control training ; technology in education ; air traffic control communication ; radiotelephony phraseology corpus ; automatic speech recognition ; system for radiotelephony communication correction | air traffic control training ; technology in education ; air traffic control communication ; radiotelephony phraseology corpus ; automatic speech recognition ; system for radiotelephony communication correctionOnline resources: Click here to access online In: INTERNATIONAL JOURNAL OF EDUCATION AND INFORMATION TECHNOLOGIES 10 (2016) ; str. 251-256Summary: Air The task of air traffic control is to maintain a safe, orderly and expeditious flow of air traffic and to provide advice and information useful for conduct of flights. Air traffic control students undergo a complex and extensive training before they start working on the live frequency. This paper proposes development and introduction of a language technology system in the learning and training process - the proposed system should spot deviations from the standard usage of prescribed radiotelephony language. The system consists of Radiotelephony Phraseology Corpus, Acoustic and Lexical Model for Automatic Speech Recognition for English Language Using Hidden Markov Model Toolkit Tools and System for Control of Radiotelephony Communication Using MATLAB Software Package. The corpus consists of altogether 25828 words and 1733 distinct words. The result of recognition of acoustic and lexical model for automatic speech recognition on the word level and the sentence level is 100%. It correctly recognizes continuous speech of different speakers and transforms uttered messages into a written text. System for control of radiotelephony communication recognizes and reports the deviations from the prescribed radiotelephony communication but does not recognize errors that occur during readbacks
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Air The task of air traffic control is to maintain a safe, orderly and expeditious flow of air traffic and to provide advice and information useful for conduct of flights. Air traffic control students undergo a complex and extensive training before they start working on the live frequency. This paper proposes development and introduction of a language technology system in the learning and training process - the proposed system should spot deviations from the standard usage of prescribed radiotelephony language. The system consists of Radiotelephony Phraseology Corpus, Acoustic and Lexical Model for Automatic Speech Recognition for English Language Using Hidden Markov Model Toolkit Tools and System for Control of Radiotelephony Communication Using MATLAB Software Package. The corpus consists of altogether 25828 words and 1733 distinct words. The result of recognition of acoustic and lexical model for automatic speech recognition on the word level and the sentence level is 100%. It correctly recognizes continuous speech of different speakers and transforms uttered messages into a written text. System for control of radiotelephony communication recognizes and reports the deviations from the prescribed radiotelephony communication but does not recognize errors that occur during readbacks

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