2016
INTERSPEECH
INTERSPEECH 2016
A Multimodal Dialogue System for Air Traffic Control Trainees Based on Discrete-Event Simulation
Abstract
In this paper we present a multimodal dialogue system designed as a learning tool for air traffic control officer trainees (ATCO). It was developed using our discrete-event simulation dialogue management framework with cloud-based speech recognition and text-to-speech systems. Our system mimics pilots in an air traffic communication, allowing the ATCOs to practice a control of a virtual airspace using spoken commands from air traffic control English phraseology.
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Conference Pioneer
— INTERSPEECH 2016
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Interdisciplinary Bridge
— Natural Language Processing and Speech & Audio
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Keyword Pioneer
— air traffic control
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio