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A Comparative Study of Speaker Role Identification in Air Traffic Communication Using Deep Learning Approaches. (arXiv:2111.02041v2 [cs.SD] UPDATED)
cs.CL updates on arXiv.org arxiv.org
Automatic spoken instruction understanding (SIU) of the controller-pilot
conversations in the air traffic control (ATC) requires not only recognizing
the words and semantics of the speech but also determining the role of the
speaker. However, few of the published works on the automatic understanding
systems in air traffic communication focus on speaker role identification
(SRI). In this paper, we formulate the SRI task of controller-pilot
communication as a binary classification problem. Furthermore, the text-based,
speech-based, and speech and text based …
air traffic arxiv communication deep learning identification learning role study traffic