AcListant with Continuous Learning: Speech Recognition in Air Traffic Control-Reference-Cited by-同舟云学术

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AcListant with Continuous Learning: Speech Recognition in Air Traffic Control

Published:2021 Issue: Volume: Page:93-109
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Rataj J.,Helmke H.,Ohneiser O.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-33-4669-7_6

Reference23 articles.

1. Single European Sky ATM Research Joint Undertaking, https://www.sesarju.eu. SESAR Joint Undertaking, n.d.

2. Federal Aviation Administration, https://www.faa.gov/nextgen/, Modernization of U.S. Airspace, n.d.

3. Ministry of Land, Infrastructure, Transport and Tourism, https://www.mlit.go.jp/en/koku/koku_fr13_000000.html, Collaborative Actions for Renovation of Air Traffic Systems (CARATS), n.d.

4. International Civil Aviation Organization, https://www.icao.int/Meetings/a39/Documents/WP/wp_304_en.pdf, China’s Strategy for Modernizing Air Traffic Management, n.d.

5. Eurocontrol, “LINK2000+: ATC data link operational guidance in support of DLS regulation,” No 29/2009, vol. 6, 17 December 2012, online available at https://www.skybrary.aero/bookshelf/books/2383.pdf

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An effective speaker adaption using deep learning for the identification of speakers in emergency situation;Multimedia Tools and Applications;2024-07-02

2. Integrating Eye- and Mouse-Tracking with Assistant Based Speech Recognition for Interaction at Controller Working Positions;Aerospace;2021-09-03

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