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Aviation Profiling Method Based on Deep Learning Technology for Emotion Recognition by Speech Signal Cover

Aviation Profiling Method Based on Deep Learning Technology for Emotion Recognition by Speech Signal

Transport and Telecommunication Journal
Volume 22 (2021): Issue 4 (November 2021)
By: К.Т. Koshekov,  А.А. Savostin,  B.K. Seidakhmetov,  R.K. Anayatova and  I.O. Fedorov  
Open Access
|Nov 2021
Authors

Authors

К.Т. Koshekov

JSC “Civil Aviation Academy”, Almaty, Kazakhstan

А.А. Savostin

M. Kozybayev North-Kazakhstan University Petropavlovsk

B.K. Seidakhmetov

JSC “Civil Aviation Academy”, Almaty, Kazakhstan

R.K. Anayatova

JSC “Civil Aviation Academy”, Almaty, Kazakhstan

I.O. Fedorov

JSC “Civil Aviation Academy”, Almaty, Kazakhstan
DOI: https://doi.org/10.2478/ttj-2021-0037 | Journal eISSN: 1407-6179 | Journal ISSN: 1407-6160
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Language: English
Page range: 471 - 481
Published on: Nov 20, 2021
Published by: Transport and Telecommunication Institute
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
aviation profiling,
emotion recognition,
speech signal,
neural network
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2021 К.Т. Koshekov, А.А. Savostin, B.K. Seidakhmetov, R.K. Anayatova, I.O. Fedorov, published by Transport and Telecommunication Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 22 (2021): Issue 4 (November 2021)
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