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

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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

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,

Related subjects:

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.

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