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Interpreting Convolutional Layers in DNN Model Based on Time–Frequency Representation of Emotional Speech Cover

Interpreting Convolutional Layers in DNN Model Based on Time–Frequency Representation of Emotional Speech

Journal of Artificial Intelligence and Soft Computing Research
Volume 14 (2024): Issue 1 (January 2024)
By: Lukasz Smietanka and  Tomasz Maka  
Open Access
|Dec 2023
Authors

Authors

Lukasz Smietanka

lsmietanka@zut.edu.pl

Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin, Poland

Tomasz Maka

Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin, Poland
DOI: https://doi.org/10.2478/jaiscr-2024-0001
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Language: English
Page range: 5 - 23
Submitted on: Jun 14, 2023
Accepted on: Nov 15, 2023
Published on: Dec 25, 2023
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
convolutional neural networks,
emotion recognition,
audio features analysis,
explainable machine learning
Related subjects:
Computer sciences,
Databases and data mining,
Artificial intelligence

© 2023 Lukasz Smietanka, Tomasz Maka, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 14 (2024): Issue 1 (January 2024)
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