Smote-2DCNN for enhancing speech emotion recognition
Speech emotion recognition (SER) is a specialized form of audio classification that aims to identify and classify emotional states expressed from spoken language or speech signals. In this study, the main objective is to propose an accurate audio classification model for the SER. This study primaril...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Little Lion Scientific R&D
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/119924/1/119924.pdf http://psasir.upm.edu.my/id/eprint/119924/ https://www.jatit.org/volumes/hundredtwo13.php |
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