A Novel Multi-Task and Ensembled Optimized Parallel Convolutional Autoencoder and Transformer for Speech Emotion Recognition
Recognizing the emotions from speech signals is very important in different applications of human-computer-interaction (HCI). In this paper, we present a novel model for speech emotion recognition (SER) based on new multi-task parallel convolutional autoencoder (PCAE) and transformer networks. The P...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Amirkabir University of Technology
2024-03-01
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| Series: | AUT Journal of Electrical Engineering |
| Subjects: | |
| Online Access: | https://eej.aut.ac.ir/article_5336_945e73b38cfede1308072d0f634d7969.pdf |
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