Deep Learning Approaches for Bimodal Speech Emotion Recognition: Advancements, Challenges, and a Multi-Learning Model
In: IEEE Access, Jg. 11 (2023), S. 113769-113789
Online
academicJournal
Zugriff:
Titel: |
Deep Learning Approaches for Bimodal Speech Emotion Recognition: Advancements, Challenges, and a Multi-Learning Model
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Autor/in / Beteiligte Person: | Kakuba, S. ; Poulose, A. ; Han, D.S. |
Link: | |
Zeitschrift: | IEEE Access, Jg. 11 (2023), S. 113769-113789 |
Veröffentlichung: | 2023 |
Medientyp: | academicJournal |
ISSN: | 2169-3536 (print) |
DOI: | 10.1109/ACCESS.2023.3325037 |
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