Multimodal Emotion Detection via Attention-Based Fusion of Extracted Facial and Speech Features

Methods for detecting emotions that employ many modalities at the same time have been found to be more accurate and resilient than those that rely on a single sense. This is due to the fact that sentiments may be conveyed in a wide range of modalities, each of which offers a different and complement...

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Veröffentlicht in:Sensors (Basel, Switzerland) Jg. 23; H. 12; S. 5475
Hauptverfasser: Mamieva, Dilnoza, Abdusalomov, Akmalbek Bobomirzaevich, Kutlimuratov, Alpamis, Muminov, Bahodir, Whangbo, Taeg Keun
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Switzerland MDPI AG 09.06.2023
MDPI
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ISSN:1424-8220, 1424-8220
Online-Zugang:Volltext
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