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Comparing supervised and unsupervised approaches to multimodal emotion recognition

We investigated emotion classification from brief video recordings from the GEMEP database wherein actors portrayed 18 emotions. Vocal features consisted of acoustic parameters related to frequency, intensity, spectral distribution, and durations. Facial features consisted of facial action units. We...

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Detalles Bibliográficos
Autores principales:	Fernández Carbonell, Marcos, Boman, Magnus, Laukka, Petri
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	PeerJ Inc. 2021
Materias:	Computer Vision
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8725659/ https://www.ncbi.nlm.nih.gov/pubmed/35036530 http://dx.doi.org/10.7717/peerj-cs.804

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