Emotion Recognition on Edge Devices: Training and Deployment

Emotion recognition, among other natural language processing tasks, has greatly benefited from the use of large transformer models. Deploying these models on resource-constrained devices, however, is a major challenge due to their computational cost. In this paper, we show that the combination of la...

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Detalles Bibliográficos
Autores principales: Pandelea, Vlad, Ragusa, Edoardo, Apicella, Tommaso, Gastaldo, Paolo, Cambria, Erik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271649/
https://www.ncbi.nlm.nih.gov/pubmed/34209251
http://dx.doi.org/10.3390/s21134496

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271649/
https://www.ncbi.nlm.nih.gov/pubmed/34209251
http://dx.doi.org/10.3390/s21134496

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