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...
Main Authors: | Pandelea, Vlad, Ragusa, Edoardo, Apicella, Tommaso, Gastaldo, Paolo, Cambria, Erik |
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Other Authors: | School of Computer Science and Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/153915 |
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