Intelligent Remote Control for TV Program based on Emotion in Arabic Speech
M. Meddeb, H. Karray, Adel M. Alimi

TL;DR
This paper presents an emotion-based Arabic speech recognition system for intelligent TV remote control, enabling personalized recommendations by analyzing user emotions and preferences through speech and behavior observation.
Contribution
It introduces an automatic emotion recognition system for Arabic speech to enhance TV remote control and personalization, which is a novel application in this language context.
Findings
Effective emotion recognition in Arabic speech demonstrated.
Improved personalization of TV recommendations based on emotion analysis.
Potential for more engaging and user-centric TV experiences.
Abstract
Recommender systems for TV program have been studied for the realization of personalized TV Electronic Program Guides. In this paper, we propose automatic emotion Arabic speech recognition in order to achieve an intelligent remote control. In addition, the TV can estimate our interests and preferences by observing our behavior to watch and have a conversation on topics that might be interesting to us.
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Taxonomy
TopicsVideo Analysis and Summarization · Music and Audio Processing · Speech Recognition and Synthesis
