Intelligent Remote Control for TV Program based on Emotion in Arabic Speech
This work addresses the need for more personalized and interactive TV experiences for Arabic-speaking users, but it appears incremental as it builds on existing recommender system concepts with a focus on emotion recognition in speech.
The paper tackles the problem of personalized TV program recommendation by proposing an automatic emotion recognition system from Arabic speech to enable intelligent remote control, and it also explores how TV can estimate user interests by observing viewing behavior and conversational topics.
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.