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Whether or not emotion in music can change over time is not a question that requires discussion. As the interest in continuous emotion prediction grows, there is a greater need for tools that are suitable for dimensional emotion tracking. In this paper, we propose a novel Continuous Conditional Neural Fields model that is designed specifically for such a problem. We compare our approach with a similar...
Continuous emotion prediction in the arousal-valence space is now being used in various modalities: music, facial expressions, gestures, text, etc. In order to be able to compare the work of different research groups effectively, we believe it is necessary to set certain guidelines for how to conduct research-the choice of evaluation metrics of emotion recognition algorithms in particular. In this...
Digitization of how people acquire music calls for better music information retrieval techniques, and dimensional emotion tracking is increasingly seen as an attractive approach. Unfortunately, the majority of models we still use are borrowed from other problems that do not suit emotion prediction well, as most of them tend to ignore the temporal dynamics present in music and/or the continuous nature...
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