Categories
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Human-centered machine learning for music emotion recognition
All about my PhD thesis!
Polarization through Colombian not-so-popular music and algorithms: appraisal guided musically induced emotions
Initial tests
Music Emotion Recognition: Toward new, robust standards in personalized and context-sensitive applications
This paper presents a review of the challenges and limitations of Music Emotion Recognition (MER), an interdisciplinary research area addressing the characterization of music in terms of emotion. It analyzes music in order to computationally predict the emotions perceived by or induced to a listener.
Music Enthusiasts platform
Our platform allows you to learn about music and emotions, discover music from around the world, and personalize your own emotion recognition model.
Let's agree to disagree: Consensus Entropy Active Learning for Personalized Music Emotion Recognition
Our results suggest that our methodology can be beneficial to produce personalized classification models that exhibit different results depending on the algorithms' complexity.