ArticleFrontiers in psychology2022
EmotionBox: A music-element-driven emotional music generation system based on music psychology.
Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Human-AI emotional resonance in generative music: a mini-review of authorship attribution, affective response, and aesthetic evaluation.Frontiers in psychology · 2026Review
- EEG-driven automatic generation of emotive music based on transformer.Frontiers in neurorobotics · 2024Article
- Semi-supervised emotion-driven music generation model based on category-dispersed Gaussian Mixture Variational Autoencoders.PloS one · 2024Article
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8 authors.
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Abstract
With the development of deep neural networks, automatic music composition has made great progress. Although emotional music can evoke listeners' different auditory perceptions, only few research studies have focused on generating emotional music. This paper presents EmotionBox -a music-element-driven emotional music generator based on music psychology that is capable of composing music given a specific emotion, while this model does not require a music dataset labeled with emotions as previous methods. In this work, pitch histogram and note density are extracted as features that represent mode and tempo, respectively, to control music emotions. The specific emotions are mapped from these features through Russell's psychology model. The subjective listening tests show that the Emotionbox has a competitive performance in generating different emotional music and significantly better performance in generating music with low arousal emotions, especially peaceful emotion, compared with the emotion-label-based method.
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