mlsanityData to 7 Oct 2026

Symbolic music generation conditioned on continuous-valued emotions

arXiv 2203.16165 ↗First posted 30 Mar 2022eess.AS cs.AI cs.MMcited by 12

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Abstract (arXiv)

In this paper we present a new approach for the generation of multi-instrument symbolic music driven by musical emotion. The principal novelty of our approach centres on conditioning a state-of-the-art transformer based on continuous-valued valence and arousal labels. In addition, we provide a new large-scale dataset of symbolic music paired with emotion labels in terms of valence and arousal. We evaluate our approach in a quantitative manner in two ways, first by measuring its note prediction accuracy, and second via a regression task in the valence-arousal plane. Our results demonstrate that our proposed approaches outperform conditioning using control tokens which is representative of the current state of the art.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 37 of its 71 references that are in the map. First posted on arXiv 30 Mar 2022.

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37 of 71 references.

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25 more
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Citing papers per year: 2023: 7; 2024: 2; 2025: 3.

12 papers.