%0 Generic %1 sulun2022symbolic %A Sulun, Serkan %A Davies, Matthew E. P. %A Viana, Paula %D 2022 %K emotions generation %R 10.1109/ACCESS.2022.3169744 %T Symbolic music generation conditioned on continuous-valued emotions %U http://arxiv.org/abs/2203.16165 %X 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.

@misc{sulun2022symbolic, abstract = {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.}, added-at = {2023-04-21T11:20:22.000+0200}, author = {Sulun, Serkan and Davies, Matthew E. P. and Viana, Paula}, biburl = {https://www.bibsonomy.org/bibtex/24377853878b15b0f50688276b20a76e4/alex_h}, description = {[2203.16165] Symbolic music generation conditioned on continuous-valued emotions}, doi = {10.1109/ACCESS.2022.3169744}, interhash = {c0c0406eb1fd0614a346f42079495ae8}, intrahash = {4377853878b15b0f50688276b20a76e4}, keywords = {emotions generation}, note = {cite arxiv:2203.16165Comment: Published in IEEE Access}, timestamp = {2023-04-21T11:20:22.000+0200}, title = {Symbolic music generation conditioned on continuous-valued emotions}, url = {http://arxiv.org/abs/2203.16165}, year = 2022 }