{"type":"ScholarlyArticle","title":"Rhythm Inference Helping Writing Music Scores","authors":[{"name":"François Schwarzentruber","slug":"francois-schwarzentruber","given":"François","family":"Schwarzentruber","affiliation":"University of Rennes , IRISA , CNRS , France"}],"abstract":"We present a new problem called rhythm inference. It consists in inferring the duration of each note and each rest from a partial specification.  We then formulate rhythm inference as a constraint satisfaction problem and we use mixed linear programming to solve it. The solution is implemented for a language representing music scores, called abcd. Interestingly, the rhythm is inferred in real-time from partial musical indications.","doi":"10.24963/ijcai.2024/1033","url":"https://ijcai.org/proceedings/2024/1033","pdf":"https://ijcai.org/proceedings/2024/1033.pdf","markdown":"https://ijcai.org/proceedings/2024/1033.md","bibtex":"https://ijcai.org/proceedings/2024/bibtex/1033","volume":{"slug":"2024","title":"Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2024","url":"https://ijcai.org/proceedings/2024/","year":2024,"location":"Jeju, Korea","dates":"3-9 August 2024","editors":"Kate Larson","isbn":"978-1-956792-04-1","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2024"},"section":"Demo Track","track":"Demo Track","number":1033,"pages":{"first":8789,"last":8792},"keywords":["Constraint Satisfaction and Optimization: CSO: Applications","Multidisciplinary Topics and Applications: MDA: Arts and creativity","Constraint Satisfaction and Optimization: CSO: Constraint satisfaction","Constraint Satisfaction and Optimization: CSO: Modeling"],"videos":[],"references":[{"position":1,"raw":"[Benetos et al., 2019] Emmanouil Benetos, Simon Dixon, Zhiyao Duan, and Sebastian Ewert. 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