Symbotunes: unified hub for symbolic music generative models
Pawe{\l} Skier\'s, Maksymilian {\L}azarski, Micha{\l} Kope\'c, Mateusz, Modrzejewski

TL;DR
Symbotunes is an open-source platform that unifies various symbolic music generative models, simplifying comparison, training, and implementation through a standardized pipeline.
Contribution
It provides a unified, open-source framework for symbolic music generation models, easing implementation and comparison across different methods.
Findings
Provides a standardized pipeline for training and generating music
Includes modern Python implementations of key symbolic music models
Facilitates easier comparison and development of music generation methods
Abstract
Implementations of popular symbolic music generative models often differ significantly in terms of the libraries utilized and overall project structure. Therefore, directly comparing the methods or becoming acquainted with them may present challenges. To mitigate this issue we introduce Symbotunes, an open-source unified hub for symbolic music generative models. Symbotunes contains modern Python implementations of well-known methods for symbolic music generation, as well as a unified pipeline for generating and training.
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Taxonomy
TopicsMusic Technology and Sound Studies · Neuroscience and Music Perception · Musicology and Musical Analysis
