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MusPy A Toolkit for Symbolic Music Generation

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Document pages: 8 pages

Abstract: In this paper, we present MusPy, an open source Python library for symbolicmusic generation. MusPy provides easy-to-use tools for essential components ina music generation system, including dataset management, data I O, datapreprocessing and model evaluation. In order to showcase its potential, wepresent statistical analysis of the eleven datasets currently supported byMusPy. Moreover, we conduct a cross-dataset generalizability experiment bytraining an autoregressive model on each dataset and measuring held-outlikelihood on the others---a process which is made easier by MusPy s datasetmanagement system. The results provide a map of domain overlap between variouscommonly used datasets and show that some datasets contain more representativecross-genre samples than others. Along with the dataset analysis, these resultsmight serve as a guide for choosing datasets in future research. Source codeand documentation are available at this https URL .

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