ASMD: an automatic framework for compiling multimodal datasets with audio and scores
Federico Simonetta,
Stavros Ntalampiras,
Federico Avanzini
Abstract:This paper describes an open-source Python framework for handling datasets for music processing tasks, built with the aim of improving the reproducibility of research projects in music computing and assessing the generalization abilities of machine learning models. The framework enables the automatic download and installation of several commonly used datasets for multimodal music processing. Specifically, we provide a Python API to access the datasets through Boolean set operations based on particular attribut… Show more
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