Medley2K: A Dataset of Medley Transitions
Sound
2020-08-26 v1 Machine Learning
Audio and Speech Processing
Abstract
The automatic generation of medleys, i.e., musical pieces formed by different songs concatenated via smooth transitions, is not well studied in the current literature. To facilitate research on this topic, we make available a dataset called Medley2K that consists of 2,000 medleys and 7,712 labeled transitions. Our dataset features a rich variety of song transitions across different music genres. We provide a detailed description of this dataset and validate it by training a state-of-the-art generative model in the task of generating transitions between songs.
Keywords
Cite
@article{arxiv.2008.11159,
title = {Medley2K: A Dataset of Medley Transitions},
author = {Lukas Faber and Sandro Luck and Damian Pascual and Andreas Roth and Gino Brunner and Roger Wattenhofer},
journal= {arXiv preprint arXiv:2008.11159},
year = {2020}
}
Comments
MML 2020 - 13th Int. Workshop on Machine Learning and Music at ECML-PKDD 2020