A novel dataset for the identification of computer generated melodies in the CSMT challenge
Sound
2021-12-02 v3 Machine Learning
Audio and Speech Processing
Abstract
In this paper, the dataset used for the data challenge organised by Conference on Sound and Music Technology (CSMT) is introduced. The CSMT data challenge requires participants to identify whether a given piece of melody is generated by computer or is composed by human. The dataset is formed by two parts: development dataset and evaluation dataset. The development dataset contains only computer generated melodies whereas the evaluation dataset contain both computer generated melodies and human composed melodies. The aim of the dataset is to examine whether it is possible to distinguish computer generated melodies by learning the feature of generated melodies.
Keywords
Cite
@article{arxiv.2012.03646,
title = {A novel dataset for the identification of computer generated melodies in the CSMT challenge},
author = {Shengchen Li and Yinji Jing and György Fazekas},
journal= {arXiv preprint arXiv:2012.03646},
year = {2021}
}
Comments
Published by Conference on Sound and Music Technology