@inproceedings{f545ece1a9994033b2198667659e7c16,
title = "A Novel Dataset for the Identification of Computer Generated Melodies in the CSMT Challenge",
abstract = "This paper introduces a novel dataset for the identification of computer generated melodies as used in the data challenge organised by the Conference on Sound and Music Technology (CSMT). 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 consists of two parts: a development dataset and an 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 facilitate the develpment and assessment of methods to identified computer generated melodies and facilitate the creation of generative music systems.",
keywords = "Computer generated melody identification, Dataset, Melody clustering",
author = "Shengchen Li and Yinji Jing and Gy{\"o}rgy Fazekas",
note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 8th Conference on Sound and Music Technology, CSMT 2020 ; Conference date: 05-11-2020 Through 08-11-2020",
year = "2021",
doi = "10.1007/978-981-16-1649-5_15",
language = "English",
isbn = "9789811616488",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "177--186",
editor = "Xi Shao and Kun Qian and Li Zhou and Xin Wang and Ziping Zhao",
booktitle = "Proceedings of the 8th Conference on Sound and Music Technology - Selected Papers from CSMT",
}