A novel dataset for the identification of computer generated melodies in the CSMT challenge
This dataset provides a benchmark for researchers to develop methods for identifying computer-generated melodies, which is a problem for music information retrieval and intellectual property.
This paper introduces a dataset for the CSMT challenge, which aims to distinguish computer-generated melodies from human-composed ones. The dataset is split into a development set of only computer-generated melodies and an evaluation set containing both types.
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.