@inproceedings{010f422d912c4e7d9539410b541aa33c,
title = "The data-driven algorithmic composer",
abstract = "The Data-Driven Algorithmic Composer (D-DAC) is an application designed to output data-driven algorithmically composed music via MIDI. The application requires input data to be in tab-separated format to be compatible. Each dataset results in a unique piece of music that remains consistent with each iteration of the application. The only varying elements between each iteration of the same dataset are factors defined by the user: tempo, scale, and intervals between rows. Each measure of the melody, harmony and bassline is derived from each row of the dataset. By utilizing this non-random algorithmic application, users can create a unique and predefined musical iteration of their dataset. The overall aim of the D-DAC is to inspire musical creativity from scientific data and encourage the sharing of datasets between various research communities.",
keywords = "Algorithmic composition, Dataset, Sonification",
author = "J. Fitzpatrick and F. Neff",
note = "Publisher Copyright: {\textcopyright} 2017 Association for Computing Machinery.; 12th International Audio Mostly Conference, AM 2017 ; Conference date: 23-08-2017 Through 26-08-2017",
year = "2017",
month = aug,
day = "23",
doi = "10.1145/3123514.3123549",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
booktitle = "Proceedings of the 12th International Audio Mostly Conference",
address = "United States",
}