Towards a Computational Model of Melody Identification in Polyphonic Music
Abstract
This paper presents first steps towards a simple, robust computational model of automatic melody identification. Based on results from music psychology that indicate a relationship between melodic complexity and a listener's attention, we postulate a relationship between musical complexity and the probability of a musical line to be perceived as the melody. We introduce a simple measure of melodic complexity, present an algorithm for predicting the most likely melody note at any point in a piece, and show experimentally that this simple approach works surprisingly well in rather complex music. URL: http://www.ofai.at/~soren.madsen/pub/ijcai07.pdf
Cite
Text
Madsen and Widmer. "Towards a Computational Model of Melody Identification in Polyphonic Music." International Joint Conference on Artificial Intelligence, 2007.Markdown
[Madsen and Widmer. "Towards a Computational Model of Melody Identification in Polyphonic Music." International Joint Conference on Artificial Intelligence, 2007.](https://mlanthology.org/ijcai/2007/madsen2007ijcai-computational/)BibTeX
@inproceedings{madsen2007ijcai-computational,
title = {{Towards a Computational Model of Melody Identification in Polyphonic Music}},
author = {Madsen, Søren Tjagvad and Widmer, Gerhard},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2007},
pages = {459-464},
url = {https://mlanthology.org/ijcai/2007/madsen2007ijcai-computational/}
}