Towards a Computational Model of Melody Identification in Polyphonic Music
Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 459-463.
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.
@inproceedings{ijcai2007p72,
title = {Towards a Computational Model of Melody Identification in Polyphonic Music},
author = {Madsen, Søren Tjagvad and Widmer, Gerhard},
booktitle = {Proceedings of the Twentieth International Joint Conference on
Artificial Intelligence, {IJCAI-07}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ramon López de Mántaras},
pages = {459--463},
year = {2007},
url = {https://ijcai.org/proceedings/2007/72},
}
TY - CPAPER TI - Towards a Computational Model of Melody Identification in Polyphonic Music AU - Madsen, Søren Tjagvad AU - Widmer, Gerhard T2 - Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 PB - International Joint Conferences on Artificial Intelligence PY - 2007 SP - 459 EP - 463 UR - https://ijcai.org/proceedings/2007/72 ER -Copied
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