@booklet {414,
	title = {Symbolic Music Similarity using Neuronal Periodicity and Dynamic Programming},
	journal = {Mathematics and Computation in Music},
	year = {2015},
	publisher = {Springer},
	address = {London, UK},
	abstract = {We introduce NP-MUS, a symbolic music similarity algorithm tailored for polyphonic music with continuous representations of pitch and duration. The algorithm uses dynamic programming and a cost function that relies on a mathematical model of tonal fusion based on neuronal periodicity detection mechanisms. This paper reviews the general requirements of melodic similarity and offers a similarity method that better addresses contemporary and non-traditional music. We provide experiments based on monophonic and polyphonic excerpts inspired by spectral music and Iannis Xenakis.},
	author = {Valle, Rafael and Freed, Adrian},
	editor = {Springer}
}
