Symbolic Music Similarity using Neuronal Periodicity and Dynamic Programming

TitleSymbolic Music Similarity using Neuronal Periodicity and Dynamic Programming
Publication TypeMiscellaneous
Year of Publication2015
AuthorsValle, Rafael, and Freed Adrian
Secondary AuthorsSpringer
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.