|Title||Symbolic Music Similarity using Neuronal Periodicity and Dynamic Programming |
|Publication Type||Miscellaneous |
|Year of Publication||2015 |
|Authors||Valle, Rafael, and Freed Adrian |
|Secondary Authors||Springer |
|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.