| Title | Symbolic Music Similarity using Neuronal Periodicity and Dynamic Programming |
| Publication Type | Miscellaneous |
| Year of Publication | 2015 |
| Authors | Valle, Rafael [1], and Freed Adrian [2] |
| Secondary Authors | Springer [3] |
| 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. |
Links:
[1] http://www.adrianfreed.com/Publications/author/78
[2] http://www.adrianfreed.com/Publications/author/2
[3] http://www.adrianfreed.com/Publications/author/99
[4] http://www.adrianfreed.com/category/affinity-group/machine-learning-and-ai
[5] http://www.adrianfreed.com/category/affinity-group/sound-and-music-computing