har18: Implementation of Harrison & Pearce’s (2018) Harmonicity Model

Harmonicity is an important predictor of a chord’s consonance. This package provides methods for estimating a chord’s harmonicity, after Harrison & Pearce (2018) and Milne (2013).

Installation

You can install this package from GitHub:

if (!require(devtools)) install.packages("devtools")
devtools::install_github("pmcharrison/har18")

Example usage

A major chord is more harmonic than a diminished chord, as expected:

library(har18)

pc_harmonicity("0 4 7")
#> [1] 0.9373149
pc_harmonicity("0 3 6")
#> [1] 0.7225033

By default, the package implements the method of Harrison & Pearce (2018). Setting the option method = "peak" reproduces the method of Milne (2013).

pc_harmonicity("0 4 7", method = "peak")
#> [1] 0.7170107
pc_harmonicity("0 3 6", method = "peak")
#> [1] 0.5896047

References

Harrison, P. M. C., & Pearce, M. T. (2018). An energy-based generative sequence model for testing sensory theories of Western harmony. In Proceedings of the 19th International Society for Music Information Retrieval Conference. Paris, France. Retrieved from https://arxiv.org/abs/1807.00790

Milne, A. J. (2013). A computational model of the cognition of tonality. The Open University, Milton Keynes, England.