There is an uncountable number of different ways of characterizing almost any given real-
world stimulus. This necessitates finding stimulus features that are perceptually relevant …

Claude Debussy's personal style is typically characterised as a departure from earlier
diatonic tonality, including a greater variety of pitch-class materials organised in fragmented …

This study examines pitch-class distributions in a large body of tonal music from the
seventeenth, eighteenth and nineteenth centuries using the DFT on pitch-class sets. The …

The music-theoretic idea of a Tonnetz can be generalized at different levels: as a network of
chords relating by maximal intersection, a simplicial complex in which vertices represent …

We implement a novel approach to automatic harmonic analysis using a clustering method
on pitch-class vectors (chroma vectors). The advantage of this method is its lack of top-down …

This article examines macroharmony through the lens of the discrete Fourier transform (DFT)
using computational analysis. It first introduces the DFT, giving an interpretive framework to …

How might artificial neural networks (ANNs) inform cognitive science? Often cognitive
scientists use ANNs but do not examine their internal structures. In this paper, we use ANNs …

The discrete Fourier transform is a mathematically robust way of modeling various musical
phenomena. I use the music21 Python module to interpret the pitch classes of an encoded …

Motivated through recent applications of quantum theory to the music-theoretical
conceptualisation of tonal attraction, the paper recapitulates basic facts about quantum wave …

Recent years have seen the emergence of concerted efforts for consolidating and curating
digital libraries of musical analyses. This is a welcome development that stands to …