Music Theory and Analysis

We introduce phantom curves, a novel music-theoretical concept based on the discrete Fourier transform (DFT), and document the creative process that led to their discovery

We introduce wavescapes, a novel visualization method for tonal hierarchies that combines the visual representation of keyscapes with music analysis based on the discrete Fourier transformation (DFT) and illustrate it by analyzing compositions by Josquin, Bach, Liszt, Chopin, Scriabin, Webern, Coltrane, and Ligeti.

In this study, we use the Latent Dirichlet Allocation (LDA) topic model to discover tonal structures in a corpus of more than 2000 musical pieces from large historical range (ca. 600 years). and that the inferred topics have music-theoretically meaningful interpretations.

This paper presents a web application for visualizing the tonality of a piece of music—the organization of its chords and scales—at a high level of abstraction and with coordinated playback.

On the usefulness of pitch-class distributions for Digital Musicology

Poster presented by Fabian C. Moss