Not All Roads Lead to Rome: Pitch Representation and Model Architecture for Automatic Harmonic Analysis - Archive ouverte HAL Access content directly
Journal Articles Transactions of the International Society for Music Information Retrieval (TISMIR) Year : 2020

Not All Roads Lead to Rome: Pitch Representation and Model Architecture for Automatic Harmonic Analysis

Abstract

Automatic harmonic analysis has been an enduring focus of the MIR community, and has enjoyed a particularly vigorous revival of interest in the machine-learning age. We focus here on the specific case of Roman numeral analysis which, by virtue of requiring key/functional information in addition to chords, may be viewed as an acutely challenging use case. We report on three main developments. First, we provide a new meta-corpus bringing together all existing Roman numeral analysis datasets; this offers greater scale and diversity, not only of the music represented, but also of human analytical viewpoints. Second, we examine best practices in the encoding of pitch, time, and harmony for machine learning tasks. The main contribution here is the introduction of full pitch spelling to such a system, an absolute must for the comprehensive study of musical harmony. Third, we devised and tested several neural network architectures and compared their relative accuracy. In the best-performing of these models, convolutional layers gather the local information needed to analyse the chord at a given moment while a recurrent part learns longer-range harmonic progressions. Altogether, our best representation and architecture produce a small but significant improvement on overall accuracy while simultaneously integrating full pitch spelling. This enables the system to retain important information from the musical sources and provide more meaningful predictions for any new input.
Fichier principal
Vignette du fichier
2020-tismir-rome.pdf (1.82 Mo) Télécharger le fichier
Origin : Publisher files allowed on an open archive
Loading...

Dates and versions

hal-02934374 , version 1 (09-09-2020)

Licence

Attribution

Identifiers

Cite

Gianluca Micchi, Mark Gotham, Mathieu Giraud. Not All Roads Lead to Rome: Pitch Representation and Model Architecture for Automatic Harmonic Analysis. Transactions of the International Society for Music Information Retrieval (TISMIR), 2020, 3 (1), pp.42-54. ⟨10.5334/tismir.45⟩. ⟨hal-02934374⟩
495 View
283 Download

Altmetric

Share

Gmail Facebook X LinkedIn More