Tonal Mode Detection Based on the Triple Composite Signature of Fifths

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Authors: Tomasz Łukaszewicz, Zuzanna Kania, Dariusz Kania
Cited by: 0
References: 33

Abstract

In this article, a novel algorithm for tonal mode classification utilizing the signature of fifths is presented. The proposed method is an extension of previously developed algorithms used for determining the key and key signature within the Western tonal system. The core idea of the algorithm is to analyze the entire piece as well as its most important excerpts, namely, the beginning and the end. The analysis of these three samples (beginning, end, and entire piece) involves the calculation of their corresponding signatures of fifths, which constitute two-dimensional sets of vectors inscribed in the circle of fifths. The length of each vector comprising the signature of fifths corresponds to the multiplicity of notes associated with a particular pitch class, while its direction is related to the position of that pitch class with respect to the circle of fifths. Based on the obtained signatures of fifths, the so-called Triple Composite Signature of Fifths is created, for which both the main directed axis and the major/minor mode axis are determined. Tonal mode is then established heuristically, based on the values of angles between the characteristic vectors of each sample’s signature of fifths and the major/minor mode axis of the Triple Composite Signature of Fifths. The process of tonal mode classification involves defining a tonal mode indicator, which assumes the values of 1 for major and −1 for minor tonality. To evaluate the effectiveness of the developed algorithm, a series of experiments was carried out using datasets of works from the Romantic period by F. Chopin and F. Schubert, as well as piano compositions from various eras. The results confirmed the high effectiveness of the proposed method in identifying tonal mode.

Fields of Study & Subjects

Music and Audio Processing Music Technology and Sound Studies Musicology and Musical Analysis

Publication details

Journal / source
Applied Sciences
Volume
16
Issue
3
Pages
1409–1409
Publication date
30 January 2026
Language
EN