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We investigate correlations among pitches in several songs and pieces of piano music by mapping them to one-dimensional walks. Two kinds of correlations are studied, one is related to the real values of frequencies while they are treated…

adap-org · Physics 2008-02-03 Yu Shi

We show that, when music pieces are cast in the form of time series of pitch variations, the concepts and tools of dynamical systems theory can be applied to the analysis of {\it temporal dynamics} in music. (i) Phase space portraits are…

chao-dyn · Physics 2009-10-22 Jean Pierre Boon , Olivier Decroly

The abstraction of musical structures (notes, melodies, chords, harmonic or rhythmic progressions, etc.) as mathematical objects in a geometrical space is one of the great accomplishments of contemporary music theory. Building on this…

Sound · Computer Science 2019-05-07 Marco Buongiorno Nardelli

Quantum cognition emerged as an important discipline of mathematical psychology during the last two decades. Using abstract analogies between mental phenomena and the formal framework of physical quantum theory, quantum cognition…

Neurons and Cognition · Quantitative Biology 2019-01-21 Peter beim Graben , Reinhard Blutner

This paper presents a geometric approach to pitch estimation (PE)-an important problem in Music Information Retrieval (MIR), and a precursor to a variety of other problems in the field. Though there exist a number of highly-accurate…

Sound · Computer Science 2020-12-09 Tom Goodman , Karoline van Gemst , Peter Tino

The relationship between perceptual loudness and physical attributes of sound is an important subject in both computer music and psychoacoustics. Early studies of "equal-loudness contour" can trace back to the 1920s and the measured…

Sound · Computer Science 2022-11-01 Yang Qu , Yutian Qin , Lecheng Chao , Hangkai Qian , Ziyu Wang , Gus Xia

The perception of consonance/dissonance of musical harmonies is strongly correlated with their periodicity. This is shown in this article by consistently applying recent results from psychophysics and neuroacoustics, namely that the just…

Sound · Computer Science 2018-11-21 Frieder Stolzenburg

The concept of complexity as considered in terms of its algorithmic definition proposed by G.J. Chaitin and A.N. Kolmogorov is revisited for the dynamical complexity of music. When music pieces are cast in the form of time series of pitch…

Physics and Society · Physics 2009-03-23 Jean Pierre Boon

There has been an everlasting discussion around the concept of form in music. This work is motivated by such debate by using a complex systems framework in which we study the form as an emergent property of rhythm. Such a framework…

Audio and Speech Processing · Electrical Eng. & Systems 2022-07-11 Blas Kolic , Mateo Tonatiuh Rodriguez-Cervantes , Pablo Padilla-Longoria , Francis Knights

How do different musical traditions achieve tonal coherence? Most computational measures to date have analysed tonal coherence in terms of a single dimension, whereas a multi-dimensional analyses have not been sufficiently explored. We…

Sound · Computer Science 2026-03-31 Weilun Xu , Edward Hall , Martin Rohrmeier

Pitch and timing information work hand in hand to create a coherent piece of music; but what happens when this information goes against the norm? Relationships between musical expectancy and emotional responses were investigated in a study…

Neurons and Cognition · Quantitative Biology 2017-08-15 Sarah A. Sauvé , Aminah Sayed , Roger T. Dean , Marcus T. Pearce

Music is a structured and perceptually rich sequence of sounds in time, whose perception is shaped by the interplay of expectation and uncertainty about what comes next. Yet the uncertainty we infer from music depends on how the musical…

Physics and Society · Physics 2026-03-12 Lluc Bono Rosselló , Robert Jankowski , Hugues Bersini , Marián Boguñá , M. Ángeles Serrano

If our aesthetic preferences are affected by fractal geometry of nature, scaling regularities would be expected to appear in all art forms, including music. While a variety of statistical tools have been proposed to analyze time series in…

Pattern Formation and Solitons · Physics 2023-04-05 John McDonough , Andrzej Herczyński

While Large Language Models (LLMs) make symbolic music generation increasingly accessible, producing music with distinctive composition and rich expressiveness remains a significant challenge. Many studies have introduced emotion models to…

Sound · Computer Science 2025-11-19 Dengyun Huang , Yonghua Zhu

The melodic consonance of a sequence of tones is explained using the overtone series: the overtones form "flow lines" that link the tones melodically; the strength of these flow lines determines the melodic consonance. This hypothesis…

Neurons and Cognition · Quantitative Biology 2007-05-23 Jared E. Anderson

Mathematical music theory has assumed without proof that musical notes can be associated with the equivalence classes of $\mathbb{Z}_n$. We contest the triviality of this assertion, which we call the Pitch-class Integer Theorem (PCIT).…

History and Overview · Mathematics 2024-03-08 Caleb Scott Alons

The average individual is typically a mediocre singer, with a rather restricted capacity to sing a melody in tune. Yet when many singers are assembled to perform collectively, the resulting melody of the crowd is suddenly perceived by an…

Physics and Society · Physics 2016-11-23 Lucas Lacasa

The human sense of hearing perceives a combination of sounds 'in tune' if the corresponding harmonic spectra are correlated, meaning that the neuronal excitation pattern in the inner ear exhibits some kind of order. Based on this…

Classical Physics · Physics 2012-04-10 Haye Hinrichsen

There is a wide variety of music similarity detection algorithms, while discussions about music plagiarism in the real world are often based on audience perceptions. Therefore, we aim to conduct a study to examine the key criteria of human…

Sound · Computer Science 2026-01-07 Daeun Hwang , Hyeonbin Hwang

Automatic melody generation for pop music has been a long-time aspiration for both AI researchers and musicians. However, learning to generate euphonious melody has turned out to be highly challenging due to a number of factors.…