Fourier Phase and Pitch-Class Sum
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Generalized Tonnetze and Zeitnetz, and the Topology of Music Concepts
June 25, 2019 Journal of Mathematics and Music tonnetzTopologyRev Submitted exclusively to the Journal of Mathematics and Music Last compiled on June 25, 2019 Generalized Tonnetze and Zeitnetz, and the Topology of Music Concepts Jason Yust∗ School of Music, Boston University () 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 notes and simplices represent chords, and as a triangulation of a manifold or other geomet- rical space. The geometrical construct is of particular interest, in that allows us to represent inherently topological aspects to important musical concepts. Two kinds of music-theoretical geometry have been proposed that can house Tonnetze: geometrical duals of voice-leading spaces, and Fourier phase spaces. Fourier phase spaces are particularly appropriate for Ton- netze in that their objects are pitch-class distributions (real-valued weightings of the twelve pitch classes) and proximity in these space relates to shared pitch-class content. They admit of a particularly general method of constructing a geometrical Tonnetz that allows for interval and chord duplications in a toroidal geometry. The present article examines how these du- plications can relate to important musical concepts such as key or pitch-height, and details a method of removing such redundancies and the resulting changes to the homology the space. The method also transfers to the rhythmic domain, defining Zeitnetze for cyclic rhythms. A number of possible Tonnetze are illustrated: on triads, seventh chords, ninth-chords, scalar tetrachords, scales, etc., as well as Zeitnetze on a common types of cyclic rhythms or time- lines. -
A Multi-Level Tonal Interval Space for Modelling Pitch Relatedness and Musical Consonance
Journal of New Music Research, 2016 Vol. 45, No. 4, 281–294, http://dx.doi.org/10.1080/09298215.2016.1182192 A multi-level tonal interval space for modelling pitch relatedness and musical consonance Gilberto Bernardes1 ,DiogoCocharro1,MarceloCaetano1 ,CarlosGuedes1,2 and Matthew E.P. Davies1 1INESC TEC, Portugal; 2New York University Abu Dhabi, United Arab Emirates (Received 12 March 2015; accepted 18 April 2016) Abstract The intelligibility and high explanatory power of tonal pitch spaces usually hide complex theories, which need to account In this paper we present a 12-dimensional tonal space in the for a variety of subjective and contextual factors. To a certain context of the ,Chew’sSpiralArray,andHarte’s Tonnetz extent, the large number of different, and sometimes con- 6-dimensional Tonal Centroid Space. The proposed Tonal tradictory, tonal pitch spaces presented in the literature help Interval Space is calculated as the weighted Discrete Fourier us understand the complexity of such representations. Exist- Transform of normalized 12-element chroma vectors, which ing tonal spaces can be roughly divided into two categories, we represent as six circles covering the set of all possible pitch each anchored to a specific discipline and applied methods. intervals in the chroma space. By weighting the contribution On the one hand we have models grounded in music theory of each circle (and hence pitch interval) independently, we (Cohn, 1997, 1998;Lewin,1987;Tymoczko,2011; Weber, can create a space in which angular and Euclidean distances 1817–1821), and on the other hand, models based on cogni- among pitches, chords, and regions concur with music theory tive psychology (Krumhansl, 1990;Longuet-Higgins,1962; principles. -
The Tonal Diffusion Model.Transactions of the International Society for Music Information Retrieval,3(1), Pp
Lieck, R., et al. (2020). The Tonal Diffusion Model.Transactions of the International Society for Music Information Retrieval,3(1), pp. 7,60,5 153–164. DOI: https://doi.org/10.5334/tismir.46 RESEARCH The Tonal Diffusion Model Robert Lieck, Fabian C. Moss and Martin Rohrmeier Pitch-class distributions are of central relevance in music information retrieval, computational musicology and various other fields, such as music perception and cognition. However, despite their structure being closely related to the cognitively and musically relevant properties of a piece, many existing approaches treat pitch-class distributions as fixed templates. In this paper, we introduce the Tonal Diffusion Model, which provides a more structured and interpretable statistical model of pitch-class distributions by incorporating geometric and algebraic structures known from music theory as well as insights from music cognition. Our model explains the pitch-class distributions of musical pieces by assuming tones to be generated through a latent cognitive process on the Tonnetz, a well-established representation for harmonic relations. Specifically, we assume that all tones in a piece are generated by taking a sequence of interval steps on the Tonnetz starting from a unique tonal origin. We provide a description in terms of a Bayesian generative model and show how the latent variables and parameters can be efficiently inferred. The model is quantitatively evaluated on a corpus of 248 pieces from the Baroque, Classical, and Romantic era and describes the empirical pitch-class distributions more accurately than conventional template-based models. On three concrete musical examples, we demonstrate that our model captures relevant harmonic characteristics of the pieces in a compact and interpretable way, also reflecting stylistic aspects of the respective epoch. -
Interval Vectors
Ilhan M. Izmirli George Mason University [email protected] The exploration of the profound and intrinsic cohesion between mathematics and music is certainly nothing new – it actually dates all the way back to Pythagoras (c. 570 BCE – c. 495 BCE). However, the introduction of the dodecaphonic (twelve-tone) system developed by Arnold Schoenberg (1874 – 1951) has taken this study to entirely new levels, and has instituted such concepts as set theory, ordered sets, vectors, and various types of spaces as useful tools in music theory. In this paper we will look into one of these tools, namely the notion of interval vectors. Around 1908, the Viennese composer Arnold Schoenberg developed a system of pitch organization in which all twelve unique pitches were to be arranged into an ordered row. This row and the rows obtained from it by various basic operations were then used to generate entire pitch contents, giving rise to a method of composition now usually referred to as the dodecaphonic (twelve-tone) system or serialism. This new system not only bolstered the existing ties between mathematics and music, but helped introduce some new ones as well. In fact, the field of musical set theory was developed by Hanson (1960) and Forte (1973) in an effort to categorize musical objects and describe their relationships in this new setting. For more information see Schuijer (2008) and Morris (1987). Let us first review the basic terminology, starting with a notational convention. We will call the octave from middle 퐶 to the following 퐵 the standard octave. If 퐶 denotes the middle 퐶, we will use the convention 퐶 = 0. -
Geometric and Transformational
GENERIC (MOD-7) GEOMETRIC AND TRANSFORMATIONAL APPROACHES TO VOICE LEADING IN TONAL MUSIC Leah Frederick Submitted to the faculty of the University Graduate School in partial fulfillment of the requirements for the degree Doctor of Philosophy in the Jacobs School of Music, Indiana University May 2020 Accepted by the Graduate Faculty, Indiana University, in partial fulfillment of the requirements for the degree of Doctor of Philosophy. Doctoral Committee ______________________________________ Julian Hook, Ph.D. Research Director ______________________________________ Richard Cohn, Ph.D. ______________________________________ Andrew Mead, Ph.D. ______________________________________ Christopher Raphael, Ph.D. ______________________________________ Frank Samarotto, Ph.D. April 10, 2020 ii Copyright © 2020 Leah Frederick iii ACKNOWLEDGEMENTS There has been perhaps no better time than now, in our socially distanced society of April 2020, to acknowledge the individuals and communities who have provided support and encouragement over the past few years. First and foremost, I wish to thank my advisor, Jay Hook, for his meticulous attention to detail, for his mentorship on navigating academia, and for sharing his enthusiasm of both music and mathematics. Perhaps more than any of those, however, I’m grateful for the encouragement and confidence that he has offered during the many moments when I’ve doubted myself. I also wish to recognize the rest of my dissertation committee, Rick Cohn, Andy Mead, Frank Samarotto, and Chris Raphael, for their willingness to serve on my committee and for their helpful feedback. I further extend gratitude to the entire music theory faculty at Indiana University. During my four years in Bloomington, each and every faculty member contributed to shaping my values and ways of thinking about music. -
The Geometry of Tonal Space
BRIDGES Mathematical Connections in Art, Mnsic, and Science Hearing With Our Eyes: The Geometry of Tonal Space Julian L. Hook School of Music Penn State University University Park, PA 16802-1901 E-mail: [email protected] There is no intrinsic reason why musical structures should be represented graphically. Music is, after aU, an auditory phenomenon. It consists of vibrations transmitted through the air as sound waves, received by our ears and processed by our brains as acoustic data. Visual aspects of music-the arrangement of musicians on a stage or of notes on a page, the gyrations of the conductor, the shine of the piano-are of secondary importance in our understanding and appreciation of a musical work. Most human beings, however, are visually oriented. We rely on our eyes more than our ears or any of our other sense organs in finding our way around, identifying other people and objects, and learning new information. Because of this dependence on the visual world, most people find abstract concepts easier to grasp if they can somehow be visualized: if some sort of graphical, geometric representation can be devised showing, if only metaphorically, the important elements of the conceptual framework and their relationships with each other. Even if these elements exist in sound and time rather than in light and space, such a representation may help us to get our bearings and to interpret what we hear. Pitches, chords, and key areas are examples of musical elements that lend themselves well to graphical depiction. Many music theorists through the centuries have drawn diagrams showing the appearance of "tonal space" from various perspectives. -
Inversion in Music Jonathan Dimond, Phd
INTRODUCTION TO INVERSION IN MUSIC JONATHAN DIMOND, PHD C B C# A# D A D# G# E G F F# Edition: December, 2020 INTRODUCTION ..............................................................................................3 Terminology and enquiry ...........................................................................................4 INVERSION IN PITCH SPACE ...........................................................................7 INVERSION IN PITCH REGISTER ....................................................................13 INVERSION IN PITCH-CLASS SPACE ...............................................................15 Comparison of inversion in pitch space, register and pitch-class space ........................19 INVERSION IN RHYTHM ...............................................................................22 CONCLUSION ...............................................................................................29 BIBLIOGRAPHY .............................................................................................30 C B C# A# D A D# G# E G F F# INTRODUCTION Inversion is a concept that is found broadly within the musical fields of music theory, counterpoint, harmony, composition, aural training, notation, and the practice of musical instruments. It is based upon the over-arching concept of symmetry – a trait found in all the arts.1 This paper aims to alert the musician of the multitude of interpretations of the term inversion, to amalgamate different approaches and terminology into one reference document, as well as to -
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View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by K-State Research Exchange Some properties of non-octave-repeating scales, and why composers might care Craig Weston How to cite this presentation If you make reference to this version of the manuscript, use the following information: Weston, C. (2012, October). Some properties of non-octave-repeating scales, and why composers might care. Retrieved from http://krex.ksu.edu Citation of Unpublished Symposium Citation: Weston, C. (2012, October). Some properties of non-octave-repeating scales, and why composers might care. Paper presented at the Society of Composers, Inc., 2012 Region VI Conference, Canyon, TX. This item was retrieved from the K-State Research Exchange (K-REx), the institutional repository of Kansas State University. K-REx is available at http://krex.ksu.edu Some Properties of Non-Octave-Repeating Scales, and Why Composers Might Care Craig Weston, Kansas State University SCI 2012 Region VI Conference Paper Presentation (Oral presentation version) This paper focuses on the family of scales can be generated using interval patterns that repeat at some modular interval other than the octave. These scales and the compositional syntaxes one might build from them have some very interesting properties. Of particular interest are various hybrids of pitch and pitch-class interval structures, common tones under transposition, and the possibilities for modulations of different nearness or distantness. I’ll begin by discussing the derivation of these scales and some of their properties. I will offer several comparisons and contrasts to more familiar octave-repeating scales and the compositional systems they have sparked. -
Musical Actions of Dihedral Groups
Musical Actions of Dihedral Groups Alissa S. Crans, Thomas M. Fiore, and Ramon Satyendra 1. INTRODUCTION. Can you hear an action of a group? Or a centralizer? If knowl- edge of group structures can influence how we see a crystal, perhaps it can influence how we hear music as well. In this article we explore how music may be interpreted in terms of the group structure of the dihedral group of order 24 and its centralizer by explaining two musical actions.1 The dihedral group of order 24 is the group of symmetries of a regular 12-gon, that is, of a 12-gon with all sides of the same length and all angles of the same measure. Algebraically, the dihedral group of order 24 is the group generated by two elements, s and t, subject to the three relations s12 = 1, t 2 = 1, tst = s−1. The first musical action of the dihedral group of order 24 we consider arises via the familiar compositional techniques of transposition and inversion. A transposition moves a sequence of pitches up or down. When singers decide to sing a song in a higher register, for example, they do this by transposing the melody. An inversion, on the other hand, reflects a melody about a fixed axis, just as the face of a clock can be reflected about the 0-6 axis. Often, musical inversion turns upward melodic motions into downward melodic motions.2 One can hear both transpositions and inversions in many fugues, such as Bernstein’s “Cool” fugue from West Side Story or in Bach’s Art of Fugue. -
Pitch-Frequency Histogram-Based Music Information Retrieval for Turkish Music
ARTICLE IN PRESS Signal Processing 90 (2010) 1049–1063 Contents lists available at ScienceDirect Signal Processing journal homepage: www.elsevier.com/locate/sigpro Pitch-frequency histogram-based music information retrieval for Turkish music Ali C. Gedik Ã, Barıs- Bozkurt Department of Electrical and Electronics Engineering, Izmir Institute of Technology, Gu¨lbahc-e, Urla, I˙zmir, Turkey article info abstract Article history: This study reviews the use of pitch histograms in music information retrieval studies for Received 28 November 2008 western and non-western music. The problems in applying the pitch-class histogram- Received in revised form based methods developed for western music to non-western music and specifically to 17 April 2009 Turkish music are discussed in detail. The main problems are the assumptions used to Accepted 11 June 2009 reduce the dimension of the pitch histogram space, such as, mapping to a low and fixed Available online 21 June 2009 dimensional pitch-class space, the hard-coded use of western music theory, the use of Keywords: the standard diapason (A4 ¼ 440 Hz), analysis based on tonality and tempered tuning. Music information retrieval We argue that it is more appropriate to use higher dimensional pitch-frequency Turkish music histograms without such assumptions for Turkish music. We show in two applications, Non-western music automatic tonic detection and makam recognition, that high dimensional pitch- Western music Automatic tonic detection frequency histogram representations can be successfully used in Music Information Automatic makam recognition Retrieval (MIR) applications without such pre-assumptions, using the data-driven models. & 2009 Elsevier B.V. All rights reserved. -
Bartók's Polymodality
Bartók’s Polymodality The Dasian and Other Affinity Spaces José Oliveira Martins Abstract The article proposes that a construct I call the Dasian space provides an effective framework to interpret harmonic aspects of scale relations in twentieth-century polymodality, particularly in the music of Bartók. Based on Bartók’s intuition that the pitch space modeled after his notion of polymodal chromaticism retains integral “diatonic ingredients,” the Dasian space (named after the medieval homonymous scale) estab- lishes a system of relations between all potential diatonic segments, without relying upon traditional con- straints, such as complete diatonic collections, harmonic functions, or pitch centricity. The Dasian space is a closed, nonoctave repeating scalar cycle, where each element is identified by a unique coordination of pitch class and modal quality. The dual description of each element enables both the specification of location in a given cycle and the emergence of a group structure, whose generators—named transpositio and transformatio—are also characteristic musical motions and relations. The proposed analytical methodology is probed in a couple of short pieces of Bartók’s Mikrokosmos and in the third movement of his Piano Sonata. The article argues that, unlike other tonal and atonal classic approaches, the Dasian framework enables the analyst to reconcile the constructional character of a Bartókian idiomatic feature (the combination of distinct and integral scale strata) with the interpretation of harmonic space in terms of scale-segment interaction and formal processes. The article then contextualizes the structure of the Dasian space within a larger class of constructs, which I call affinity spaces, by generalizing some of its group-theoretical properties that model relations between nondia- tonic scalar materials. -
THE GEOMETRY of MUSICAL CHORDS Dmitri Tymoczko, Princeton University
THE GEOMETRY OF MUSICAL CHORDS Dmitri Tymoczko, Princeton University Musical chords have a non-Euclidean geometry that has been exploited by Western composers in many different styles. A musical chord can be represented as a point in a geometrical space called an orbifold. Line segments represent mappings from the notes of one chord to those of another. Composers in a wide range of styles have exploited the non-Euclidean geometry of these spaces, typically by utilizing short line segments between structurally similar chords. Such line segments exist only when chords are nearly symmetrical under translation, reflection, or permutation. Paradigmatically consonant and dissonant chords possess different near-symmetries, and suggest different musical uses. Western music lies at the intersection of two seemingly independent disciplines: harmony and counterpoint. Harmony delimits the acceptable chords (simultaneously occurring notes) and chord sequences. Counterpoint (or voice leading) is the technique of connecting the individual notes in a series of chords so as to form simultaneous melodies. Chords are usually connected so that these lines (or voices) move independently (not all in the same direction by the same amount), efficiently (by short distances), and without voice crossings (along non-intersecting paths) (Fig. 1A-C). These features facilitate musical performance, engage explicit aesthetic norms (1-2), and enable listeners to distinguish multiple simultaneous melodies (3). How is it that Western music can satisfy harmonic and contrapuntal constraints at once? What determines whether two chords can be connected by efficient voice leading? Musicians have been investigating these questions for almost three centuries. The circle of fifths (Fig. S1), first published in 1728 (4), depicts efficient voice leadings among the twelve major scales.