The Geometry of Tonal Space
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Melodies in Space: Neural Processing of Musical Features A
Melodies in space: Neural processing of musical features A DISSERTATION SUBMITTED TO THE FACULTY OF THE GRADUATE SCHOOL OF THE UNIVERSITY OF MINNESOTA BY Roger Edward Dumas IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY Dr. Apostolos P. Georgopoulos, Adviser Dr. Scott D. Lipscomb, Co-adviser March 2013 © Roger Edward Dumas 2013 Table of Contents Table of Contents .......................................................................................................... i Abbreviations ........................................................................................................... xiv List of Tables ................................................................................................................. v List of Figures ............................................................................................................. vi List of Equations ...................................................................................................... xiii Chapter 1. Introduction ............................................................................................ 1 Melody & neuro-imaging .................................................................................................. 1 The MEG signal ................................................................................................................................. 3 Background ........................................................................................................................... 6 Melodic pitch -
Fourier Phase and Pitch-Class Sum
Fourier Phase and Pitch-Class Sum Dmitri Tymoczko1 and Jason Yust2(B) Author Proof 1 Princeton University, Princeton, NJ 08544, USA [email protected] 2 Boston University, Boston, MA 02215, USA [email protected] AQ1 Abstract. Music theorists have proposed two very different geometric models of musical objects, one based on voice leading and the other based on the Fourier transform. On the surface these models are completely different, but they converge in special cases, including many geometries that are of particular analytical interest. Keywords: Voice leading Fourier transform Tonal harmony Musical scales Chord geometry· · · · 1Introduction Early twenty-first century music theory explored a two-pronged generalization of traditional set theory. One prong situated sets and set-classes in continuous, non-Euclidean spaces whose paths represented voice leadings, or ways of mov- ing notes from one chord to another [4,13,16]. This endowed set theory with a contrapuntal aspect it had previously lacked, embedding its discrete entities in arobustlygeometricalcontext.AnotherpronginvolvedtheFouriertransform as applied to pitch-class distributions: this provided alternative coordinates for describing chords and set classes, coordinates that made manifest their harmonic content [1,3,8,10,19–21]. Harmonies could now be described in terms of their resemblance to various equal divisions of the octave, paradigmatic objects such as the augmented triad or diminished seventh chord. These coordinates also had a geometrical aspect, similar to yet distinct from voice-leading geometry. In this paper, we describe a new convergence between these two approaches. Specifically, we show that there exists a class of simple circular voice-leading spaces corresponding, in the case of n-note nearly even chords, to the nth Fourier “phase spaces.” An isomorphism of points exists for all chords regardless of struc- ture; when chords divide the octave evenly, we can extend the isomorphism to paths, which can then be interpreted as voice leadings. -
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. -
TEKNIK GRAFIKA DAN INDUSTRI GRAFIKA JILID 1 Untuk SMK
Antonius Bowo Wasono, dkk. TEKNIK GRAFIKA DAN INDUSTRI GRAFIKA JILID 1 SMK Direktorat Pembinaan Sekolah Menengah Kejuruan Direktorat Jenderal Manajemen Pendidikan Dasar dan Menengah Departemen Pendidikan Nasional Hak Cipta pada Departemen Pendidikan Nasional Dilindungi Undang-undang TEKNIK GRAFIKA DAN INDUSTRI GRAFIKA JILID 1 Untuk SMK Penulis : Antonius Bowo Wasono Romlan Sujinarto Perancang Kulit : TIM Ukuran Buku : 17,6 x 25 cm WAS WASONO, Antonius Bowo t Teknik Grafika dan Industri Grafika Jilid 1 untuk SMK /oleh Antonius Bowo Wasono, Romlan, Sujinarto---- Jakarta : Direktorat Pembinaan Sekolah Menengah Kejuruan, Direktorat Jenderal Manajemen Pendidikan Dasar dan Menengah, Departemen Pendidikan Nasional, 2008. iii, 271 hlm Daftar Pustaka : Lampiran. A Daftar Istilah : Lampiran. B ISBN : 978-979-060-067-6 ISBN : 978-979-060-068-3 Diterbitkan oleh Direktorat Pembinaan Sekolah Menengah Kejuruan Direktorat Jenderal Manajemen Pendidikan Dasar dan Menengah Departemen Pendidikan Nasional Tahun 2008 KATA SAMBUTAN Puji syukur kami panjatkan kehadirat Allah SWT, berkat rahmat dan karunia Nya, Pemerintah, dalam hal ini, Direktorat Pembinaan Sekolah Menengah Kejuruan Direktorat Jenderal Manajemen Pendidikan Dasar dan Menengah Departemen Pendidikan Nasional, telah melaksanakan kegiatan penulisan buku kejuruan sebagai bentuk dari kegiatan pembelian hak cipta buku teks pelajaran kejuruan bagi siswa SMK. Karena buku-buku pelajaran kejuruan sangat sulit di dapatkan di pasaran. Buku teks pelajaran ini telah melalui proses penilaian oleh Badan Standar Nasional Pendidikan sebagai buku teks pelajaran untuk SMK dan telah dinyatakan memenuhi syarat kelayakan untuk digunakan dalam proses pembelajaran melalui Peraturan Menteri Pendidikan Nasional Nomor 45 Tahun 2008 tanggal 15 Agustus 2008. Kami menyampaikan penghargaan yang setinggi-tingginya kepada seluruh penulis yang telah berkenan mengalihkan hak cipta karyanya kepada Departemen Pendidikan Nasional untuk digunakan secara luas oleh para pendidik dan peserta didik SMK. -
The Circle of Fifths
The Circle of Fifths Why a circle? The cyclical nature of musical notes Using a circle diagram to study music can be extremely helpful because of the mathematical beauty of music. In previous lessons, we have touched on the fact that musical notes repeat themselves in predictable patterns going up in pitch. When the sound wave frequency of any particular note is doubled, that same note is produced but at a higher pitch. That note is what we call an octave note; it is one octave above the note below which is half its frequency. You can view this in a linear way, visualizing the notes from left to right in a straight line, as we have done from time to time using the piano keyboard as a diagram: Fig. 1, the seven octaves of the 88-key piano keyboard. In this diagram, I have marked some C notes and A notes on the piano keyboard to illustrate how they repeat themselves, going higher in pitch as you move from left to right. The C note with a blue (cyan) background color is known as “middle C” or also as C4, because it appears in the fourth full octave contained on a standard 88 key keyboard. This C note is twice the sound frequency of the next lower C to the left (C3). It is half the sound frequency of the next highest C to the right (C5). The A note with a yellow background (A4) is important because it is the note most often used these days as the “concert pitch” – it is the note that is traditionally used for all instruments in an orchestra to tune to, so that everyone plays in tune together. -
Interactive Music System Based on Pitch Quantization and Tonal Navigation
Interactive music system based on pitch quantization and tonal navigation Leonardo Aldrey MASTER’S THESIS UPF / 2011 Master in Sound and Music Computing September 3, 2011 Sergi Jordà Puig - Supervisor Department of Information and Communication Technologies Universitat Pompeu Fabra, Barcelona 1 Abstract Recent developments in the field of human computer interaction have led to new ways of making music using digital instruments. The new set of sensors available in devices such as smartphones and touch tablets propose an interesting challenge in the field of music technology regarding how they can be used in a meaningful and musical way. One to one control over parameters such as pitch, timbre and amplitude is no longer required thus making possible to play music at a different level of abstraction. Lerdahl and Jackendoff presented in their publication “Generative theory of tonal music” a perspective that combines Heinrich Schenker’s theory of music and Noam Chomsky linguistics to eXplain how tonal music is organized and structured. This idea opens up the possibility of investigating ways to manipulate a “wider” aspect of music through an assisted interactive musical system that takes into account the “principles” or common knowledge used in music composition and performance. Numerous publications exist in the field of music theory regarding how the tonal aspect of music works. Due to aspects related to psychoacoustics and cultural inheritance, there is a certain common base on how to form and use chords and scales, and how they are organized in terms of hierarchies, movement tendencies and tonal functions. This project deals with the design of a graphical representation about the use of tonality in jazz and popular music, organizing chords and scales in a hierarchical, semanticall and practical way. -
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. -
Bridges Conference Paper
Bridges 2019 Conference Proceedings Make Music Visible, Play Mathematics Andrea Capozucca1 and Marco Fermani2 1University of Camerino, Italy; [email protected] 2Musician and composer, Potenza Picena, Italy; [email protected] Abstract The workshop is based on interdisciplinary and interactive activities that links mathematics and music and presents mathematical and musical ideas through hands-on and multisensorial approaches. Its goals are to encourage maths teachers to inspire students by making maths audible as well as visible, and music teachers to use a geometrical method to foster a new approach towards music theory. Participants learn how the creative discovery process can be used to form an atmosphere of experimentation and play that can positively affect people attitudes about mathematics, music and learning. Introduction Music and geometry has always had more contact points than we can ever imagine, but nevertheless music theorists has focused attention on counting and ratios. As the great 17th-century German mathematician Gottfried Leibniz wrote: “Music is the sensation of counting without being aware you were counting.” But there is more to this connection than counting. As the French baroque composer Rameau declared in 1722: “I must confess that only with the aid of mathematics did my ideas become clear.” So, is there really a link? Or is it crazy to try to connect the creative art of music with the steely logic of mathematics? Certainly the grammar of music – rhythm and pitch – has mathematical foundations. While the combinations of notes we have been drawn to over the centuries can all be explained through numbers, music is more than just notes and beats. -
Circle of Fifths Guitar Scales
Circle of fifths guitar scales Continue We used to talk about a large scale. We have built a large scale C, which happens to contain no sharp and non-flats. We then created some other large scales based on the same exact scale formula; that is, with the same exact type of steps as major C, but starting with a different note other than C. C Main Scale C♯ D D♯ E F♯ G♯ A♯ B C Let's take the fifth note in C-scale (tone G) and use this note to make a new scale. What will be the names of the notes? From G we will apply the formula of whole and half steps, using chromatic scales as our source: wh, wh, h, wh, wh, h. the result is G A B B C D F F♯ F. G. G. G. Major Scale G♯ A♯ B C C C♯ D♯ E F F♯ G When writing notation, we will always write sharp when F appear? It seems annoying. Therefore, the standard practice is to announce it at the beginning of a piece of music called key signatureA markings used at the beginning of a piece of written music to specify the key; usually, which notes will be sharp or which notes will be flat. (But not both) (pictured). This symbol indicates that until otherwise stated, all F will actually be F♯. Note that the sharp one is placed directly above the triple key line of note F. This key signature will be a G major key. While useful in understanding notation, key signatures are also valuable, even if we never read music. -
Harmony Analysis
Workshop HfM Karlsruhe Music Information Retrieval Harmony Analysis Christof Weiß, Frank Zalkow, Meinard Müller International Audio Laboratories Erlangen [email protected] [email protected] [email protected] Book: Fundamentals of Music Processing Meinard Müller Fundamentals of Music Processing Audio, Analysis, Algorithms, Applications 483 p., 249 illus., hardcover ISBN: 978-3-319-21944-8 Springer, 2015 Accompanying website: www.music-processing.de Book: Fundamentals of Music Processing Meinard Müller Fundamentals of Music Processing Audio, Analysis, Algorithms, Applications 483 p., 249 illus., hardcover ISBN: 978-3-319-21944-8 Springer, 2015 Accompanying website: www.music-processing.de Chapter 5: Chord Recognition 5.1 Basic Theory of Harmony 5.2 Template-Based Chord Recognition 5.3 HMM-Based Chord Recognition 5.4 Further Notes In Chapter 5, we consider the problem of analyzing harmonic properties of a piece of music by determining a descriptive progression of chords from a given audio recording. We take this opportunity to first discuss some basic theory of harmony including concepts such as intervals, chords, and scales. Then, motivated by the automated chord recognition scenario, we introduce template-based matching procedures and hidden Markov models—a concept of central importance for the analysis of temporal patterns in time-dependent data streams including speech, gestures, and music. Dissertation: Tonality-Based Style Analysis Christof Weiß Computational Methods for Tonality-Based Style Analysis of Classical Music Audio Recordings Dissertation, Ilmenau University of Technology, 2017 Chapter 5: Analysis Methods for Key and Scale Structures Chapter 6: Design of Tonal Features Recall: Chroma Features . Human perception of pitch is periodic . -
Is CBS 1766 a Tone-Circle?
1 Is CBS 1766 a Tone-Circle? by Sara de Rose Abstract This paper illustrates how the heptagram on tablet CBS 1766 can be derived as a geometric/numeric pattern when creating a 12-tone scale by reducing perfect fifths. It also shows that the sequence 4,1,5,2,6,3,7, generated by following the diagonals of the heptagram on CBS 1766, explains the construction of the diatonic scale. The paper suggests that the sequence 4,1,5,2,6,3,7 was originally derived from the 12-tone scale and then later re-applied, intentionally, to create the diatonic scale. It is suggested that this re-application of the sequence 4,1,5,2,6,3,7 to create the diatonic scale was, in fact, an analogy, in the original sense of the word (i.e. a comparison based on number) and that a series of further analogies using the sequence 4,1,5,2,6,3,7 were also created – analogies that extended beyond the practical applications of music. Finally, the paper shows that the sequence 4,1,5,2,6,3,7 has a role, today, in teaching music theory, for it is, quite literally, what musicians call the key . 2 Is CBS 1766 a Tone-Circle? 1 In New Light on the Babylonian Tonal System , Figure 1: CBS 1766 L. Crickmore suggests that musicologists pose the question “could CBS 1766 be the earliest known example of a tone-circle?” This paper explores that possibility. There are two assumptions that I will make before exploring the diagram on CBS 1766 as relating to a tone-circle.