Lecture Notes in Artificial Intelligence 7937
|
|
- Erik Houston
- 5 years ago
- Views:
Transcription
1 Lecture Notes in Artificial Intelligence 7937 Subseries of Lecture Notes in Computer Science LNAI Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University, Sapporo, Japan Wolfgang Wahlster DFKI and Saarland University, Saarbrücken, Germany LNAI Founding Series Editor Joerg Siekmann DFKI and Saarland University, Saarbrücken, Germany
2 Jason Yust Jonathan Wild John Ashley Burgoyne (Eds.) Mathematics and Computation in Music 4th International Conference, MCM 2013 Montreal, QC, Canada, June 12 14, 2013 Proceedings 13
3 Volume Editors Jason Yust Boston University, MA, USA Jonathan Wild McGill University, Montreal, QC, Canada John Ashley Burgoyne University of Amsterdam, The Netherlands ISSN e-issn ISBN e-isbn DOI / Springer Heidelberg Dordrecht London New York Library of Congress Control Number: CR Subject Classification (1998): H.5.5, J.5, I.1, I.6, G.2 LNCS Sublibrary: SL 7 Artificial Intelligence Springer-Verlag Berlin Heidelberg 2013 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India Printed on acid-free paper Springer is part of Springer Science+Business Media (
4 Preface The disciplines of mathematics and music share an intertwined history stretching back more than two and a half millennia. More recently, informatics has made possible new approaches to music research, often with transformative effect. The Society for Mathematics and Computation in Music promotes the collaboration and exchange of ideas among researchers in music theory, mathematics, computer science, musicology, cognition, and other related fields, to further our understanding of a wide range of musical phenomena. The 4 th International Conference on Mathematics and Computation in Music (MCM 2013) continued the pattern, initiated in 2007 at the first MCM meeting, of biennial international conferences held on alternating sides of the Atlantic: Berlin in 2007, New Haven in 2009, and Paris in The 2013 edition saw the conference come to Montreal, Canada, sponsored by the Schulich School of Music of McGill University, and by CIRMMT, the Centre for Interdisciplinary Research in Music Media and Technology. The conference was accompanied by a concert presented by the live@cirmmt series the last concert of the series season and the last official event of the Schulich School of Music Year of Contemporary Music. Events took place in Tanna Schulich Hall, in the New Music Building. The conference took place over three days in June, and as well as regular papers included poster sessions and a panel discussion. Papers for the conference were accepted from among the submissions after peer review by a large program advisory board, with multiple reviewers reading each submission and reporting back to the Program Committee. Participants attended from over a dozen countries across the world; they presented research that proceeded in novel directions, as well as research that continued themes present in previous editions of the conference. The breadth of mathematical applications in music research, the ways in which the new research documented here builds upon existing research, the skill of the researchers represented here, and the variety in their backgrounds all indicate a healthy field indeed. April 2013 Jonathan Wild
5 Organization The 4 th International Conference on Mathematics and Computation in Music (MCM 2013) was hosted by the Schulich School of Music at McGill University and the Centre for Interdisciplinary Research in Music Media and Technology (CIRMMT). Executive Committee Conference Chair Jonathan Wild Program Committee Jason Yust Jonathan Wild Concert Organization Fabrice Marandola Local Advisory Board Ichiro Fujinaga Chistoph Neidhöfer McGill University, Canada Boston University, USA (Chair) McGill University, Canada McGill University, Canada McGill University, Canada McGill University, Canada Review Board Emmanuel Amiot Christina Anagnostopoulou Moreno Andreatta Jean Bresson Chantal Buteau Clifton Callender Norman Carey Carmine Emanuele Cella Elaine Chew David Clampitt Darrell Conklin Classes Préparatoire aux Grandes Ecoles, Perpignan, France University of Athens, Greece IRCAM / CNRS / UPMC, France IRCAM / CNRS / UPMC, France Brock University, Canada Florida State University, USA CUNY Graduate Center, USA IRCAM, France Queen Mary, University of London, UK Ohio State University, USA Universidad del País Vasco UPV/EHU, Spain
6 VIII Organization Arshia Cont Michael Cuthbert Johanna Devaney Morwaread Farbood Thomas Fiore Harald Fripertinger Ichiro Fujinaga Aline Honingh Ozgur Izmirli Catherine Losada Guerino Mazzola Teresa Marrin Nakra Thomas Noll Panayotis Mavromatis Angelo Orcalli Robert Peck Richard Plotkin Ian Quinn Richard Randall Martin Rohrmeier William Sethares Anja Volk Geraint Wiggins Marek Žabka IRCAM, France Massachusetts Institute of Technology, USA Ohio State University, USA New York University, USA University of Michigan-Dearborn, USA Karl-Franzens-Universität Graz, Austria McGill University, Canada University of Amsterdam, The Netherlands Connecticut College, USA University of Cincinnati, USA University of Minnesota, USA The College of New Jersey, USA ESMuC Barcelona, Spain New York University, USA Università di Udine, Italy Louisiana State Univesity, USA University at Buffalo, SUNY, USA Yale University, USA Carnegie Mellon University, USA Massachusetts Institute of Technology, USA University of Wisconsin, USA Utrecht University, The Netherlands Queen Mary, University of London, UK Netherlands Institute for Advanced Study in the Humanities and Social Sciences, The Netherlands Society for Mathematics and Computation in Music President Guerino Mazzola University of Minnesota, USA Vice President Moreno Andreatta IRCAM / CNRS / UPMC, France Secretary Johanna Devaney Ohio State University, USA Treasurer David Clampitt Ohio State University, USA
7 Organization IX Journal of Mathematics and Music Editors-in-Chief Thomas Fiore Marek Žabka Reviews Editor Jonathan Wild University of Michigan-Dearborn, USA Netherlands Institute for Advanced Study in the Humanities and Social Sciences, The Netherlands McGill University, Canada Sponsoring Institutions Schulich School of Music, McGill University Centre for Interdisciplinary Research in Music Media and Technology
8 Poster Abstracts 1 Planet-4D Extensions: Hyperspheres for Musical Applications (Gilles Baroin, Emmanuel Amiot) The Planet-4D model, unveiled during Paris MCM 2011, is an original geometrical musical space based on graph theory [1] which grants each pitch class an equivalent physical position, involving more symmetries than any previous 3D model. On the 4D-hypersphere, we can now easily perceive visually all isometries in the Tonnetz as we interpret them as a product of two planar isometries [2]. To obtain the Hypersphere of Chords or Hypersphere of any set we project the generalized Tonnetz T[1,5] on the surface of the 4D-hypersphere of Tonnetze, in order to make the space fit with a specific piece of music [3]. The Hypersphere of Spectra associates any sound (sum of partials) to color and position within an animated Hypersphere [4]. Images and videos: planetes.info, mathemusic.net 1. Baroin, G.: The Planet-4D model: An original hypersymmetric music space. In: Agon, C., Andreatta, M., Assayag, G., Amiot, E., Bresson, J., Mandereau, J., eds.: Mathematics and Computation in Music: Third International Conference, MCM Lecture Notes in Artificial Intelligence, vol Springer, Heidelberg (2011) 2. Amiot, E., Baroin, G.: New symmetries between pc-sets in the Planet-4D Model (forthcoming) 3. Bigo, L., Giavitto, J.L., Spicher, A.: Building topological spaces for musical objects. In: Agon, C., Andreatta, M., Assayag, G., Amiot, E., Bresson, J., Mandereau, J., eds.: Mathematics and Computation in Music: Third International Conference, MCM Lecture Notes in Artificial Intelligence, vol Springer, Heidelberg (2011) 4. Baroin, G., de Gérando, S.: Sons, musique et représentation visuelle en hyperespace: L hypersphère des spectres. Les Cahiers de 3icar, Paris (2012) 2 Some Tools for Music Analysis: Graphs, Configuration Spaces and Fundamental Groups for Musical Modes (Mattia G. Bergomi) This research introduces some new mathematical tools for the analysis of modern (jazz) music. The first step is to build a fitting model to represent musical modes, where fitting means that it can be represented in at least three dimensions and
9 XII Poster Abstracts in agreement with the most common results of music theory. Our model is based on 2-dimensional graphs: modal structures are represented defining a product denoted by Q T where Q is the space of seventh chords and T is the space of triads. The notes of a modal scale are represented as nodes of a graph. Thanks to this representation, using the Seifert Van Kampen theorem, we compute the modal homotopy group of each kind of seventh chord, obtaining a classification in terms of degrees of freedom. Then we study the interaction between sonorities. This goal has been reached creating paths between graphs, the problem is that they are not easy to visualize, so we conclude introducing braids which make it easy to represent paths among sonorities and understand how a melodic line can be moved on a fixed harmonic structure. In conclusion, we use modal graphs to categorize sonorities, and braids to represent how a musician can use those sonorities when playing on an harmonic structure. In addition, thanks to the representation through braids we are able to recover information, one loses identifying octaves and consequently every chord and its inversions: to every inversion corresponds a non-trivial node of the braid strands. 3 Learning to Hear Transformational Pcset Networks (Yinan Cao, Jonathan Wild, Bennett Smith, Stephen McAdams) The present study investigates auditory learning of transformational patterns among pitch-class sets (pcsets) in a Stockhausen piano piece. We test how a sonority-based ear-training aid that uses contextual transformations could affect auditory plasticity in learning to perceive the functional interrelationships of salient pcsets as they appear in an analysis by David Lewin. Hypothesized behavioral distinctions in pitch-detection performance resulting from differences in atonal ear-training levels and a possible transfer of learning from the original Stockhausen piece to its globally transformed recomposition were observed in a behavioral experiment within the exposure-test framework. Results showed that behavioral plasticity was constantly shaped through cognitive bootstrapping, using working memory schemas that represent common-tone preservation, implicitly acquired during exposure in a pitch-detection trial. Some non-sensitivities to explicitly expressed transformational rule structures (specifically, statistical regularities in common-tone preserving rules) were quite pronounced in the outcomes. In the present experimental settings, auditory exposure to transformational patterns among pcsets triggered shallow, structural encoding of these patterns in an implicit fashion, rather than deep, semantic information processing in an explicit way.
10 Poster Abstracts XIII 4 A Computational Model for a Morpho-Semantic Typology of Minimal Music Samples (Kaoutar El Ghali, Adil El Ghali, Charles Tijus) Minimal sound sample description usually concentrates on sound sources rather than perceived sound morphology that would explain the sound shape. We aim to determine categories of sound events, summarized by a small number of sonometric figures that are hierarchically organized and defined by the morphological properties of the sound stream; based on natural or taught procedures of segmentation, categorization of various sound events, formalization of sonometric figures and especially validation in terms of differentiation and composition of sonometric figures. Based on the work of Pierre Schaeffer on sound objects, the Laboratoire Musique et Informatique de Marseille has developed a typology of 19 music samples called Semiotic Temporal Units (UST, from French, Unités Sémiotiques Temporelles), that are considered as minimal meaningful units for music. These units are defined on the basis of morphological, kinetic and semantic criteria. We propose a computational description of the semantic criteria of this typology, namely energetic process, movement, and direction. Energetic process is the temporal evolution of matter and is described through sound spectral shape; movement describes the perceived overall movement within a UST and is modeled by instantaneous loudness; and direction informs of the time structure and is depicted as a minimal path in the self-similarity matrix. 5 Automatic Rock n Roll Accompaniment Using a Hidden Semi-Markov Model (Ryan Groves) Music has a specific underlying model which spans such fields as perception, cognition, physics, and more. Unsurprisingly, it is difficult to find an appropriate machine learning model to allow a machine to learn the latent structure of music. The continued expansion of the field of machine learning provides new perspectives and implementations of machine learning methods, which are a powerful tool set when approaching complex musical tasks. Similarly, accurate digital representations of popular songs have recently been created, designed specifically for machines to parse and analyse. Extended probabilistic models provide an inherently sequence-based representation of data, and new data sets provide enough information for machines to learn how to perform musical tasks. The work presented will explore the use of the Hidden Semi-Markov Model [1] to automatically discover Rock n Roll chord progressions using Temperley and de Clerq s Rock n Roll corpus [2]. 1. Yu, S.-Z.: Hidden semi-markov model. Artificial Intelligence 174(2) (2009) Temperley, D., de Clerq, T.: A corpus analysis of rock harmony. Popular Music 30(1) (2011) 47 70
11 XIV Poster Abstracts 6 Toward Developing a Polyphonic Music Time-Span Tree Analyzer (Masatoshi Hamanaka, Keiji Hirata, Satoshi Tojo) We have been developing a music analysis system called a polyphonic music timespan tree analyzer (PTTA). A time-span tree assigns a hierarchy of structural importance to the notes of a piece of music on the basis of the Generative Theory of Tonal Music (GTTM). There is a big problem when analyzing polyphonic music by using GTTM, because GTTM only accepts homophonic music. To solve this problem, we first record the composers processes for arranging from polyphony to homophony because the processes show how a musician reduces ornament notes. Using the recording of the arrangement process with the timespan tree of the homophony, we manually acquire a time-span tree of polyphony. Then we attempt to develop a PTTA that semi-automatically acquires a timespan tree of polyphony by implementing a novel rule for time-span analysis. Experimental results show that the PTTA using our proposed rules outperforms the baseline. 7 Coding Schenker: Case Studies in Cadence Detection (Brian Miller) Any attempt at computational music analysis faces the challenge of translating a musician s intuition into algorithmic form. Computer languages with musical toolkits provide a powerful platform for such analysis, but complex methodologies like Schenkerian theory resist straightforward computerization. Seeking to avoid the computational costs associated with full Schenkerian reduction, the algorithm presented here is designed to detect significant cadential figures based on a simplified set of Schenkerian criteria, particularly including dominant tonic bass progression and melodic motion with scale degree one as target. Factors ranging from availability and quality of digitized scores to instrumentationspecific analytical considerations complicate such an approach, but it is nonetheless capable of generating useful data much more quickly than a human theorist working by hand. In the first case study, the cadence detection algorithm facilitates corpus-wide analysis and confirms some basic assumptions about cadences in Schenkerian theory. Next, the algorithm is adjusted to detect instances of the rare ascending Urlinie as described by David Neumeyer. The second study produces promising results but also highlights and leaves unresolved many of the difficulties involved in computational tonal analysis. 8 Normalizing Musical Contour Theory (Rob Schultz) The numerical representation of contour pioneered by Friedmann (1985), Morris (1987), and Marvin and Laprade (1987) represents a genuine watershed in the
12 Poster Abstracts XV development of musical contour theory. Foremost among its virtues is its greater precision, which enabled the creation of sophisticated similarity measurements that strictly graphic notation cannot easily accommodate. The standard method of numerical contour notation maps pitches onto a subset of the non-negative integers from 0 to n 1(wheren = cardinality) according to their registral position. When approached from a transformational perspective, however, this methodology can in fact yield counterintuitive results. This poster thus advances a normalized contour notation that maps pitches onto evenly distributed subsets of the real numbers from 0 to 1 inclusive. Through brief analytical vignettes and juxtaposition of the two notational schemes, the poster highlights the advantages of the normalized contour system and advocates its widespread adoption in the literature. 9 Testing Cognitive Theories by Creating a Pattern-Based Probabilistic Algorithm for Melody and Rhythm in Jazz Improvisation (Jonathan Spencer, Mariana Montiel, and Martin Norgaard) Previous research by one of the authors suggests that jazz improvisers insert patterns stored in procedural memory into ongoing improvisations while performing. Based on these findings, the present work involves the development and implementation of a probabilistic model using patterns from a corpus of Charlie Parker solos. This pattern-based approach aligns with the theoretical framework suggested by Pressing (1988) but is less compatible with the position that learned procedures control improvisation (Johnson-Laird, 2002). In the previous work, the number of patterns in the Parker corpus was compared with artificial improvisations created using the same chords as the corpus. These artificial improvisations were carried out on software based on grammars and contours, very much in line with the cognitive position that emphasizes learned rule-based procedures in improvisation, as opposed to stored patterns. An analysis of the artificially created improvisations showed minimal use of patterns. The present pattern-based improvisations, using our model, have graphs that coincide significantly with the actual human improvisation. Our model initially created melodic and rhythmic patterns separately but in the current version these two components are joined together. Currently, we can generate authentic jazz improvisations without a dependence on an underlying chord structure. In the future, chords will be incorporated, but with a very different philosophy than found in the software whose improvisations are based on rules that depend entirely on the chords.
13 Table of Contents Papers The Torii of Phases... 1 Emmanuel Amiot Towards a Categorical Theory of Creativity for Music, Discourse, and Cognition Moreno Andreatta, Andrée Ehresmann, René Guitart,and Guerino Mazzola Computation and Visualization of Musical Structures in Chord-Based Simplicial Complexes Louis Bigo, Moreno Andreatta, Jean-Louis Giavitto, Olivier Michel, and Antoine Spicher Compositional Data Analysis of Harmonic Structures in Popular Music John Ashley Burgoyne, Jonathan Wild, and Ichiro Fujinaga Sturmian Canons Clifton Callender Conceptual and Experiential Representations of Tempo: Effects on Expressive Performance Comparisons Elaine Chew and Clifton Callender Maximal Translational Equivalence Classes of Musical Patterns in Point-Set Representations Tom Collins and David Meredith Incorporating Voice Permutations into the Theory of Neo-Riemannian Groups and Lewinian Duality Thomas M. Fiore, Thomas Noll, and Ramon Satyendra Key Induction and Key Mapping Using Pitch-Class Set Assertions Eliot Handelman and Andie Sigler The Structure of Z-Related Sets Franck Jedrzejewski and Tom Johnson Hypergesture Homology for Performance Stemmata with Lie Operators Guerino Mazzola
14 XVIII Table of Contents Glarean s Dodecachordon Revisited Thomas Noll and Mariana Montiel Effects of Temporal Position on Harmonic Succession in the Bach Chorale Corpus Mitchell Ohriner A Hypercube-Graph Model for n-tone Rows and Relations Robert W. Peck Using Formal Concept Analysis to Represent Chroma Systems Tobias Schlemmer and Moreno Andreatta An Alphabet-Reduction Algorithm for Chordal n-grams Christopher W.M. White Evaluation of n-gram-based Classification Approaches on Classical Music Corpora Jacek Wo lkowicz and Vlado Kešelj The Minkowski Geometry of Numbers Applied to the Theory of Tone Systems Marek Žabka Author Index
Paul M. Gauthier. Lectures on Several Complex
Paul M. Gauthier Lectures on Several Complex Variables Paul M. Gauthier Départment de Mathématiques et de Statistique Université de Montréal Montreal, QC, Canada ISBN 978-3-319-11510-8 ISBN 978-3-319-11511-5
More informationGuide to Computing for Expressive Music Performance
Guide to Computing for Expressive Music Performance Alexis Kirke Eduardo R. Miranda Editors Guide to Computing for Expressive Music Performance Editors Alexis Kirke Interdisciplinary Centre for Computer
More informationMathematics, Computer Science and Logic - A Never Ending Story
Mathematics, Computer Science and Logic - A Never Ending Story Peter Paule Editor Mathematics, Computer Science and Logic - A Never Ending Story The Bruno Buchberger Festschrift 123 Editor Peter Paule
More informationIntroduction to the Representation Theory of Algebras
Introduction to the Representation Theory of Algebras Michael Barot Introduction to the Representation Theory of Algebras 123 Michael Barot Instituto de Matemáticas Universidad Nacional Autónoma de México
More informationProtecting Chips Against Hold Time Violations Due to Variability
Protecting Chips Against Hold Time Violations Due to Variability Gustavo Neuberger Ricardo Reis Gilson Wirth Protecting Chips Against Hold Time Violations Due to Variability Gustavo Neuberger Instituto
More informationZdravko Cvetkovski. Inequalities. Theorems, Techniques and Selected Problems
Inequalities Zdravko Cvetkovski Inequalities Theorems, Techniques and Selected Problems Dipl. Math. Zdravko Cvetkovski Informatics Department European University-Republic of Macedonia Skopje, Macedonia
More informationLearning Geometry and Music through Computer-aided Music Analysis and Composition: A Pedagogical Approach
Learning Geometry and Music through Computer-aided Music Analysis and Composition: A Pedagogical Approach To cite this version:. Learning Geometry and Music through Computer-aided Music Analysis and Composition:
More informationChords not required: Incorporating horizontal and vertical aspects independently in a computer improvisation algorithm
Georgia State University ScholarWorks @ Georgia State University Music Faculty Publications School of Music 2013 Chords not required: Incorporating horizontal and vertical aspects independently in a computer
More informationCollected Papers VI. Literary Reality and Relationships
Collected Papers VI. Literary Reality and Relationships PHAENOMENOLOGICA SERIES FOUNDED BY H.L. VAN BREDA AND PUBLISHED UNDER THE AUSPICES OF THE HUSSERL-ARCHIVES 206 ALFRED SCHUTZ COLLECTED PAPERS VI.
More informationHow to Write Technical Reports
How to Write Technical Reports Lutz Hering Heike Hering How to Write Technical Reports Understandable Structure, Good Design, Convincing Presentation 123 Dr. Lutz Hering Am Ricklinger Holze 14 30966 Hemmingen
More informationTowards the Generation of Melodic Structure
MUME 2016 - The Fourth International Workshop on Musical Metacreation, ISBN #978-0-86491-397-5 Towards the Generation of Melodic Structure Ryan Groves groves.ryan@gmail.com Abstract This research explores
More informationProblem Books in Mathematics
Problem Books in Mathematics Series Editor: Peter Winkler Department of Mathematics Dartmouth College Hanover, NH 03755 USA More information about this series at http://www.springer.com/series/714 Hayk
More informationCalculation of Demographic Parameters in Tropical Livestock Herds
Matthieu Lesnoff Renaud Lancelot Charles-Henri Moulin Samir Messad Xavier Juanès Christian Sahut Calculation of Demographic Parameters in Tropical Livestock Herds A discrete time approach with LASER animal-based
More informationUvA-DARE (Digital Academic Repository) Clustering and classification of music using interval categories Honingh, A.K.; Bod, L.W.M.
UvA-DARE (Digital Academic Repository) Clustering and classification of music using interval categories Honingh, A.K.; Bod, L.W.M. Published in: Mathematics and Computation in Music DOI:.07/978-3-642-21590-2_
More informationSequential Association Rules in Atonal Music
Sequential Association Rules in Atonal Music Aline Honingh, Tillman Weyde, and Darrell Conklin Music Informatics research group Department of Computing City University London Abstract. This paper describes
More informationPerceptual Evaluation of Automatically Extracted Musical Motives
Perceptual Evaluation of Automatically Extracted Musical Motives Oriol Nieto 1, Morwaread M. Farbood 2 Dept. of Music and Performing Arts Professions, New York University, USA 1 oriol@nyu.edu, 2 mfarbood@nyu.edu
More informationInfluence of timbre, presence/absence of tonal hierarchy and musical training on the perception of musical tension and relaxation schemas
Influence of timbre, presence/absence of tonal hierarchy and musical training on the perception of musical and schemas Stella Paraskeva (,) Stephen McAdams (,) () Institut de Recherche et de Coordination
More informationPLANE TESSELATION WITH MUSICAL-SCALE TILES AND BIDIMENSIONAL AUTOMATIC COMPOSITION
PLANE TESSELATION WITH MUSICAL-SCALE TILES AND BIDIMENSIONAL AUTOMATIC COMPOSITION ABSTRACT We present a method for arranging the notes of certain musical scales (pentatonic, heptatonic, Blues Minor and
More informationLecture Notes in Artificial Intelligence 7250
Lecture Notes in Artificial Intelligence 7250 Subseries of Lecture Notes in Computer Science LNAI Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University,
More informationPaperTonnetz: Supporting Music Composition with Interactive Paper
PaperTonnetz: Supporting Music Composition with Interactive Paper Jérémie Garcia, Louis Bigo, Antoine Spicher, Wendy E. Mackay To cite this version: Jérémie Garcia, Louis Bigo, Antoine Spicher, Wendy E.
More informationMelodic Pattern Segmentation of Polyphonic Music as a Set Partitioning Problem
Melodic Pattern Segmentation of Polyphonic Music as a Set Partitioning Problem Tsubasa Tanaka and Koichi Fujii Abstract In polyphonic music, melodic patterns (motifs) are frequently imitated or repeated,
More informationFormal Concept Analysis
Formal Concept Analysis Springer Berlin Heidelberg New York Barcelona Hong Kong London Milan Paris Singapore Tokyo Bernhard Ganter Rudolf Wille Formal Concept Analysis Mathematical Foundations With 105
More informationAudio Feature Extraction for Corpus Analysis
Audio Feature Extraction for Corpus Analysis Anja Volk Sound and Music Technology 5 Dec 2017 1 Corpus analysis What is corpus analysis study a large corpus of music for gaining insights on general trends
More informationAUTOMATIC MELODIC REDUCTION USING A SUPERVISED PROBABILISTIC CONTEXT-FREE GRAMMAR
AUTOMATIC MELODIC REDUCTION USING A SUPERVISED PROBABILISTIC CONTEXT-FREE GRAMMAR Ryan Groves groves.ryan@gmail.com ABSTRACT This research explores a Natural Language Processing technique utilized for
More informationMusical Creativity. Jukka Toivanen Introduction to Computational Creativity Dept. of Computer Science University of Helsinki
Musical Creativity Jukka Toivanen Introduction to Computational Creativity Dept. of Computer Science University of Helsinki Basic Terminology Melody = linear succession of musical tones that the listener
More informationA MULTI-PARAMETRIC AND REDUNDANCY-FILTERING APPROACH TO PATTERN IDENTIFICATION
A MULTI-PARAMETRIC AND REDUNDANCY-FILTERING APPROACH TO PATTERN IDENTIFICATION Olivier Lartillot University of Jyväskylä Department of Music PL 35(A) 40014 University of Jyväskylä, Finland ABSTRACT This
More informationCompanion to European Heritage Revivals / edited by Linde Egberts and Koos Bosma
Companion to European Heritage Revivals / edited by Linde Egberts and Koos Bosma Companion to European Heritage Revivals / edited by Linde Egberts and Koos Bosma Linde Egberts and Koos Bosma (eds.) CLUE
More informationDamage Mechanics with Finite Elements
Damage Mechanics with Finite Elements Springer-Verlag Berlin Heidelberg GmbH P. 1. Kattan. G. Z. Voyiadjis Damage Mechanics with Finite Elements Practical Applications with Computer Tools With 28 Figures
More informationCharacteristics of Polyphonic Music Style and Markov Model of Pitch-Class Intervals
Characteristics of Polyphonic Music Style and Markov Model of Pitch-Class Intervals Eita Nakamura and Shinji Takaki National Institute of Informatics, Tokyo 101-8430, Japan eita.nakamura@gmail.com, takaki@nii.ac.jp
More informationUSING HARMONIC AND MELODIC ANALYSES TO AUTOMATE THE INITIAL STAGES OF SCHENKERIAN ANALYSIS
10th International Society for Music Information Retrieval Conference (ISMIR 2009) USING HARMONIC AND MELODIC ANALYSES TO AUTOMATE THE INITIAL STAGES OF SCHENKERIAN ANALYSIS Phillip B. Kirlin Department
More informationSequential Association Rules in Atonal Music
Sequential Association Rules in Atonal Music Aline Honingh, Tillman Weyde and Darrell Conklin Music Informatics research group Department of Computing City University London Abstract. This paper describes
More informationELVIS. Electronic Locator of Vertical Interval Successions The First Large Data-Driven Research Project on Musical Style Julie Cumming
ELVIS Electronic Locator of Vertical Interval Successions The First Large Data-Driven Research Project on Musical Style Julie Cumming julie.cumming@mcgill.ca July 28, 2012 Digging into Data Challenge Grant
More informationTheory of Digital Automata
Theory of Digital Automata International Series on INTELLIGENT SYSTEMS, CONTROL AND AUTOMATION: SCIENCE AND ENGINEERING VOLUME 63 Editor Professor S. G. Tzafestas, National Technical University of Athens,
More informationArts Education Essential Standards Crosswalk: MUSIC A Document to Assist With the Transition From the 2005 Standard Course of Study
NCDPI This document is designed to help North Carolina educators teach the Common Core and Essential Standards (Standard Course of Study). NCDPI staff are continually updating and improving these tools
More informationPROBABILISTIC MODELING OF HIERARCHICAL MUSIC ANALYSIS
12th International Society for Music Information Retrieval Conference (ISMIR 11) PROBABILISTIC MODELING OF HIERARCHICAL MUSIC ANALYSIS Phillip B. Kirlin and David D. Jensen Department of Computer Science,
More informationQuantum Theory and Local Causality
SPRINGER BRIEFS IN PHILOSOPHY Gábor Hofer-Szabó Péter Vecsernyés Quantum Theory and Local Causality SpringerBriefs in Philosophy SpringerBriefs present concise summaries of cutting-edge research and practical
More informationSpringerBriefs in Electrical and Computer Engineering
SpringerBriefs in Electrical and Computer Engineering More information about this series at http://www.springer.com/series/10059 Fatima Hussain Internet of Things Building Blocks and Business Models 123
More informationBeing Agile. Your Roadmap to Successful Adoption of Agile. Mario E. Moreira
Being Agile Your Roadmap to Successful Adoption of Agile Mario E. Moreira Being Agile: Your Roadmap to Successful Adoption of Agile Copyright 2013 by Mario E. Moreira This work is subject to copyright.
More informationThe Discourse of Peer Review
The Discourse of Peer Review Brian Paltridge The Discourse of Peer Review Reviewing Submissions to Academic Journals Brian Paltridge Sydney School of Education & Social Work University of Sydney Sydney,
More informationPITCH CLASS SET CATEGORIES AS ANALYSIS TOOLS FOR DEGREES OF TONALITY
PITCH CLASS SET CATEGORIES AS ANALYSIS TOOLS FOR DEGREES OF TONALITY Aline Honingh Rens Bod Institute for Logic, Language and Computation University of Amsterdam {A.K.Honingh,Rens.Bod}@uva.nl ABSTRACT
More informationEtna Builder - Interactively Building Advanced Graphical Tree Representations of Music
Etna Builder - Interactively Building Advanced Graphical Tree Representations of Music Wolfgang Chico-Töpfer SAS Institute GmbH In der Neckarhelle 162 D-69118 Heidelberg e-mail: woccnews@web.de Etna Builder
More informationChantal Buteau a & Christina Anagnostopoulou b a Department of Mathematics, Brock University, St. Catharines
This article was downloaded by: [139.57.125.60] On: 17 January 2015, At: 20:24 Publisher: Taylor & Francis Informa Ltd Registered in England and Wales Registered Number: 1072954 Registered office: Mortimer
More informationA probabilistic approach to determining bass voice leading in melodic harmonisation
A probabilistic approach to determining bass voice leading in melodic harmonisation Dimos Makris a, Maximos Kaliakatsos-Papakostas b, and Emilios Cambouropoulos b a Department of Informatics, Ionian University,
More informationStudies in German Idealism
Studies in German Idealism Volume 17 Series Editor Reinier W. Munk, VU University, Amsterdam, The Netherlands Advisory Editorial Board Frederick Beiser, Syracuse University, U.S.A. Daniel Dahlstrom, Boston
More informationThe Sound of Silence
The Sound of Silence Burkhard Vogel The Sound of Silence Lowest-Noise RIAA Phono-Amps: Designer s Guide 123 Dipl.-Ing. Burkhard Vogel BUVOCON-Burkhard Vogel Consult GmbH 70180 Stuttgart, Germany ISBN 978-3-540-76883-8
More informationThe Language of Suspense in Crime Fiction
The Language of Suspense in Crime Fiction Reshmi Dutta-Flanders The Language of Suspense in Crime Fiction A Linguistic Stylistic Approach Reshmi Dutta-Flanders English Language and Linguistics School of
More informationINTERACTIVE GTTM ANALYZER
10th International Society for Music Information Retrieval Conference (ISMIR 2009) INTERACTIVE GTTM ANALYZER Masatoshi Hamanaka University of Tsukuba hamanaka@iit.tsukuba.ac.jp Satoshi Tojo Japan Advanced
More informationDistance in Pitch Sensitive Time-span Tree
Distance in Pitch Sensitive Time-span Tree Masaki Matsubara University of Tsukuba masaki@slis.tsukuba.ac.jp Keiji Hirata Future University Hakodate hirata@fun.ac.jp Satoshi Tojo JAIST tojo@jaist.ac.jp
More informationVolume 9, Number 3, August 2003 Copyright 2003 Society for Music Theory
1 of 5 Volume 9, Number 3, August 2003 Copyright 2003 Society for Music Theory Robert W. Peck KEYWORDS: ear training, pedagogy, twentieth-century music, post-tonal music, improvisation ABSTRACT: This article
More informationLecture Notes in Mathematics 2164
Lecture Notes in Mathematics 2164 Editors-in-Chief: Jean-Michel Morel, Cachan Bernard Teissier, Paris Advisory Board: Michel Brion, Grenoble Camillo De Lellis, Zurich Alessio Figalli, Zurich Davar Khoshnevisan,
More informationMATLAB Ò and Design Recipes for Earth Sciences
MATLAB Ò and Design Recipes for Earth Sciences Martin H. Trauth Elisabeth Sillmann MATLAB Ò and Design Recipes for Earth Sciences How to Collect, Process and Present Geoscientific Information 123 Martin
More informationA GTTM Analysis of Manolis Kalomiris Chant du Soir
A GTTM Analysis of Manolis Kalomiris Chant du Soir Costas Tsougras PhD candidate Musical Studies Department Aristotle University of Thessaloniki Ipirou 6, 55535, Pylaia Thessaloniki email: tsougras@mus.auth.gr
More informationCommunicating Science
Communicating Science Pierre Laszlo Communicating Science A Practical Guide 123 Prof. Pierre Laszlo Cloud s Rest Prades F-12320 Senergues France DOI 10.1007/75951 ISBN-10 3-540-31919-0 Springer Berlin
More informationCSC475 Music Information Retrieval
CSC475 Music Information Retrieval Symbolic Music Representations George Tzanetakis University of Victoria 2014 G. Tzanetakis 1 / 30 Table of Contents I 1 Western Common Music Notation 2 Digital Formats
More informationBuilding a Better Bach with Markov Chains
Building a Better Bach with Markov Chains CS701 Implementation Project, Timothy Crocker December 18, 2015 1 Abstract For my implementation project, I explored the field of algorithmic music composition
More informationFoundations of Mathematics
Erwin Engeler Foundations of Mathematics Questions of Analysis, Geometry & Algorithmics Translated by Charles B. Thomas With 29 Figures Springer-Verlag Berlin Heidelberg New York London Paris Tokyo Hong
More informationComputational Modelling of Harmony
Computational Modelling of Harmony Simon Dixon Centre for Digital Music, Queen Mary University of London, Mile End Rd, London E1 4NS, UK simon.dixon@elec.qmul.ac.uk http://www.elec.qmul.ac.uk/people/simond
More informationPitfalls and Windfalls in Corpus Studies of Pop/Rock Music
Introduction Hello, my talk today is about corpus studies of pop/rock music specifically, the benefits or windfalls of this type of work as well as some of the problems. I call these problems pitfalls
More informationSimilarity and Categorisation in Boulez Parenthèse from the Third Piano Sonata: A Formal Analysis.
Similarity and Categorisation in Boulez Parenthèse from the Third Piano Sonata: A Formal Analysis. Christina Anagnostopoulou? and Alan Smaill y y? Faculty of Music, University of Edinburgh Division of
More informationNEO-RIEMANNIAN CYCLE DETECTION WITH WEIGHTED FINITE-STATE TRANSDUCERS
12th International Society for Music Information Retrieval Conference (ISMIR 2011) NEO-RIEMANNIAN CYCLE DETECTION WITH WEIGHTED FINITE-STATE TRANSDUCERS Jonathan Bragg Harvard University jbragg@post.harvard.edu
More informationLecture Notes in Artificial Intelligence 9060
Lecture Notes in Artificial Intelligence 9060 Subseries of Lecture Notes in Computer Science LNAI Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University,
More informationJudgments of distance between trichords
Alma Mater Studiorum University of Bologna, August - Judgments of distance between trichords w Nancy Rogers College of Music, Florida State University Tallahassee, Florida, USA Nancy.Rogers@fsu.edu Clifton
More informationVisualizing Euclidean Rhythms Using Tangle Theory
POLYMATH: AN INTERDISCIPLINARY ARTS & SCIENCES JOURNAL Visualizing Euclidean Rhythms Using Tangle Theory Jonathon Kirk, North Central College Neil Nicholson, North Central College Abstract Recently there
More informationRacial Profiling and the NYPD
Racial Profiling and the NYPD Jay L. Newberry Racial Profiling and the NYPD The Who, What, When, and Why of Stop and Frisk Jay L. Newberry Department of Geography Binghamton University Binghamton, NY USA
More informationDistributed Digital Music Archives and Libraries (DDMAL)
Distributed Digital Music Archives and Libraries (DDMAL) Ichiro Fujinaga Schulich School of Music McGill University Research Infrastructure CIRMMT McGill University Schulich School of Music Music Technology
More informationHarmony and tonality The vertical dimension. HST 725 Lecture 11 Music Perception & Cognition
Harvard-MIT Division of Health Sciences and Technology HST.725: Music Perception and Cognition Prof. Peter Cariani Harmony and tonality The vertical dimension HST 725 Lecture 11 Music Perception & Cognition
More informationAn Integrated Music Chromaticism Model
An Integrated Music Chromaticism Model DIONYSIOS POLITIS and DIMITRIOS MARGOUNAKIS Dept. of Informatics, School of Sciences Aristotle University of Thessaloniki University Campus, Thessaloniki, GR-541
More informationAutomated extraction of motivic patterns and application to the analysis of Debussy s Syrinx
Automated extraction of motivic patterns and application to the analysis of Debussy s Syrinx Olivier Lartillot University of Jyväskylä, Finland lartillo@campus.jyu.fi 1. General Framework 1.1. Motivic
More informationMusic and Mathematics: On Symmetry
Music and Mathematics: On Symmetry Monday, February 11th, 2019 Introduction What role does symmetry play in aesthetics? Is symmetrical art more beautiful than asymmetrical art? Is music that contains symmetries
More informationNUMBER OF TIMES COURSE MAY BE TAKEN FOR CREDIT: One
I. COURSE DESCRIPTION Division: Humanities Department: Speech and Performing Arts Course ID: MUS 201 Course Title: Music Theory III: Basic Harmony Units: 3 Lecture: 3 Hours Laboratory: None Prerequisite:
More informationA Corpus-Based Model of Voice Leading in Tonal Music
A Corpus-ased Model of oice Leading in Tonal Music Robert T. Kelley igure : igured ass xercise Table : Renaming Harrison s Scale-Degree unctions New unction Name Tonic Member(s) Subdominant Dominant Other
More informationMusic Performance Panel: NICI / MMM Position Statement
Music Performance Panel: NICI / MMM Position Statement Peter Desain, Henkjan Honing and Renee Timmers Music, Mind, Machine Group NICI, University of Nijmegen mmm@nici.kun.nl, www.nici.kun.nl/mmm In this
More informationMarxism and Education. Series Editor Anthony Green Institute of Education University of London London, United Kingdom
Marxism and Education Series Editor Anthony Green Institute of Education University of London London, United Kingdom This series assumes the ongoing relevance of Marx s contributions to critical social
More informationFigured Bass and Tonality Recognition Jerome Barthélemy Ircam 1 Place Igor Stravinsky Paris France
Figured Bass and Tonality Recognition Jerome Barthélemy Ircam 1 Place Igor Stravinsky 75004 Paris France 33 01 44 78 48 43 jerome.barthelemy@ircam.fr Alain Bonardi Ircam 1 Place Igor Stravinsky 75004 Paris
More informationPostdisciplinary Studies in Discourse
Postdisciplinary Studies in Discourse Series Editors Johannes Angermuller University of Warwick Coventry, United Kingdom Judith Baxter Aston University Birmingham, UK Aim of the series Postdisciplinary
More informationILLINOIS LICENSURE TESTING SYSTEM
ILLINOIS LICENSURE TESTING SYSTEM FIELD 143: MUSIC November 2003 Illinois Licensure Testing System FIELD 143: MUSIC November 2003 Subarea Range of Objectives I. Listening Skills 01 05 II. Music Theory
More informationSimilarity matrix for musical themes identification considering sound s pitch and duration
Similarity matrix for musical themes identification considering sound s pitch and duration MICHELE DELLA VENTURA Department of Technology Music Academy Studio Musica Via Terraglio, 81 TREVISO (TV) 31100
More informationMANOR ROAD PRIMARY SCHOOL
MANOR ROAD PRIMARY SCHOOL MUSIC POLICY May 2011 Manor Road Primary School Music Policy INTRODUCTION This policy reflects the school values and philosophy in relation to the teaching and learning of Music.
More informationCPU Bach: An Automatic Chorale Harmonization System
CPU Bach: An Automatic Chorale Harmonization System Matt Hanlon mhanlon@fas Tim Ledlie ledlie@fas January 15, 2002 Abstract We present an automated system for the harmonization of fourpart chorales in
More informationTExES Music EC 12 (177) Test at a Glance
TExES Music EC 12 (177) Test at a Glance See the test preparation manual for complete information about the test along with sample questions, study tips and preparation resources. Test Name Music EC 12
More informationTake a Break, Bach! Let Machine Learning Harmonize That Chorale For You. Chris Lewis Stanford University
Take a Break, Bach! Let Machine Learning Harmonize That Chorale For You Chris Lewis Stanford University cmslewis@stanford.edu Abstract In this project, I explore the effectiveness of the Naive Bayes Classifier
More informationMethodologies for Creating Symbolic Early Music Corpora for Musicological Research
Methodologies for Creating Symbolic Early Music Corpora for Musicological Research Cory McKay (Marianopolis College) Julie Cumming (McGill University) Jonathan Stuchbery (McGill University) Ichiro Fujinaga
More informationILLINOIS LICENSURE TESTING SYSTEM
ILLINOIS LICENSURE TESTING SYSTEM FIELD 212: MUSIC January 2017 Effective beginning September 3, 2018 ILLINOIS LICENSURE TESTING SYSTEM FIELD 212: MUSIC January 2017 Subarea Range of Objectives I. Responding:
More informationA PERPLEXITY BASED COVER SONG MATCHING SYSTEM FOR SHORT LENGTH QUERIES
12th International Society for Music Information Retrieval Conference (ISMIR 2011) A PERPLEXITY BASED COVER SONG MATCHING SYSTEM FOR SHORT LENGTH QUERIES Erdem Unal 1 Elaine Chew 2 Panayiotis Georgiou
More informationTOWARDS COMPUTABLE PROCEDURES FOR DERIVING TREE STRUCTURES IN MUSIC: CONTEXT DEPENDENCY IN GTTM AND SCHENKERIAN THEORY
TOWARDS COMPUTABLE PROCEDURES FOR DERIVING TREE STRUCTURES IN MUSIC: CONTEXT DEPENDENCY IN GTTM AND SCHENKERIAN THEORY Alan Marsden Keiji Hirata Satoshi Tojo Future University Hakodate, Japan hirata@fun.ac.jp
More informationAn Overview of ATIAM International Master Program Sorbonne Université Ircam Télécom ParisTech. Journée d Informatique Musicale May 2018
An Overview of ATIAM International Master Program Sorbonne Université Ircam Télécom ParisTech Journée d Informatique Musicale 16-18 May 2018 S STATUS PARCOURS MASTER 2 Parcours multi-mentions du master
More informationFreshwater Invertebrates in Central Europe
Freshwater Invertebrates in Central Europe György Kriska Freshwater Invertebrates in Central Europe A Field Guide György Kriska Group for Methodology in Biology Teaching, Biological Institute Eötvös Loránd
More informationInjectable Fillers in Aesthetic Medicine
Mauricio de Maio Berthold Rzany Injectable Fillers in Aesthetic Medicine Second Edition 123 Injectable Fillers in Aesthetic Medicine Mauricio de Maio Berthold Rzany Injectable Fillers in Aesthetic Medicine
More information6 th Grade Instrumental Music Curriculum Essentials Document
6 th Grade Instrumental Curriculum Essentials Document Boulder Valley School District Department of Curriculum and Instruction August 2011 1 Introduction The Boulder Valley Curriculum provides the foundation
More informationSet Theory Based Analysis of Atonal Music
Journal of the Applied Mathematics, Statistics and Informatics (JAMSI), 4 (2008), No. 1 Set Theory Based Analysis of Atonal Music EVA FERKOVÁ Abstract The article presents basic posssibilities of interdisciplinary
More informationOpen Research Online The Open University s repository of research publications and other research outputs
Open Research Online The Open University s repository of research publications and other research outputs Cross entropy as a measure of musical contrast Book Section How to cite: Laney, Robin; Samuels,
More informationUrbanization and the Migrant in British Cinema
Urbanization and the Migrant in British Cinema Gareth Millington Urbanization and the Migrant in British Cinema Spectres of the City Gareth Millington University of York York, UK ISBN 978-1-137-47398-1
More informationThe Generation of Metric Hierarchies using Inner Metric Analysis
The Generation of Metric Hierarchies using Inner Metric Analysis Anja Volk Department of Information and Computing Sciences, Utrecht University Technical Report UU-CS-2008-006 www.cs.uu.nl ISSN: 0924-3275
More informationEmpirical Musicology Review Vol. 11, No. 1, 2016
Algorithmically-generated Corpora that use Serial Compositional Principles Can Contribute to the Modeling of Sequential Pitch Structure in Non-tonal Music ROGER T. DEAN[1] MARCS Institute, Western Sydney
More informationMUSICAL STRUCTURAL ANALYSIS DATABASE BASED ON GTTM
MUSICAL STRUCTURAL ANALYSIS DATABASE BASED ON GTTM Masatoshi Hamanaka Keiji Hirata Satoshi Tojo Kyoto University Future University Hakodate JAIST masatosh@kuhp.kyoto-u.ac.jp hirata@fun.ac.jp tojo@jaist.ac.jp
More informationEIGENVECTOR-BASED RELATIONAL MOTIF DISCOVERY
EIGENVECTOR-BASED RELATIONAL MOTIF DISCOVERY Alberto Pinto Università degli Studi di Milano Dipartimento di Informatica e Comunicazione Via Comelico 39/41, I-20135 Milano, Italy pinto@dico.unimi.it ABSTRACT
More informationStudent Performance Q&A: 2001 AP Music Theory Free-Response Questions
Student Performance Q&A: 2001 AP Music Theory Free-Response Questions The following comments are provided by the Chief Faculty Consultant, Joel Phillips, regarding the 2001 free-response questions for
More informationPerception-Based Musical Pattern Discovery
Perception-Based Musical Pattern Discovery Olivier Lartillot Ircam Centre Georges-Pompidou email: Olivier.Lartillot@ircam.fr Abstract A new general methodology for Musical Pattern Discovery is proposed,
More informationCOMPUTER-AIDED TRANSFORMATIONAL ANALYSIS WITH TONE SIEVES
COMPUTER-AIDED TRANSFORMATIONAL ANALYSIS WITH TONE SIEVES Thomas Noll ESMuC Edifici L Auditori 08013, Barcelona, Spain Moreno Andreatta IRCAM/CNRS 1, place I. Stravinsky 75004, Paris, France Carlos Agon
More informationMulticriteria Optimization
Multicriteria Optimization Matthias Ehrgott Multicriteria Optimization Second edition With 88 Figures and 12 Tables 12 Dr. habil. Matthias Ehrgott, Associate Professor The University of Auckland Department
More information