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Mathematics and Computation in Music - First International Conference, MCM 2007, Berlin, Germany, May 18-20, 2007. Revised Selected Papers

Mathematics and Computation in Music - First International Conference, MCM 2007, Berlin, Germany, May 18-20, 2007. Revised Selected Papers

of: Timour Klouche, Thomas Noll

Springer-Verlag, 2009

ISBN: 9783642045790 , 546 Pages

Format: PDF, Read online

Copy protection: DRM

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Mathematics and Computation in Music - First International Conference, MCM 2007, Berlin, Germany, May 18-20, 2007. Revised Selected Papers


 

Preface

5

Table of Contents

Table of Contents

Rhythm and Transforms, Perception and Mathematics

Rhythm and Transforms, Perception and Mathematics

1 What Is Rhythm?

11

2 Auditory Perception

12

3 Transforms

13

4 Adaptive Oscillators

14

5 Statistical Models

14

6 Automated Rhythm Analysis

15

7 Beat-Based Signal Processing

16

8 Musical Composition and Recomposition

18

9 Musical Analysis via Feature Scores

19

10 Conclusions

19

References

20

Visible Humour – Seeing P.D.Q. Bach's Musical Humour Devices in The Short-Tempered Clavier on the Spiral Array Space

Visible Humour – Seeing P.D.Q. Bach's Musical Humour Devices in The Short-Tempered Clavier on the Spiral Array Space

1 Introduction

21

2 MuSA.RT and Visualization

2 MuSA.RT and Visualization

2.1 Seeing Style Differences

22

3 Expectations Violated

24

3.1 The Jazz Ending

24

3.2 Improbable Harmonies

25

3.3 Excessive Repetition

26

4 Conclusions

27

Acknowledgements

27

References

28

Category-Theoretic Consequences of Denotators as a Universal Data Format

Category-Theoretic Consequences of Denotators as a Universal Data Format

1 Introduction

29

2 Diagrams in Category Theory

30

3 Limits

30

4 Colimits

32

5 Integration in RUBATO COMPOSER

33

References

34

Normal Form, Successive Interval Arrays, Transformations and Set Classes: A Re-evaluation and Reintegration

Normal Form, Successive Interval Arrays, Transformations and Set Classes: A Re-evaluation and Reintegration

References

59

Appendix Rahn/Morris/Scotto Normal Form Algorithm

Appendix Rahn/Morris/Scotto Normal Form Algorithm

A Model of Musical Motifs

62

1 Introduction

62

2 The Formal Model

63

3 AnExample

65

4 Discussion

67

References

68

Melodic Clustering within Motivic Spaces: Visualization in OpenMusic and Application to Schumann’s Träumerei

69

1 Introduction

69

2 Topological Model of Motivic Structure

2 Topological Model of Motivic Structure

2.1 Melodic Clustering within Motivic Spaces

71

3 Model Implementation and Visualization in OpenMusic

71

4 Application to Schumann’s Traumerei

4 Application to Schumann’s Traumerei

References

76

Topological Features of the Two-Voice Inventions

77

1 Introduction

77

2 The Similarity Neighbourhood Model

78

3 Inheritance Property

80

4 Redundant Melodies

81

5 Finding Subsequences

82

6 Melodic Topologies

84

6.1 Melodic Topologies on the Syntagms

85

6.2 Investigation of the Inventions

85

7 Conclusion

86

References

87

Comparing Computational Approaches to Rhythmic and Melodic Similarity in Folksong Research

Comparing Computational Approaches to Rhythmic and Melodic Similarity in Folksong Research

1 Introduction

88

2 Two Computational Approaches to Rhythmic Similarity

2 Two Computational Approaches to Rhythmic Similarity

2.1 Transportation Distances

89

2.2 Inner Metric Analysis

89

2.3 Defining Similarity Based on Inner Metric Analysis

91

3 Evaluation of the Rhythmic Similarity Approaches

3 Evaluation of the Rhythmic Similarity Approaches

3.1 A Detailed Comparison on the Melody Group Deze Morgen

93

3.2 Summary of Further Results

96

4 Conclusion

96

References

96

Automatic Modulation Finding Using Convex Sets of Notes

Automatic Modulation Finding Using Convex Sets of Notes

1 Introduction

98

2 Probability of Convex Sets in Music

98

2.1 Finding Modulations by Means of Convexity

102

3 Results

104

4 Conclusions

105

Acknowledgments

105

References

105

On Pitch and Chord Stability in Folk Song Variation Retrieval

On Pitch and Chord Stability in Folk Song Variation Retrieval

1 Introduction

107

Overview

107

2 Modifications of the Retrieval System

108

3 Pitch Stability

109

3.1 Metrical Levels

109

3.2 Evaluation of Pitch Stability

110

3.3 Query Formulation

110

4 Implied Chord Stability

111

4.1 Harmonization

111

4.2 Evaluation of Implied Chord Stability

111

4.3 Contextualization

112

5 Excerpts from the Variation Group ‘Frankrijk B1’

113

6 Summary

115

Acknowledgements

116

References

116

Bayesian Model Selection for Harmonic Labelling

Bayesian Model Selection for Harmonic Labelling

1 Introduction

117

2 Previous Work

118

3 Model

120

3.1 Dirichlet Distributions

120

3.2 The Chord Model

120

3.3 Bayesian Model Selection

121

4 Experiment

122

4.1 Parameter Estimation

122

4.2 Results

123

5 Conclusions

125

References

125

The Flow of Harmony as a Dynamical System

127

1 Dynamical Systems Applied to Harmony

127

2 Dynamical Systems Applied to Counterpoint

129

3 The Composer

3 The Composer

4 Summary

131

References

131

Tonal Implications of Harmonic and Melodic Tn-Types

134

Tn-types of cardinality 3

135

The harmonic profile

137

The tonal profile

142

Perceptual profiles, consonance and prevalence

144

Conclusion

145

References

146

Calculating Tonal Fusion by the Generalized Coincidence Function

Calculating Tonal Fusion by the Generalized Coincidence Function

1 Background

150

1.1 Tonal Fusion and Roughness

150

1.2 Interspike Interval Distributions, Pitch Estimates and Harmony

151

1.2.1 Neuronal Code and Pitch

151

1.2.2 Interspike Intervals

152

1.2.3 Coinciding Periodicity Patterns for Intervals

152

1.2 Autocorrelation

153

1.2.1 Autocorrelation versus Fourier-Analysis

153

1.2.2 Hearing Theories and Autocorrelation

153

1.3 Langner’s Neuronal Correlator

153

2 Mathematical Model of Generalized Coincidence

154

2.1 Correlation Functions

154

2.2 Sequence Representation of a Tone

155

2.3 Sequence Representation of an Interval

156

2.4 Autocorrelation Function of an Interval

158

2.5 Definition of the Generalized Coincidence Function

158

3 Application of the Model to Rectangular Pulse Sequences

158

3.1 Correlation Functions of Rectangular Pulses

158

3.1.1 Autocorrelation Function of the Rectangular Pulse

158

3.1.2 Cross Correlation Function of the Rectangular Pulse

159

3.1.3 Autocorrelation Function of an Interval Represented by Rectangular Sequences

3.1.3 Autocorrelation Function of an Interval Represented by Rectangular Sequences

3.2 Calculation of the Generalized Coincidence Function

162

4 Conclusion

163

References

163

Predicting Music Therapy Clients’ Type of Mental Disorder Using Computational Feature Extraction and Statistical Modelling Techniques

Predicting Music Therapy Clients’ Type of Mental Disorder Using Computational Feature Extraction and Statistical Modelling Techniques

1 Introduction

166

2 Previous Music Therapy Research

167

3 Computational Music Analysis

168

4 Method

169

5 Quantifying the Client-Therapist Interaction

172

6 Results

174

7 Discussion

175

References

176

Nonlinear Dynamics, the Missing Fundamental, and Harmony

Nonlinear Dynamics, the Missing Fundamental, and Harmony

1 Pitch Perception

178

2 Residue Behaviour

179

3 Nonlinear Dynamics of Forced Oscillators

181

3.1 n = 1

181

3.1.1 Synchronization

181

3.1.2 Quasiperiodicity

182

3.2 n = 2

183

3.2.1 Synchronization

183

3.2.2 Three-Frequency Resonances

183

4 A Nonlinear Theory for the Residue

184

5 The Golden Mean in Art and Science

186

6 The Need for Musical Scales

188

7 The Golden Scales

189

8 Playing and Transposing with Golden Scales in Equal Temperament

8 Playing and Transposing with Golden Scales in Equal Temperament

9 Can Our Senses Be Viewed as Generic Nonlinear Systems?

194

References

196

Dynamic Excitation Impulse Modification as a Foundation of a Synthesis and Analysis System for Wind Instrument Sounds

Dynamic Excitation Impulse Modification as a Foundation of a Synthesis and Analysis System for Wind Instrument Sounds

1 Introduction

199

2 Cyclical Spectra

200

3 Synthesis and Analysis Framework

203

3.1 The Digital Variophon

203

3.2 Formalisation

204

3.3 The Pulse Width Function

205

3.4 Application of the System

206

4 Discussion

206

Acknowledgement

207

References

207

Non-linear Circles and the Triple Harp: Creating a Microtonal Harp

Non-linear Circles and the Triple Harp: Creating a Microtonal Harp

1 Introduction

208

2 The Triple Harp

209

3 Non-linear Tuning Systems

209

4 Microtonal Triple Harp

210

5 Notation

211

6 Composing for Microtonal Triple Harp

211

7 Conclusion

213

References

213

Applying Inner Metric Analysis to 20th Century Compositions

Applying Inner Metric Analysis to 20th Century Compositions

1 Inner Metric Analysis

214

2 Analytic Results

215

2.1 Skrjabin’s op. 65 No. 3

215

2.2 Webern’s Op. 27, 2nd Movement

216

2.3 Xenakis’ Keren

217

2.4 Comparison of the Results

220

References

220

Tracking Features with Comparison Sets in Scriabin’s Study op. 65/3

Tracking Features with Comparison Sets in Scriabin’s Study op. 65/3

1 Comparison Set Analysis

221

2 About the Tail Segmentation and Similarity Measures Used in the Analyses

2 About the Tail Segmentation and Similarity Measures Used in the Analyses

3 The Occurrences of the ’Mystic Chord’ among Scriabin’s Piano Pieces

3 The Occurrences of the ’Mystic Chord’ among Scriabin’s Piano Pieces

4 Detecting Op. 65/3 with Comparison Sets

225

5 Conclusions

228

References

229

Computer Aided Analysis of Xenakis-Keren

230

1 Introduction

230

2 Xenakis – Keren

231

References

239

Automated 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

1 General Framework

240

1.1 Motivic Pattern Extraction

240

1.2 Musical Dimensions

241

1.3 Matching Strategy

241

1.4 Analysis of Debussy’s Syrinx

242

2 Controlling the Combinatorial Redundancy

242

2.1 Maximal Patterns and Closed Patterns

242

2.2 Multidimensionality of Music

244

2.3 Formal Concept – Representation of Patterns

245

2.4 Specificity Relations

246

2.5 Cyclic Patterns

247

3 From Monody to Polyphony

248

References

248

Pitch Symmetry and Invariants in Webern's Sehr Schnell from Variations Op.27

Pitch Symmetry and Invariants in Webern's Sehr Schnell from Variations Op.27

1 Introduction

250

2 w = One Eighth Note

251

3 w = Two Eighth Notes

253

4 w = Three Eighth Notes

254

5 Center on A

255

Acknowledgements

256

References

256

Computational AnalysisWorkshop: Comparing Four Approaches to Melodic Analysis

Computational AnalysisWorkshop: Comparing Four Approaches to Melodic Analysis

1 Comparing Four Approaches to Melodic Analysis

257

References

259

Computer-Aided Investigation of Chord Vocabularies: Statistical Fingerprints of Mozart and Schubert

Computer-Aided Investigation of Chord Vocabularies: Statistical Fingerprints of Mozart and Schubert

Presentation

260

References

266

The Irrelative System in Tonal Harmony

267

1 Introduction

267

2 Algorithm Enabling Classification of Chords

267

3 Chords

270

4 Metrical Units

272

5 Record Table

273

Acknowledgement

275

References

275

Mathematics and the Twelve-Tone System: Past, Present, and Future*

Mathematics and the Twelve-Tone System: Past, Present, and Future*

1 Introduction

276

2 The Introduction of Math into Twelve-Tone Music Research

277

3 Important Results and Trends

283

4 Present State of Research

293

5 Future

294

6 Conclusion

295

References

295

Approaching Musical Actions*

299

References

311

A Transformational Space for Elliott Carter's Recent Complement-Union Music*

A Transformational Space for Elliott Carter's Recent Complement-Union Music*

References

320

Networks

321

From Mathematica to Live Performance: Mapping Simple Programs to Music

From Mathematica to Live Performance: Mapping Simple Programs to Music

1 Background

328

2 Data Gathering

330

3 Large Scale Piece

331

3.1 Choice of a Rule

331

3.2 Partitioning

331

4 Initial Conditions

332

5 Choice of Musical Parameters

332

6 The Outcome

332

7 Generative Pitch Collections and Rhythmic Grouping

333

8 Mapping

333

8.1 Rule 90

334

8.2 Rule 30

335

8.3 Rule 110

336

9 New Ground

338

Acknowledgements

338

References

338

Nonlinear Dynamics of Networks: Applications to Mathematical Music Theory

Nonlinear Dynamics of Networks: Applications to Mathematical Music Theory

1 Introduction and Musical Motivation

340

2 Nonlinear Dynamics of Networks

341

3 Discussion and Applications

345

3.1 Nonlinear Dynamics and Musical Ontology

345

3.2 Applications to Algorithmic Composition

348

References

349

Form, Transformation and Climax in Ruth Crawford Seeger’s String Quartet, Mvmt. 3

Form, Transformation and Climax in Ruth Crawford Seeger’s String Quartet, Mvmt. 3

References

355

A Local Maximum Phrase Detection Method for Analyzing Phrasing Strategies in Expressive Performances

A Local Maximum Phrase Detection Method for Analyzing Phrasing Strategies in Expressive Performances

1 Introduction

357

2 The Method

358

2.1 Data Extraction

358

2.2 The Case for Loudness

358

2.3 Local Maximum Phrase Detection

360

2.3.1 Phrase Strength and Volatility

360

2.3.2 Phrase Typicality

362

3 Conclusion and Discussion

362

Acknowledgements

363

References

363

Subgroup Relations among Pitch-Class Sets within Tetrachordal K-Families

Subgroup Relations among Pitch-Class Sets within Tetrachordal K-Families

References

374

K-Net Recursion in Perlean Hierarchical Structure

375

1 Introduction

375

2 K-Nets and Perle Cycles

375

3 K-Nets, Arrays, and Axis-Dyad Chords

377

4 K-Nets and Array Relationships

378

5 K-Nets, Interval Systems, Modes, and Keys

379

6 K-Nets and Synoptic Arrays

380

7 K-Nets and Tonality

382

8 Summary

384

References

384

Webern’s Twelve-Tone Rows through the Medium of Klumpenhouwer Networks

Webern’s Twelve-Tone Rows through the Medium of Klumpenhouwer Networks

References

395

Isographies of Pitch-Class Sets and Set Classes

396

1 Introduction

396

2 Isography of Pitch-Class Sets and Set Classes

397

3 Tonality and Whole-Tone Scale Proportion

398

4 Relations of Set Classes

399

References

401

The Transmission of Pythagorean Arithmetic in the Context of the Ancient Musical Tradition from the Greek to the Latin Orbits During the Renaissance: A Computational Approach of Identifying and Analyzing the Formation of Scales in the De Harmonia Musicorum Instrumentorum Opus (Milan, 1518) of Franchino Gaffurio (1451–1522)*

The Transmission of Pythagorean Arithmetic in the Context of the Ancient Musical Tradition from the Greek to the Latin Orbits During the Renaissance: A Computational Approach of Identifying and Analyzing the Formation of Scales in the De Harmonia Musicorum Instrumentorum Opus (Milan, 1518) of Franchino Gaffurio (1451–1522)*

Bibliography

411

Combinatorial and Transformational Aspects of Euler's Speculum Musicum

Combinatorial and Transformational Aspects of Euler's Speculum Musicum

References

420

Structures Ia Pour Deux Pianos by Boulez: Towards Creative Analysis Using Open Musicand Rubato

Structures Ia Pour Deux Pianos by Boulez: Towards Creative Analysis Using Open Musicand Rubato

1 Introduction

422

2 Compositional Process in Structures Ia

423

2.1 Analysis of Constructional and Serial Principles: Decision and Automatism

2.1 Analysis of Constructional and Serial Principles: Decision and Automatism

2.2 How to Create from an Analysis

423

3 An Implementation in OpenMusic: A Visual and Functional Environment

3 An Implementation in OpenMusic: A Visual and Functional Environment

3.1 Patches and Circularity

424

3.2 Composing Following the Model with the Benefit of a Graphical Composition Environment

3.2 Composing Following the Model with the Benefit of a Graphical Composition Environment

4 Rubato: A Higher Level of Abstraction with a Categorical View

4 Rubato: A Higher Level of Abstraction with a Categorical View

4.1 Different Perspectives Delivered by Rubato

425

4.2 Possibilities Brought by Rubato

426

4.3 Scheme of the Construction

426

5 Conclusion

427

References

427

The Sieves of Iannis Xenakis

429

1 Introduction

429

2 Types of Formulae

430

3 Symmetries/Periodicities

430

4 Inner-Periodic Formula

431

4.1 Inner Periodicities and Formulae Redundancy

431

4.2 Construction of the Inner-Periodic Simplified Formula

431

4.3 Analytical Algorithm: Early Stage

432

4.4 The Condition of Inner Periodicity

433

4.5 Analytical Algorithm: Final Stage

433

4.6 The Condition of Inner Symmetry

434

4.7 Inner-Symmetric Analysis

435

4.8 Modules and Degree of Symmetry

438

References

439

Tonal, Atonal and Microtonal Pitch-Class Categories

440

1 Introduction

440

2 Applying Pitch-Class Set Theory on Sets with Cardinality (Pitch-Classes) Other Than 12

2 Applying Pitch-Class Set Theory on Sets with Cardinality (Pitch-Classes) Other Than 12

3 Pitch-Class Set Theory within a Bit-Sequence

442

4 Pitch-Class Categories

444

5 Discussion and Future Work

446

6 Conclusion

447

References

447

Appendix

448

Using Mathematica to Compose Music and Analyze Music with Information Theory

Using Mathematica to Compose Music and Analyze Music with Information Theory

1 Composition of Music Using Mathematica

451

2 Nonlinear Time Series Analysis of Musical Compositions

2 Nonlinear Time Series Analysis of Musical Compositions

2.1 Creating Time Series from Sheet Music

453

2.2 Transfer Entropy and the Relationship between Physical Systems

455

2.3 The Application of the Transfer Entropy to a Symphony

455

3 Conclusions

458

References

458

A Diatonic Chord with Unusual Voice-Leading Capabilities

A Diatonic Chord with Unusual Voice-Leading Capabilities

References

469

Mathematical and Musical Properties of Pairwise Well-Formed Scales

Mathematical and Musical Properties of Pairwise Well-Formed Scales

1 Pairwise Well-Formed and Well-Formed Scales

475

2 Some Properties of Pairwise Well-Formed Scales

476

3 Classification of Pairwise Well-Formed Scales

476

References

478

Eine Kleine Fourier Musik

479

Introduction

479

1 DFT of a pc Set

1 DFT of a pc Set

2 Maximal Values

480

2.1 Regular Polygons

481

2.2 The General Case

481

2.3 Other Maximal Values

482

3 Minimal Values

483

4 MeanValue(s)

484

5 Coda

485

References

486

WF Scales, ME Sets, and Christoffel Words

487

1 Well-Formed Scales

487

2 Christoffel Words

489

3 Well-Formed Classes and Christoffel Words, Duality

490

4 Christoffel Words, Maximally Even Sets and Musical Modes

4 Christoffel Words, Maximally Even Sets and Musical Modes

5 Christoffel Tree and the Monoid SL(2, N)

494

6 Final Remarks

6 Final Remarks

References

497

Interval Preservation in Group- and Graph-Theoretical Music Theories: A Comparative Study

Interval Preservation in Group- and Graph-Theoretical Music Theories: A Comparative Study

References

502

Pseudo-diatonic Scales

503

1 Shuffled Stern-Brocot Tree

503

2 Construction of Pseudo-diatonic Scales

504

References

507

Affinity Spaces and Their Host Set Classes

509

1 Affinities in the Medieval Dasian Scale

509

2 The Dasian Space

511

3 Four Properties of the Dasian Space

513

4 Affinity Spaces

515

5 Three Properties of Host Set Classes

519

6 Generating Affinity Spaces

519

7 Conclusion

521

References

521

The Step-Class Automorphism Group in Tonal Analysis

522

Bibliography

530

A Linear Algebraic Approach to Pitch-Class Set Genera

A Linear Algebraic Approach to Pitch-Class Set Genera

1 ‘Corner-Stone Set-Classes’

531

2 Applying Cosine Distance and the Determinant of a Matrix with Musical Set Classes

2 Applying Cosine Distance and the Determinant of a Matrix with Musical Set Classes

3 Volume Tests with Interval-Class Vectors

533

4 ‘Strangest’ Hexachords

535

5 Principal Component Analysis: A Flexible Approach for Mapping ICV-Space

5 Principal Component Analysis: A Flexible Approach for Mapping ICV-Space

6 Using Corner-Stone Vectors for Producing a System of Genera

6 Using Corner-Stone Vectors for Producing a System of Genera

7 Harmonic Space in Composition

538

8 Conclusions

539

References

539

Author Index

541

Index

542