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Computational Music Analysis

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Cover of 'Computational Music Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Music Analysis by Computer: Ontology and Epistemology
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    Chapter 2 The Harmonic Musical Surface and Two Novel Chord Representation Schemes
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    Chapter 3 Topological Structures in Computer-Aided Music Analysis
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    Chapter 4 Contextual Set-Class Analysis
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    Chapter 5 Computational Analysis of Musical Form
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    Chapter 6 Chord- and Note-Based Approaches to Voice Separation
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    Chapter 7 Analysing Symbolic Music with Probabilistic Grammars
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    Chapter 8 Interactive Melodic Analysis
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    Chapter 9 Implementing Methods for Analysing Music Based on Lerdahl and Jackendoff’s Generative Theory of Tonal Music
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    Chapter 10 An Algebraic Approach to Time-Span Reduction
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    Chapter 11 Automated Motivic Analysis: An Exhaustive Approach Based on Closed and Cyclic Pattern Mining in Multidimensional Parametric Spaces
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    Chapter 12 A Wavelet-Based Approach to Pattern Discovery in Melodies
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    Chapter 13 Analysing Music with Point-Set Compression Algorithms
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    Chapter 14 Composer Classification Models for Music-Theory Building
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    Chapter 15 Contrast Pattern Mining in Folk Music Analysis
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    Chapter 16 Pattern and Antipattern Discovery in Ethiopian Bagana Songs
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    Chapter 17 Using Geometric Symbolic Fingerprinting to Discover Distinctive Patterns in Polyphonic Music Corpora
Attention for Chapter 11: Automated Motivic Analysis: An Exhaustive Approach Based on Closed and Cyclic Pattern Mining in Multidimensional Parametric Spaces
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Chapter title
Automated Motivic Analysis: An Exhaustive Approach Based on Closed and Cyclic Pattern Mining in Multidimensional Parametric Spaces
Chapter number 11
Book title
Computational Music Analysis
Published by
Springer International Publishing, October 2015
DOI 10.1007/978-3-319-25931-4_11
Book ISBNs
978-3-31-925929-1, 978-3-31-925931-4
Authors

Olivier Lartillot

Editors

David Meredith

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 1 20%
Student > Bachelor 1 20%
Student > Ph. D. Student 1 20%
Researcher 1 20%
Student > Postgraduate 1 20%
Other 0 0%
Readers by discipline Count As %
Arts and Humanities 1 20%
Mathematics 1 20%
Computer Science 1 20%
Neuroscience 1 20%
Unknown 1 20%