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Mathematics and Computation in Music

Overview of attention for book
Cover of 'Mathematics and Computation in Music'

Table of Contents

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    Book Overview
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    Chapter 1 Hamiltonian Cycles in the Topological Dual of the Tonnetz
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    Chapter 2 The Continuous Hexachordal Theorem
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    Chapter 3 Speech Rhythms and Metric Frames
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    Chapter 4 Temporal Patterns in Polyphony
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    Chapter 5 Maximally Smooth Diatonic Trichord Cycles
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    Chapter 6 Towards a Symbolic Approach to Sound Analysis
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    Chapter 7 Plain and Twisted Adjoints of Well-Formed Words
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    Chapter 8 Regions and Standard Modes
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    Chapter 9 Compatibility of the Different Tuning Systems in an Orchestra
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    Chapter 10 Formal Diatonic Intervallic Notation
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    Chapter 11 Determining Feature Relevance in Subject Responses to Musical Stimuli
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    Chapter 12 Sequential Association Rules in Atonal Music
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    Chapter 13 Badness of Serial Fit Revisited
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    Chapter 14 Estimating the Tonalness of Transpositional Type Pitch-Class Sets Using Learned Tonal Key Spaces
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    Chapter 15 Musical Experiences with Block Designs
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    Chapter 16 A Generalisation of Diatonicism and the Discrete Fourier Transform as a Mean for Classifying and Characterising Musical Scales
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    Chapter 17 The Geometry of Melodic, Harmonic, and Metrical Hierarchy
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    Chapter 18 A Multi-tiered Approach for Analyzing Expressive Timing in Music Performance
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    Chapter 19 HMM Analysis of Musical Structure: Identification of Latent Variables Through Topology-Sensitive Model Selection
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    Chapter 20 A Declarative Language for Dynamic Multimedia Interaction Systems
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    Chapter 21 Generalized Voice Exchange
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    Chapter 22 Representing and Estimating Musical Expression in Melody
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    Chapter 23 Evaluating Tonal Distances between Pitch-Class Sets and Predicting Their Tonal Centres by Computational Models
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    Chapter 24 Three Conceptions of Musical Distance
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    Chapter 25 Pairwise Well-Formed Scales and a Bestiary of Animals on the Hexagonal Lattice
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    Chapter 26 Generalized Tonnetz and Well-Formed GTS: A Scale Theory Inspired by the Neo-Riemannians
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Mathematics and Computation in Music
Published by
ADS, June 2009
DOI 10.1007/978-3-642-02394-1
978-3-64-202393-4, 978-3-64-202394-1

Chew, Elaine, Childs, Adrian, Chuan, Ching-Hua

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Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 April 2019.
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Altmetric has tracked 14,590,652 research outputs across all sources so far. This one is in the 24th percentile – i.e., 24% of other outputs scored the same or lower than it.
So far Altmetric has tracked 27,082 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
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We're also able to compare this research output to 209 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.