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Mathematics and Computation in Music

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

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Structural Theory of Rhythm Notation Based on Tree Representations and Term Rewriting
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    Chapter 2 Renotation from Optical Music Recognition
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    Chapter 3 Foundations for Reliable and Flexible Interactive Multimedia Scores
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    Chapter 4 Genetic Algorithms Based on the Principles of Grundgestalt and Developing Variation
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    Chapter 5 Mathematics and Computation in Music
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    Chapter 6 Improved Iterative Random Walk for Four-Part Harmonization
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    Chapter 7 Location Constraints for Repetition-Based Segmentation of Melodies
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    Chapter 8 Modeling Musical Structure with Parametric Grammars
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    Chapter 9 Perfect Balance: A Novel Principle for the Construction of Musical Scales and Meters
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    Chapter 10 Characteristics of Polyphonic Music Style and Markov Model of Pitch-Class Intervals
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    Chapter 11 A Corpus-Sensitive Algorithm for Automated Tonal Analysis
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    Chapter 12 Finding Optimal Triadic Transformational Spaces with Dijkstra’s Shortest Path Algorithm
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    Chapter 13 A Probabilistic Approach to Determining Bass Voice Leading in Melodic Harmonisation
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    Chapter 14 Hypergestures in Complex Time: Creative Performance Between Symbolic and Physical Reality
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    Chapter 15 Generating Fingerings for Polyphonic Piano Music with a Tabu Search Algorithm
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    Chapter 16 Logistic Modeling of Note Transitions
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    Chapter 17 Evaluating Singer Consistency and Uniqueness in Vocal Performances
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    Chapter 18 A Change-Point Approach Towards Representing Musical Dynamics
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    Chapter 19 Structural Similarity Based on Time-Span Sub-Trees
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    Chapter 20 Mathematics and Computation in Music
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    Chapter 21 Symbolic Music Similarity Using Neuronal Periodicity and Dynamic Programming
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    Chapter 22 Applications of DFT to the Theory of Twentieth-Century Harmony
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    Chapter 23 Utilizing Computer Programming to Analyze Post-Tonal Music: Contour Analysis of Four Works for Solo Flute
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    Chapter 24 A Statistical Approach to the Global Structure of John Cage’s Number Piece \({Five}^5\)
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    Chapter 25 Exact Cover Problem in Milton Babbitt’s All-Partition Array
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    Chapter 26 Constructing Geometrical Spaces from Acoustical Representations
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    Chapter 27 Geometry, Iterated Quantization and Filtered Voice-Leading Spaces
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    Chapter 28 Using Fundamental Groups and Groupoids of Chord Spaces to Model Voice Leading
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    Chapter 29 All-Interval Structures
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    Chapter 30 Unifying Tone System Definitions: Ordering Chromas
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    Chapter 31 A Categorical Generalization of Klumpenhouwer Networks
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    Chapter 32 The Spinnen-Tonnetz: New Musical Dimensions in the 2D Network for Tonal Music Analysis
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    Chapter 33 Probabilistic Segmentation of Musical Sequences Using Restricted Boltzmann Machines
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    Chapter 34 ¿El Caballo Viejo? Latin Genre Recognition with Deep Learning and Spectral Periodicity
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    Chapter 35 Can a Musical Scale Have 14 Generators?
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    Chapter 36 On the Step-Patterns of Generated Scales that are Not Well-Formed
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    Chapter 37 Triads as Modes within Scales as Modes
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    Chapter 38 Greek Ethnic Modal Names vs. Alia Musica’s Nomenclature
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
4 news outlets
twitter
3 tweeters
video
1 video uploader

Readers on

mendeley
20 Mendeley
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Title
Mathematics and Computation in Music
Published by
Lecture notes in computer science, January 2015
DOI 10.1007/978-3-319-20603-5
ISBNs
978-3-31-920602-8, 978-3-31-920603-5
Authors

Tom Collins, David Meredith, Anja Volk, Andrew J. Milne, David Bulger, Steffen A. Herff, William A. Sethares, Collins, Tom, Meredith, David, Volk, Anja

Editors

Tom Collins, David Meredith, Anja Volk

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 5%
Student > Postgraduate 1 5%
Unknown 18 90%
Readers by discipline Count As %
Mathematics 1 5%
Computer Science 1 5%
Unknown 18 90%

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 08 November 2016.
All research outputs
#555,159
of 14,533,433 outputs
Outputs from Lecture notes in computer science
#94
of 7,469 outputs
Outputs of similar age
#10,852
of 233,166 outputs
Outputs of similar age from Lecture notes in computer science
#3
of 252 outputs
Altmetric has tracked 14,533,433 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,469 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 233,166 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 252 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.