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Computational music analysis [electronic resource] / David Meredith, editor.

Meredith, David, 1967- editor.
2016
ML3800 .C66 2016eb
Available Online
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Title
Computational music analysis [electronic resource] / David Meredith, editor.
ISBN
9783319259314 (electronic book)
3319259318 (electronic book)
9783319259291
3319259296
DOI
https://doi.org/10.1007/978-3-319-25931-4
Published
Cham : Springer, [2016]
Copyright
©2016
Language
English
Description
1 online resource (xv, 480 pages) : illustrations.
Item Number
10.1007/978-3-319-25931-4 doi
Call Number
ML3800 .C66 2016eb
Dewey Decimal Classification
780.1
Summary
This book provides an in-depth introduction and overview of current research in computational music analysis. Its seventeen chapters, written by leading researchers, collectively represent the diversity as well as the technical and philosophical sophistication of the work being done today in this intensely interdisciplinary field. A broad range of approaches are presented, employing techniques originating in disciplines such as linguistics, information theory, information retrieval, pattern recognition, machine learning, topology, algebra and signal processing. Many of the methods described draw on well-established theories in music theory and analysis, such as Forte's pitch-class set theory, Schenkerian analysis, the methods of semiotic analysis developed by Ruwet and Nattiez, and Lerdahl and Jackendoff's Generative Theory of Tonal Music. The book is divided into six parts, covering methodological issues, harmonic and pitch-class set analysis, form and voice-separation, grammars and hierarchical reduction, motivic analysis and pattern discovery and, finally, classification and the discovery of distinctive patterns. As a detailed and up-to-date picture of current research in computational music analysis, the book provides an invaluable resource for researchers, teachers and students in music theory and analysis, computer science, music information retrieval and related disciplines. It also provides a state-of-the-art reference for practitioners in the music technology industry.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Meredith, David, 1967- editor.
Available in Other Form
Computational music analysis.
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All Resources
Music Analysis by Computer Ontology and Epistemology
The Harmonic Musical Surface and Two Novel Chord Representation Schemes
Topological Structures in Computer-Aided Music Analysis
Contextual Set-Class Analysis
Computational Analysis of Musical Form
Chord- and Note-Based Approaches to Voice Separation
Analysing Symbolic Music with Probabilistic Grammars
Interactive Melodic Analysis
Implementing Methods for Analysing Music Based on Lerdahl and Jackendoff's Generative Theory of Tonal Music
An Algebraic Approach to Time-Span Reduction
Automated Motivic Analysis An Exhaustive Approach Based on Closed and Cyclic Pattern Mining in Multidimensional Parametric Spaces
A Wavelet-Based Approach to Pattern Discovery in Melodies
Analysing Music with Point-Set Compression Algorithms
Composer Classification Models for Music-Theory Building
Contrast Pattern Mining in Folk Music Analysis
Pattern and Antipattern Discovery in Ethiopian Bagana Songs
Using Geometric Symbolic Fingerprinting to Discover Distinctive Patterns in Polyphonic Music Corpora
Index.

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