Computational Music Analysis / edited by David Meredith.

Format:

Book

Contributor:

Meredith, David, Editor.

Language:

English

Subjects (All):

Application software.

Music.

Computer Appl. in Arts and Humanities.

Local Subjects:

Computer Appl. in Arts and Humanities.

Music.

Physical Description:

1 online resource (483 p.)

Edition:

1st ed. 2016.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2016.

Language Note:

English

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.

Contents:

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.

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

ISBN:

3-319-25931-8