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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.
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.
Includes algorithms for computing structural descriptions of musical works and corpora
Explains applications of computational music analysis algorithms and methodologies for evaluating the output of music analysis algorithms
Authors include leading researchers in this domain
Includes supplementary material: [...]
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.
| Erscheinungsjahr: | 2015 |
|---|---|
| Fachbereich: | Anwendungs-Software |
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Seiten: | 496 |
| Inhalt: |
xv
480 S. |
| ISBN-13: | 9783319259291 |
| ISBN-10: | 3319259296 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | HC runder Rücken kaschiert |
| Einband: | Gebunden |
| Redaktion: | Meredith, David |
| Herausgeber: | David Meredith |
| Auflage: | 1st ed. 2016 |
| Hersteller: |
Springer International Publishing
Springer International Publishing AG |
| Maße: | 241 x 160 x 33 mm |
| Von/Mit: | David Meredith |
| Erscheinungsdatum: | 05.11.2015 |
| Gewicht: | 0,904 kg |
Includes algorithms for computing structural descriptions of musical works and corpora
Explains applications of computational music analysis algorithms and methodologies for evaluating the output of music analysis algorithms
Authors include leading researchers in this domain
Includes supplementary material: [...]
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.
| Erscheinungsjahr: | 2015 |
|---|---|
| Fachbereich: | Anwendungs-Software |
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Seiten: | 496 |
| Inhalt: |
xv
480 S. |
| ISBN-13: | 9783319259291 |
| ISBN-10: | 3319259296 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | HC runder Rücken kaschiert |
| Einband: | Gebunden |
| Redaktion: | Meredith, David |
| Herausgeber: | David Meredith |
| Auflage: | 1st ed. 2016 |
| Hersteller: |
Springer International Publishing
Springer International Publishing AG |
| Maße: | 241 x 160 x 33 mm |
| Von/Mit: | David Meredith |
| Erscheinungsdatum: | 05.11.2015 |
| Gewicht: | 0,904 kg |
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