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Computer Music Modeling and Retrieval

Overview of attention for book
Cover of 'Computer Music Modeling and Retrieval'

Table of Contents

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    Book Overview
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    Chapter 1 Some Projects and Reflections on Algorithmic Music
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    Chapter 2 Real-Time Beat EstimationUsing Feature Extraction
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    Chapter 3 Towards a General Architecture for Musical Archive Information Systems
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    Chapter 4 The Study of Musical Scales in Central Africa: The Use of Interactive Experimental Methods
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    Chapter 5 Evolving Automatically High-Level Music Descriptors from Acoustic Signals
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    Chapter 6 ‘Ambiguous Live’ – Exploring Collaborative, Dynamic Control of MIDI Sequencers
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    Chapter 7 Characterization of Musical Performance Using Physical Sound Synthesis Models
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    Chapter 8 Conserving an Ancient Art of Music: Making SID Tunes Editable
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    Chapter 9 “GMU” – An Integrated Microsound Synthesis System
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    Chapter 10 What Are We Looking for?
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    Chapter 11 Extraction of Structural Patterns in Popular Melodies
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    Chapter 12 Musical Pattern Extraction Using Genetic Algorithms
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    Chapter 13 Automatic Extraction of Approximate Repetitions in Polyphonic Midi Files Based on Perceptive Criteria
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    Chapter 14 Deriving Musical Structures from Signal Analysis for Music Audio Summary Generation: “Sequence” and “State” Approach
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    Chapter 15 Musical Style Classification from Symbolic Data: A Two-Styles Case Study
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    Chapter 16 FMF (Fast Melody Finder): A Web-Based Music Retrieval System
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    Chapter 17 The Representation Levels of Music Information
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    Chapter 18 “Leçons”: An Approach to a System for Machine Learning, Improvisation and Musical Performance
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    Chapter 19 About the Role of Mapping in Gesture-Controlled Live Computer Music
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    Chapter 20 Designing Musical Interfaces with Composition in Mind
Attention for Chapter 20: Designing Musical Interfaces with Composition in Mind
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Chapter title
Designing Musical Interfaces with Composition in Mind
Chapter number 20
Book title
Computer Music Modeling and Retrieval
Published by
Springer, Berlin, Heidelberg, May 2003
DOI 10.1007/978-3-540-39900-1_20
Book ISBNs
978-3-54-020922-5, 978-3-54-039900-1
Authors

Pascal Gobin, Richard Kronland-Martinet, Guy-André Lagesse, Thierry Voinier, Sølvi Ystad, Gobin, Pascal, Kronland-Martinet, Richard, Lagesse, Guy-André, Voinier, Thierry, Ystad, Sølvi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 2 29%
Unknown 5 71%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 57%
Professor 1 14%
Student > Doctoral Student 1 14%
Unknown 1 14%
Readers by discipline Count As %
Computer Science 3 43%
Arts and Humanities 1 14%
Social Sciences 1 14%
Engineering 1 14%
Unknown 1 14%