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Music and Artificial Intelligence

Overview of attention for book
Cover of 'Music and Artificial Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Structure and Interpretation of Music Concepts: Music from a Computational Perspective
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    Chapter 2 Expressive Gesture
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    Chapter 3 A General Parsing Model for Music and Language
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    Chapter 4 The Spiral Array: An Algorithm for Determining Key Boundaries
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    Chapter 5 Representation and Discovery of Vertical Patterns in Music
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    Chapter 6 Discovering Musical Structure in Audio Recordings
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    Chapter 7 Real Time Tracking and Visualisation of Musical Expression
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    Chapter 8 Automatic Classification of Drum Sounds: A Comparison of Feature Selection Methods and Classification Techniques
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    Chapter 9 Some Formal Problems with Schenkerian Representations of Tonal Structure
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    Chapter 10 Respiration Reflecting Musical Expression: Analysis of Respiration during Musical Performance by Inductive Logic Programming
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    Chapter 11 Mimetic Development of Intonation
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    Chapter 12 Interacting with a Musical Learning System: The Continuator
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    Chapter 13 Recognition of Isolated Musical Patterns Using Hidden Markov Models
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    Chapter 14 A Model for the Perception of Tonal Melodies
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    Chapter 15 Control Language for Harmonisation Process
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    Chapter 16 Evaluating Melodic Segmentation
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    Chapter 17 Combining Grammar-Based and Memory-Based Models of Perception of Time Signature and Phase
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    Chapter 18 A Bayesian Approach to Key-Finding
Attention for Chapter 4: The Spiral Array: An Algorithm for Determining Key Boundaries
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Chapter title
The Spiral Array: An Algorithm for Determining Key Boundaries
Chapter number 4
Book title
Music and Artificial Intelligence
Published by
Springer, Berlin, Heidelberg, January 2002
DOI 10.1007/3-540-45722-4_4
Book ISBNs
978-3-54-044145-8, 978-3-54-045722-0
Authors

Elaine Chew, Chew, Elaine

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X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Mexico 1 2%
Germany 1 2%
Belgium 1 2%
Unknown 37 90%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 29%
Student > Ph. D. Student 10 24%
Researcher 8 20%
Student > Bachelor 2 5%
Student > Doctoral Student 2 5%
Other 5 12%
Unknown 2 5%
Readers by discipline Count As %
Computer Science 20 49%
Engineering 8 20%
Arts and Humanities 4 10%
Physics and Astronomy 2 5%
Psychology 2 5%
Other 3 7%
Unknown 2 5%