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Computational Phonogram Archiving

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Cover of 'Computational Phonogram Archiving'

Table of Contents

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    Book Overview
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    Chapter 1 Computational Music Archiving as Physical Culture Theory
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    Chapter 2 “The Lanang Is the Bus Driver”: Intersections of Ethnography and Music Analysis in a Study of Balinese Arja Drumming
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    Chapter 3 Temperament in Tuning Systems of Southeast Asia and Ancient India
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    Chapter 4 John Blacking Revisited—Comparative Analysis of Venda Tshikone Dance (1958 and 2009)
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    Chapter 5 Smithsonian Folkways and the Associated Ralph Rinzler Folklife Archives and Collections
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    Chapter 6 Analysis and Perception of Javanese Gamelan Tunings
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    Chapter 7 Content-Based Music Retrieval and Visualization System for Ethnomusicological Music Archives
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    Chapter 8 Spatial Manipulation of Musical Sound: Informed Source Separation and Respatialization
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    Chapter 9 Finding Music in Music Data: A Summary of the DaCaRyH Project
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    Chapter 10 Experimental Investigations and Future Possibilities in Network-Mediated Folk Music Performance
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    Chapter 11 Requirements and Use Cases for Digital Sound Archives in Ethnomusicology
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    Chapter 12 Laser-Based Interferometric Techniques for the Study of Musical Instruments
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    Chapter 13 Shock Wave Characteristics in the Initial Transient of an Organ Pipe
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    Chapter 14 Computed Tomography as a Tool for Archiving Ethnomusicological Objects
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    Chapter 15 3D Imaging of Musical Instruments: Methods and Applications
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    Chapter 16 How to Interprete Early Recordings? Artefacts and Resonances in Recording and Reproduction of Singing Voices
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Title
Computational Phonogram Archiving
Published by
Springer International Publishing, February 2019
DOI 10.1007/978-3-030-02695-0
ISBNs
978-3-03-002694-3, 978-3-03-002695-0
Editors

Bader, Rolf

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 33%
Unknown 2 67%
Readers by discipline Count As %
Arts and Humanities 1 33%
Unknown 2 67%