Alternative measures: A musicologist workbench for popular music. Clark, B. & Arthur, C. In Proceedings of the Sound and Music Computing Conferences, pages 407–414, 2019. abstract bibtex The objective of this project is to create a digital “workbench” for quantitative analysis of popular music. The workbench is a collection of tools and data that allow for efficient and effective analysis of popular music. This project integrates software from pre-existing analytical tools including music21 but adds methods for collecting data about popular music. The workbench includes tools that allow analysts to compare data from multiple sources. Our working prototype of the workbench contains several novel analytical tools which have the potential to generate new musicological insights through the combination of various datasets. This paper demonstrates some of the currently available tools as well as several sample analyses and features computed from this data that support trend analysis. A future release of the workbench will include a user-friendly UI for non-programmers.
@InProceedings{ clark.ea2019-alternative,
author = {Clark, Beach and Arthur, Claire},
year = {2019},
title = {Alternative measures: A musicologist workbench for
popular music},
abstract = {The objective of this project is to create a digital
“workbench” for quantitative analysis of popular
music. The workbench is a collection of tools and data
that allow for efficient and effective analysis of popular
music. This project integrates software from pre-existing
analytical tools including music21 but adds methods for
collecting data about popular music. The workbench
includes tools that allow analysts to compare data from
multiple sources. Our working prototype of the workbench
contains several novel analytical tools which have the
potential to generate new musicological insights through
the combination of various datasets. This paper
demonstrates some of the currently available tools as well
as several sample analyses and features computed from this
data that support trend analysis. A future release of the
workbench will include a user-friendly UI for
non-programmers.},
booktitle = {Proceedings of the Sound and Music Computing
Conferences},
isbn = {9788409085187},
issn = {25183672},
pages = {407--414}
}
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