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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