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Using Corpus Studies to Find the Origins of the Madrigal: Music and Feature Values

Authors: Cumming, Julie E. (6917417); McKay, Cory (6917420);

Using Corpus Studies to Find the Origins of the Madrigal: Music and Feature Values

Abstract

This distribution includes files associated with the experiments described in the "Using Corpus Studies to Find the Origins of the Madrigal" paper presented at the 2021 Future Directions of Music Cognition conference (http://org.osu.edu/mascats/). Our group encoded all the music from the original sources ourselves, using Sibelius, and exported the Sibelius data as PDF and MIDI files. The details of the corpus are described in the "Florence 164 Metadata.xlsx" file and in the conference paper itself. All files included in this archive are distributed under a "CC BY-SA 4.0" license" license (https://creativecommons.org/licenses/by-sa/4.0/). All features were extracted using jSymbolic 2.2 (http://jmir.sourceforge.net) directly from the MIDI encodings included here. Details on all the individual features extracted with the software are available in the jSymbolic manual (http://jmir.sourceforge.net/manuals/jSymbolic_manual/home.html). The features are presented as follows in the "F164_Extracted_Features" folder: - F164_Feature_Definitions.xml: Descriptions of all extracted features, encoded in ACE XML 1.0, as output directly by jSymbolic. This file does not itself include any feature values. - F164_Feature_Values.xml: Extracted feature values, encoded in ACE XML 1.0, as output directly by jSymbolic. The features are described in the FeatureDefinitions.xml file. Class associations are implied by the folder containing each MIDI file. - F164_Feature_Values_BasicCSV: Extracted feature values encoded in a CSV file, as output directly by jSymbolic. Class associations are implied by the folder containing each MIDI file. - F164_Feature_Values_HumanReadable.xlsx: Extracted features formatted into a human-readable Microsoft Excel file. Group averages and standard deviations have been added to the bottom. - F164_Feature_Values_WekaReady.csv: Extracted feature values encoded in a CSV file in a format readable by Weka (https://www.cs.waikato.ac.nz/ml/weka/). Class values have been added in a column on the right, and file paths have been removed, as required by Weka.

Thanks to Ian Lorenz, Jonathan Stuchbery, Linda Pearse, Sara Sabol, Vi-An Tran, Zoey Cochran, Tristan Tenaglio, Rían Adamían, Ichiro Fujinaga, and SIMSSA for their important contributions. Financial support was provided by the granting agencies FRQSC (Fonds de recherche Société et Culture du Québec) and SSHRC (Social Sciences and Humanities Research Council of Canada).

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Keywords

Ecology, Space Science, Science Policy, Virology, Madrigals, jSymbolic, Information Systems not elsewhere classified, Genetics, Plant Biology, Florence 164, Molecular Biology, Cancer, Biological Sciences not elsewhere classified

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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