Figured Bass Encodings for Bach Chorales in Various Symbolic Formats: A Case Study

Figured Bass Encodings for Bach Chorales in Various Symbolic Formats: A Case Study. Ju, Y., Margot, S., McKay, C., & Fujinaga, I. In De Luca, E. & Flanders, J., editors, Music Encoding Conference Proceedings 2020, pages 71–73, 2020. Humanities Commons.
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The computational study of figured bass remains an under-researched topic, likely due to the lack of machine- readable datasets. This paper is intended to address the paucity of digital figured bass data by 1) investigating procedures for systematically annotating symbolic music files with figured bass, and 2) producing and releasing a model annotated dataset as an illustration of how these procedures can be applied in practice. We introduce the Bach Chorales Figured Bass dataset, which includes 103 chorales composed by Johann Sebastian Bach that includes both the original music and figured bass annotations encoded in MusicXML, **kern, and MEI formats.

@inproceedings{Ju_2020,
 abstract = {The computational study of figured bass remains an under-researched topic, likely due to the lack of machine- readable datasets. This paper is intended to address the paucity of digital figured bass data by 1) investigating procedures for systematically annotating symbolic music files with figured bass, and 2) producing and releasing a model annotated dataset as an illustration of how these procedures can be applied in practice. We introduce the Bach Chorales Figured Bass dataset, which includes 103 chorales composed by Johann Sebastian Bach that includes both the original music and figured bass annotations encoded in MusicXML, **kern, and MEI formats.},
 author = {Ju, Yaolong and Margot, Sylvain and McKay, Cory and Fujinaga, Ichiro},
 title = {{Figured Bass Encodings for Bach Chorales in Various Symbolic Formats: A Case Study}},
 pages = {71--73},
 publisher = {{Humanities Commons}},
 editor = {{De Luca}, Elsa and Flanders, Julia},
 booktitle = {{Music Encoding Conference Proceedings 2020}},
 year = {2020},
 doi = {10.17613/hcbz-5702},
 keywords = {mec-proceedings, mec-proceedings-2020},
 displayby = {Contributions from MEC 2020}
}

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