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b/joss.05195/10.21105.joss.05195.crossref.xml @@ -0,0 +1,359 @@ + + + + 20230814T164156-0900feec3e51eee49d2775460270c3c787e72d15 + 20230814164156 + + JOSS Admin + admin@theoj.org + + The Open Journal + + + + + Journal of Open Source Software + JOSS + 2475-9066 + + 10.21105/joss + https://joss.theoj.org + + + + + 08 + 2023 + + + 8 + + 88 + + + + ms3: A parser for MuseScore files, serving as data +factory for annotated music corpora + + + + Johannes + Hentschel + https://orcid.org/0000-0002-1986-9545 + + + Martin + Rohrmeier + https://orcid.org/0000-0002-4323-7257 + + + + 08 + 14 + 2023 + + + 5195 + + + 10.21105/joss.05195 + + + http://creativecommons.org/licenses/by/4.0/ + http://creativecommons.org/licenses/by/4.0/ + http://creativecommons.org/licenses/by/4.0/ + + + + Software archive + 10.5281/zenodo.8154984 + + + GitHub review issue + https://github.com/openjournals/joss-reviews/issues/5195 + + + + 10.21105/joss.05195 + https://joss.theoj.org/papers/10.21105/joss.05195 + + + https://joss.theoj.org/papers/10.21105/joss.05195.pdf + + + + + + Partitura: A python package for symbolic +music processing + Cancino-Chacón + Proceedings of the music encoding conference +(MEC2022) + 2022 + Cancino-Chacón, C. E., Peter, S. D., +Karystinaios, E., Foscarin, F., Grachten, M., & Widmer, G. (2022). +Partitura: A python package for symbolic music processing. Proceedings +of the Music Encoding Conference (MEC2022). + + + Music21: A Toolkit for Computer-Aided +Musicology and Symbolic Music Data + Cuthbert + Proceedings of the 11th International Society +for Music Information Retrieval Conference, ISMIR + 978-90-393-5381-3 + 2010 + Cuthbert, M. S. (2010). Music21: A +Toolkit for Computer-Aided Musicology and Symbolic Music Data. +Proceedings of the 11th International Society for Music Information +Retrieval Conference, ISMIR, 637–642. +ISBN: 978-90-393-5381-3 + + + The Annotated Mozart Sonatas: Score, Harmony, +and Cadence + Hentschel + Transactions of the International Society for +Music Information Retrieval + 1 + 4 + 10.5334/tismir.63 + 2021 + Hentschel, J., Neuwirth, M., & +Rohrmeier, M. (2021). The Annotated Mozart Sonatas: Score, Harmony, and +Cadence. Transactions of the International Society for Music Information +Retrieval, 4(1), 67–80. +https://doi.org/10.5334/tismir.63 + + + A semi-automated workflow paradigm for the +distributed creation and curation of expert annotations + Hentschel + Proceedings of the 22nd International Society +for Music Information Retrieval Conference, ISMIR + 10.5281/ZENODO.5624417 + 2021 + Hentschel, J., Moss, F. C., Neuwirth, +M., & Rohrmeier, M. A. (2021). A semi-automated workflow paradigm +for the distributed creation and curation of expert annotations. +Proceedings of the 22nd International Society for Music Information +Retrieval Conference, ISMIR, 262–269. +https://doi.org/10.5281/ZENODO.5624417 + + + Introducing DiMCAT for processing and +analyzing notated music on a very large scale + Hentschel + Proceedings of the 24th International Society +for Music Information Retrieval Conference, ISMIR + Hentschel, J., McLeod, A., Rammos, +Y., & Rohrmeier, M. (in press). Introducing DiMCAT for processing +and analyzing notated music on a very large scale. Proceedings of the +24th International Society for Music Information Retrieval Conference, +ISMIR. + + + An annotated corpus of tonal piano music from +the long 19th century + Hentschel + Empirical Musicology Review + Hentschel, J., Rammos, Y., Neuwirth, +M., Moss, F. C., & Rohrmeier, M. (in press). An annotated corpus of +tonal piano music from the long 19th century. Empirical Musicology +Review. + + + On the Growing Role of Observation, +Formalization and Experimental Method in Musicology + Honing + Empirical Musicology Review + 1 + 1 + 10.18061/1811/21901 + 2006 + Honing, H. (2006). On the Growing +Role of Observation, Formalization and Experimental Method in +Musicology. Empirical Musicology Review, 1(1), 2–6. +https://doi.org/10.18061/1811/21901 + + + The New Empiricism: Systematic Musicology in +a Postmodern Age + Huron + 1999 + Huron, D. (1999). 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Pasts and Futures +of Digital Humanities in Musicology: Moving Towards a “Bigger Tent.” +Music Reference Services Quarterly, 20(3-4), 134–150. +https://doi.org/10.1080/10588167.2017.1404301 + + + Mathematical and computational approaches to +music: Challenges in an interdisciplinary enterprise + Volk + Journal of Mathematics and +Music + 2 + 6 + 10.1080/17459737.2012.704154 + 1745-9737 + 2012 + Volk, A., & Honingh, A. (2012). +Mathematical and computational approaches to music: Challenges in an +interdisciplinary enterprise. Journal of Mathematics and Music, 6(2), +73–81. +https://doi.org/10.1080/17459737.2012.704154 + + + Music, mind and mathematics: Theory, reality +and formality + Wiggins + Journal of Mathematics and +Music + 2 + 6 + 10.1080/17459737.2012.694710 + 1745-9737 + 2012 + Wiggins, G. A. (2012). Music, mind +and mathematics: Theory, reality and formality. Journal of Mathematics +and Music, 6(2), 111–123. +https://doi.org/10.1080/17459737.2012.694710 + + + + + + From 969b720fd5d06e5d17461ed856532dc6e6e0cd59 Mon Sep 17 00:00:00 2001 From: The Open Journals editorial robot <89919391+editorialbot@users.noreply.github.com> Date: Mon, 14 Aug 2023 17:42:17 +0100 Subject: [PATCH 3/3] Creating 10.21105.joss.05195.jats --- joss.05195/10.21105.joss.05195.jats | 506 ++++++++++++++++++++++++++++ 1 file changed, 506 insertions(+) create mode 100644 joss.05195/10.21105.joss.05195.jats diff --git a/joss.05195/10.21105.joss.05195.jats b/joss.05195/10.21105.joss.05195.jats new file mode 100644 index 0000000000..8734f6220e --- /dev/null +++ b/joss.05195/10.21105.joss.05195.jats @@ -0,0 +1,506 @@ + + +

+ + + + +Journal of Open Source Software +JOSS + +2475-9066 + +Open Journals + + + +5195 +10.21105/joss.05195 + +ms3: A parser for MuseScore files, serving as data +factory for annotated music corpora + + + +https://orcid.org/0000-0002-1986-9545 + +Hentschel +Johannes + + +* + + +https://orcid.org/0000-0002-4323-7257 + +Rohrmeier +Martin + + + + + +École Polytechnique Fédérale de Lausanne, +Switzerland + + + + +* E-mail: + + +17 +1 +2023 + +8 +88 +5195 + +Authors of papers retain copyright and release the +work under a Creative Commons Attribution 4.0 International License (CC +BY 4.0) +2022 +The article authors + +Authors of papers retain copyright and release the work under +a Creative Commons Attribution 4.0 International License (CC BY +4.0) + + + +python +music +scores +corpus +corpora +data +musescore +tab-separated values + + + + + + Summary +

Digital Musicology is a vibrant and quickly growing discipline that + addresses traditional and novel music-related research questions with + digital and computational means + (Honing, + 2006; + Huron, + 1999; + Urberg, + 2017). Research questions and methods often overlap with or + draw on those from diverse disciplines such as music theory and + analysis, composition history, mathematics, cognitive psychology, + linguistics, anthropology, or computer science + (Volk + & Honingh, 2012; + Wiggins, + 2012). Corpus research, i.e., the computational study of + representative collections of texts (in the case of linguistics) or + notated music (in musicology), plays a prominent role in this + trans-disciplinary quest to “make sense of music” through scientific + models + (London, + 2013; + Moss, + 2019; + Shanahan, + 2022). ms3 makes scores (symbolic + representations of music) operational for computational approaches by + representing their contents as sets of tabular files.

+
+ + Statement of need +

Music scores represent relations between sounding events by + graphical means. Music notation software therefore is often concerned + with problems of layout and easy-to-read rendering of symbols in line + with the multitude of notational conventions + (Read, + 1979; + Ross, + 2001); rather than with the explicit encoding of the musical + relations themselves. For example, the Free and Open Source Software + MuseScore + provides a full-featured yet intuitive interface for engraving music, + but its native XML format does not explicitly encode the temporal + positions of events such as notes and rests. Hence the need for a + parser that extracts the implicit information and stores it in an + interoperable format.

+

Despite being one of the most widespread score encoding formats, + current score parsers (e.g., + Cancino-Chacón + et al., 2022; + Cuthbert, + 2010; + Pugin + et al., 2014), do not handle it without first performing a + lossy conversion to the musicXML + format1. The Python library + ms3 fills this gap. It loads the XML tree of a + MuseScore file into working memory, computes the temporal positions of + all encoded elements, and transforms those requested by the user into + DataFrames + (Petersohn, + 2021). The DataFrames can be used by other Python programs and + scripts, or written to Tab-Separated Values (TSV) to enable processing + with other software and facilitate version + control2. The most typical + aspects that users extract from a score are tables containing notes, + measures (bars), metadata, and text labels, in particular those + representing analytical annotations. Moreover, + ms3 allows the user to transform scores by + removing analytical labels after their extraction or by (re-)inserting + annotations from TSV files (whether previously extracted or generated + from scratch). This functionality turns MuseScore into a convenient + score annotation tool enabling users to graphically insert into a + score arbitrary textual labels, to then have + ms3 extract them with their temporal positions + for further analysis. It comes with a command line interface that + makes its data extraction, transformation, and validation + functionalities accessible for productive everyday workflows.

+

ms3 has already been used for creating + several datasets, namely version 2 of the Annotated Beethoven Corpus + (Neuwirth + et al., 2018), the Annotated Mozart Sonatas + (Hentschel, + Neuwirth, et al., 2021), and an annotated corpus of 19th + century piano music + (Hentschel, + Rammos, et al., in press). It has been successful in formatting + training and validation data for a chord inference algorithm and for + inserting its analytical outputs into the respective scores + (Mcleod + & Rohrmeier, 2021). Moreover, the library is at the heart + of a semi-automated annotation workflow running on GitHub + (Hentschel, + Moss, et al., 2021) and a dependency on the music corpus + analysis library DiMCAT + (Hentschel, + McLeod, et al., in press).

+
+ + Acknowledgements +

Development of this software tool was supported by the Swiss + National Science Foundation within the project “Distant Listening – + The Development of Harmony over Three Centuries (1700–2000)” (Grant + no. 182811). This project is being conducted at the Latour Chair in + Digital and Cognitive Musicology, generously funded by Mr Claude + Latour.

+
+ + + + + + + Cancino-ChacónCarlos Eduardo + PeterSilvan David + KarystinaiosEmmanouil + FoscarinFrancesco + GrachtenMaarten + WidmerGerhard + + Partitura: A python package for symbolic music processing + Proceedings of the music encoding conference (MEC2022) + Halifax, Canada + 2022 + + + + + + CuthbertMichael Scott + + Music21: A Toolkit for Computer-Aided Musicology and Symbolic Music Data + Proceedings of the 11th International Society for Music Information Retrieval Conference, ISMIR + International Society for Music Information Retrieval + Utrecht, Netherlands + 2010 + 978-90-393-5381-3 + 637 + 642 + + + + + + HentschelJohannes + NeuwirthMarkus + RohrmeierMartin + + The Annotated Mozart Sonatas: Score, Harmony, and Cadence + Transactions of the International Society for Music Information Retrieval + 2021 + 4 + 1 + 10.5334/tismir.63 + 67 + 80 + + + + + + HentschelJohannes + MossFabian C. + NeuwirthMarkus + RohrmeierMartin A + + A semi-automated workflow paradigm for the distributed creation and curation of expert annotations + Proceedings of the 22nd International Society for Music Information Retrieval Conference, ISMIR + Zenodo + Online + 202111 + 10.5281/ZENODO.5624417 + 262 + 269 + + + + + + HentschelJohannes + McLeodAndrew + RammosYannis + RohrmeierMartin + + Introducing DiMCAT for processing and analyzing notated music on a very large scale + Proceedings of the 24th International Society for Music Information Retrieval Conference, ISMIR + + + + + + HentschelJohannes + RammosYannis + NeuwirthMarkus + MossFabian Claude + RohrmeierMartin + + An annotated corpus of tonal piano music from the long 19th century + Empirical Musicology Review + + + + + + HoningHenkjan + + On the Growing Role of Observation, Formalization and Experimental Method in Musicology + Empirical Musicology Review + 2006 + 1 + 1 + 10.18061/1811/21901 + 2 + 6 + + + + + + HuronDavid + + The New Empiricism: Systematic Musicology in a Postmodern Age + The 1999 Ernest Bloch Lecture + University of California, Berkely + 1999 + + + + + + LondonJustin + + Building a Representative Corpus of Classical Music + Music Perception + 201309 + 31 + 1 + 10.1525/mp.2013.31.1.68 + 68 + 90 + + + + + + McleodAndrew + RohrmeierMartin A. + + A modular system for the harmonic analysis of musical scores using a large vocabulary + Proceedings of the 22nd International Society for Music Information Retrieval Conference, ISMIR + ISMIR + Online + 202111 + 20230421 + 10.5281/zenodo.5624433 + 435 + 442 + + + + + + MossFabian Claude + + Transitions of Tonality: A Model-Based Corpus Study + École Polytechnique Fédérale de Lausanne + Lausanne, Switzerland + 2019 + 10.5075/epfl-thesis-9808 + + + + + + NeuwirthMarkus + HarasimDaniel + MossFabian C. + RohrmeierMartin + + The Annotated Beethoven Corpus (ABC): A Dataset of Harmonic Analyses of All Beethoven String Quartets + Frontiers in Digital Humanities + Frontiers + 2018 + 5 + July + 2297-2668 + 10.3389/fdigh.2018.00016 + 1 + 5 + + + + + + PetersohnDevin + + Dataframe Systems: Theory, Architecture, and Implementation + University of California + Berkeley + 2021 + + + + + + PuginLaurent + ZitelliniRodolfo + RolandPerry + + Verovio: A Library for Engraving MEI Music Notation into SVG + Proceedings of the 15th International Society for Music Information Retrieval Conference, ISMIR + Taipei + 2014 + 20230318 + 107 + 112 + + + + + + ReadGardner + + Music notation: A manual of modern practice + Taplinger Pub. Co + New York + 1979 + 2d ed + 978-0-8008-5453-9 + + + + + + RossTed + + The art of music engraving & processing + npc Imaging + Santa Rosa, Calif. + 2001 + 978-0-9706231-1-9 + + + + + + ShanahanDaniel + + What the history of computational musicology can tell us about the future of corpus studies + Future Directions of Music Cognition Virtual Speaker Series + Open Science Framework + 202208 + 10.17605/OSF.IO/CB26R + + + + + + UrbergMichelle + + Pasts and Futures of Digital Humanities in Musicology: Moving Towards a “Bigger Tent” + Music Reference Services Quarterly + 201710 + 20 + 3-4 + 1058-8167 + 10.1080/10588167.2017.1404301 + 134 + 150 + + + + + + VolkAnja + HoninghAline + + Mathematical and computational approaches to music: Challenges in an interdisciplinary enterprise + Journal of Mathematics and Music + 201207 + 6 + 2 + 1745-9737 + 10.1080/17459737.2012.704154 + 73 + 81 + + + + + + WigginsGeraint A. + + Music, mind and mathematics: Theory, reality and formality + Journal of Mathematics and Music + 201207 + 6 + 2 + 1745-9737 + 10.1080/17459737.2012.694710 + 111 + 123 + + + + + +

For example, musicXML’s implicit encoding of + temporal positions is limited to those where a note or rest event + occurs. When converting MuseScore XML to musicXML, all score + elements occurring between two such events are misplaced.

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Version control is facilitated by the TSV files + because, unlike the original XML source, they present score + information with timestamps.

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