Code Monkey home page Code Monkey logo

digital-landscape-of-chant's Introduction

Digital Landscape of Medieval Chant

A collection of resources and tools for exploring medieval monophonic chants. No claim to completeness; feel free to expand!

Databases with pitch notation and search function

Digital Coropora

Optical Music Recognition

Transcription Editors

Python Libraries

Case Studies

Literature

Footnotes

  1. Lacoste, Debra, and Andrew Mitchell. "The cantus database: Progress report." Studia Musicologica Academiae Scientiarum Hungaricae 45.1-2 (2004): 119-130.

  2. Lacoste, Debra. "The cantus database: Mining for medieval chant traditions." Digital Medievalist 7 (2012).

  3. Helsen, Kate, and Debra Lacoste. "A report on the encoding of melodic incipits in the CANTUS database with the music font ‘Volpiano’." Plainsong & Medieval Music 20.1 (2011): 51-65.

  4. Lacoste, Debra. "The Cantus Database and Cantus Index Network." (2022).

  5. Shaw, Rebecca. "Differentiae in the cantus manuscript database: standardization and musicological application." Proceedings of the 5th International Conference on Digital Libraries for Musicology. 2018.

  6. Eipert, Tim, et al. "Editor support for digital editions of medieval monophonic music." Proceedings of the 2nd International Workshop on Reading Music Systems. 2019.

  7. Tim Eipert, Andreas Haug, Felix Herrmann, Frank Puppe, Konstantin Voigt und Christoph Wick: Editionsphilologische, informationstechnische und musiktheoretische Aspekte des digitalen Edierens einstimmiger Musik des Mittelalters am Beispiel des CORPUS MONODICUM. In: Musiktheorie. Zeitschrift für Musikwissenschaft. Heft 3/2019.

  8. Cornelissen, Bas, Willem Zuidema, and John Ashley Burgoyne. "Studying large plainchant corpora using chant21." 7th International Conference on Digital Libraries for Musicology. 2020. 2 3 4 5

  9. Angel, Miguel, and Hernández Benavides. "Exploring the musicalization of texts in gregorian chant using data analytics." (2020).

  10. Haas, Max. Mündliche Überlieferung und altrömischer Choral: historische und analytische computergestützte Untersuchungen. Peter Lang Gmbh, Internationaler Verlag Der Wissenschaften, 1997.

  11. Cornelissen, Bas, Willem H. Zuidema, and John Ashley Burgoyne. "Mode classification and natural units in plainchant." ISMIR. 2020. 2

  12. Wick, Christoph, and Frank Puppe. "OMMR4all-a semiautomatic online editor for medieval music notations." 2nd International workshop on reading music systems. 2019.

  13. Helsen, Kate, et al. "Optical music recognition and manuscript chant sources." Early Music 42.4 (2014): 555-558.

  14. Hornby, Emma, Rebecca Maloy, and Paul Rouse. "Chant editing and analysis program: a tool for analyzing liturgical chant." Journal of Medieval Iberian Studies 14.1 2022. (Link)

  15. Eipert, Tim, & Moss, Fabian C. "MonodiKit: A data model and toolkit for medieval monophonic chant." Proceedings of the 10th International Conference on Digital Libraries for Musicology (pp. 67-71). 2023, November. (Link

  16. Nakamura, Eita; Eipert, Tim; Moss, Fabian C. "Historical changes of modes and their substructure modeled as pitch distributions in plainchant from the 1100s to the 1500s." Proc. 16th International Symposium on Computer Music Multidisciplinary Research (CMMR), pp. 450-461, (November 2023.) (Link)

  17. Lanz, Vojtěch; Hajič, Jan. 2023. "Text boundaries do not provide a better segmentation of Gregorian antiphons." Proceedings of the 10th International Conference on Digital Libraries for Musicology (DLfM '23). Association for Computing Machinery, New York, NY, USA, 72–76. https://doi.org/10.1145/3625135.3625143 2023.

digital-landscape-of-chant's People

Contributors

timeipert avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.