Exploring the musicalization of texts in gregorian chant using data analytics
Applying an algorithm for local sequence alignment in the DNA to 1,273 chants organized in pairs, a similarity percent of its texts and melodies was obtained. This generated 68,810,000 records. Using Descriptive Analytics, we conclude: in punctuation marks the sound duration is lengthened, stop word...
- Autores:
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2020
- Institución:
- Universidad de Bogotá Jorge Tadeo Lozano
- Repositorio:
- Expeditio: repositorio UTadeo
- Idioma:
- eng
- OAI Identifier:
- oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/13671
- Acceso en línea:
- http://hdl.handle.net/20.500.12010/13671
http://expeditio.utadeo.edu.co
- Palabra clave:
- Data Analytics
Gregorian Chant
Musicalization of texts
Centonization
Text and melody similarity
Minería de datos
Análisis de sistemas
Preservación digital
- Rights
- License
- Abierto (Texto Completo)
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Exploring the musicalization of texts in gregorian chant using data analytics |
| title |
Exploring the musicalization of texts in gregorian chant using data analytics |
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Exploring the musicalization of texts in gregorian chant using data analytics Data Analytics Gregorian Chant Musicalization of texts Centonization Text and melody similarity Minería de datos Análisis de sistemas Preservación digital |
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Exploring the musicalization of texts in gregorian chant using data analytics |
| title_full |
Exploring the musicalization of texts in gregorian chant using data analytics |
| title_fullStr |
Exploring the musicalization of texts in gregorian chant using data analytics |
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Exploring the musicalization of texts in gregorian chant using data analytics |
| title_sort |
Exploring the musicalization of texts in gregorian chant using data analytics |
| dc.contributor.advisor.none.fl_str_mv |
Galpin, I. |
| dc.subject.spa.fl_str_mv |
Data Analytics Gregorian Chant Musicalization of texts Centonization Text and melody similarity |
| topic |
Data Analytics Gregorian Chant Musicalization of texts Centonization Text and melody similarity Minería de datos Análisis de sistemas Preservación digital |
| dc.subject.lemb.spa.fl_str_mv |
Minería de datos Análisis de sistemas Preservación digital |
| description |
Applying an algorithm for local sequence alignment in the DNA to 1,273 chants organized in pairs, a similarity percent of its texts and melodies was obtained. This generated 68,810,000 records. Using Descriptive Analytics, we conclude: in punctuation marks the sound duration is lengthened, stop words are musicalized using few pitches, semantic of text do not determine always how to musicalize it, the centonization process was influenced by the chant type and ethos (mode) reusing mostly phrases. These conclusions help to perform and musicalize latin texts for the Proper of the Mass. Finally, a future work in digital humanities is proposed. |
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2020-09-23T14:06:17Z |
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2020 |
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http://hdl.handle.net/20.500.12010/13671 |
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http://expeditio.utadeo.edu.co |
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eng |
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eng |
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Altstatt, A. (2014). Reviews: Cantus planus regensburg, corpus antiphonalium officii-ecclesiae centralis europae, cantus: A database for latin ecclesiastical chant, global chant database, and the cantus index. Journal of the American Musicological Society, 67 (1), 267–285. Asensio, J. C. (2017). El canto gregoriano: historia, liturgia, formas. Alianza Editorial. Avedillo, M. (1983). Fabriciano: Canto gregoriano. estudio te´orico y pr´actico. Zamora: Fama [1983] Barton, L. W., Caldwell, J. A., & Jeavons, P. G. (2005). E-library of medieval chant manuscript transcriptions. In Proceedings of the 5th acm/ieee-cs joint conference on digital libraries (pp. 320–329). Beijering, K., Gooskens, C., & Heeringa, W. (2008). Predicting intelligibility and perceived linguistic distance by means of the levenshtein algorithm. Linguistics in the Netherlands, 25 (1), 13–24. Berry, D. M. (2012). Introduction: Understanding the digital humanities. In Understanding digital humanities (pp. 1–20). Springer Bezuidenhout, M., & Brand, M. (2004). The “cantus index gui”: A visual interface for the creation of electronic plainchant resources. Studia Musicologica Academiae Scientiarum Hungaricae, 45 (1-2), 3–16. Cal`ı, A., Wood, P., Martin, N., & Poulovassilis, A. (2017). Data analytics: 31st british international conference on databases, bicod 2017, london, uk, july 10–12, 2017, proceedings (Vol. 10365). Springer. Chen, M. Y. (1983). Toward a grammar of singing: tune-text association in gregorian chant. Music Perception: An Interdisciplinary Journal, 1 (1), 84–122. Combe, D. P. (2008). The restoration of gregorian chant: Solesmes and the vatican edition. CUA Press. Dydo, S. (1983). Surface relations between music and language as compositional aids. Journal of New Music Research, 12 (4), 541–556. Einstein, A. (1954). The conflict of word and tone. The Musical Quarterly, 40 (3), 329–349. Fujinaga, I., Hankinson, A., & Cumming, J. E. (2014). Introduction to simssa (single interface for music score searching and analysis). In Proceedings of the 1st international workshop on digital libraries for musicology (pp. 1–3). Hankinson, A., Burgoyne, J. A., Vigliensoni, G., Porter, A., Thompson, J., Liu, W., . . . Fujinaga, I. (2012). Digital document image retrieval using optical music recognition. In Ismir (pp. 577–582). Hankinson, A., Roland, P., & Fujinaga, I. (2011). The music encoding initiative as a documentencoding framework. In Ismir (pp. 293–298). Helsen, K., Behrendt, I., & Bain, J. (2017). A morphology of medieval notations in the optical neume recognition project. Arti musices: hrvatski muzikoloˇski zbornik , 48 (2), 241–266. Helsen, K., Daley, M., & Schindler, J. (2020). Quantifiying the melodic identifies of medieval modes. Hourlier, D. J. (1995). Reflections on the spirituality of gregorian chant. Paraclete Press. Hufflen, J.-M. (2019). Antichi sistemi di notazione musicale. ArsTEXnica, 42. Hughes, D. G. (1987). Evidence for the traditional view of the transmission of gregorian chant. Journal of the American Musicological Society, 40 (3), 377–404 Jiang, X., Liu, X., Xu, L., Zhang, P., & Sun, N. (2007). A reconfigurable accelerator for smith–waterman algorithm. IEEE Transactions on Circuits and Systems II: Express Briefs , 54 (12), 1077–1081. |
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Galpin, I.Miguel Angel, Hernández BenavidesMagíster en Ingeniería y Analítica de DatosColombia2020-09-23T14:06:17Z2020-09-23T14:06:17Z2020http://hdl.handle.net/20.500.12010/13671http://expeditio.utadeo.edu.coApplying an algorithm for local sequence alignment in the DNA to 1,273 chants organized in pairs, a similarity percent of its texts and melodies was obtained. This generated 68,810,000 records. Using Descriptive Analytics, we conclude: in punctuation marks the sound duration is lengthened, stop words are musicalized using few pitches, semantic of text do not determine always how to musicalize it, the centonization process was influenced by the chant type and ethos (mode) reusing mostly phrases. These conclusions help to perform and musicalize latin texts for the Proper of the Mass. Finally, a future work in digital humanities is proposed.20 páginasapplication/pdfengUniversidad de Bogotá Jorge Tadeo LozanoMaestría en Ingeniería y Analítica de Datosinstname:Universidad de Bogotá Jorge Tadeo Lozanoreponame:Expeditio Repositorio Institucional UJTLData AnalyticsGregorian ChantMusicalization of textsCentonizationText and melody similarityMinería de datosAnálisis de sistemasPreservación digitalExploring the musicalization of texts in gregorian chant using data analyticsTrabajo de grado de maestríainfo:eu-repo/semantics/masterThesishttp://purl.org/coar/resource_type/c_2df8fbb1Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2Altstatt, A. (2014). Reviews: Cantus planus regensburg, corpus antiphonalium officii-ecclesiae centralis europae, cantus: A database for latin ecclesiastical chant, global chant database, and the cantus index. Journal of the American Musicological Society, 67 (1), 267–285.Asensio, J. C. (2017). El canto gregoriano: historia, liturgia, formas. Alianza Editorial.Avedillo, M. (1983). Fabriciano: Canto gregoriano. estudio te´orico y pr´actico. Zamora: Fama [1983]Barton, L. W., Caldwell, J. A., & Jeavons, P. G. (2005). E-library of medieval chant manuscript transcriptions. In Proceedings of the 5th acm/ieee-cs joint conference on digital libraries (pp. 320–329).Beijering, K., Gooskens, C., & Heeringa, W. (2008). Predicting intelligibility and perceived linguistic distance by means of the levenshtein algorithm. Linguistics in the Netherlands, 25 (1), 13–24.Berry, D. M. (2012). Introduction: Understanding the digital humanities. In Understanding digital humanities (pp. 1–20). SpringerBezuidenhout, M., & Brand, M. (2004). The “cantus index gui”: A visual interface for the creation of electronic plainchant resources. Studia Musicologica Academiae Scientiarum Hungaricae, 45 (1-2), 3–16.Cal`ı, A., Wood, P., Martin, N., & Poulovassilis, A. (2017). Data analytics: 31st british international conference on databases, bicod 2017, london, uk, july 10–12, 2017, proceedings (Vol. 10365). Springer.Chen, M. Y. (1983). Toward a grammar of singing: tune-text association in gregorian chant. Music Perception: An Interdisciplinary Journal, 1 (1), 84–122.Combe, D. P. (2008). The restoration of gregorian chant: Solesmes and the vatican edition. CUA Press.Dydo, S. (1983). Surface relations between music and language as compositional aids. Journal of New Music Research, 12 (4), 541–556.Einstein, A. (1954). The conflict of word and tone. The Musical Quarterly, 40 (3), 329–349.Fujinaga, I., Hankinson, A., & Cumming, J. E. (2014). Introduction to simssa (single interface for music score searching and analysis). In Proceedings of the 1st international workshop on digital libraries for musicology (pp. 1–3).Hankinson, A., Burgoyne, J. A., Vigliensoni, G., Porter, A., Thompson, J., Liu, W., . . . Fujinaga, I. (2012). Digital document image retrieval using optical music recognition. In Ismir (pp. 577–582).Hankinson, A., Roland, P., & Fujinaga, I. (2011). The music encoding initiative as a documentencoding framework. In Ismir (pp. 293–298).Helsen, K., Behrendt, I., & Bain, J. (2017). A morphology of medieval notations in the optical neume recognition project. Arti musices: hrvatski muzikoloˇski zbornik , 48 (2), 241–266.Helsen, K., Daley, M., & Schindler, J. (2020). Quantifiying the melodic identifies of medieval modes.Hourlier, D. J. (1995). Reflections on the spirituality of gregorian chant. Paraclete Press.Hufflen, J.-M. (2019). Antichi sistemi di notazione musicale. ArsTEXnica, 42.Hughes, D. G. (1987). Evidence for the traditional view of the transmission of gregorian chant. Journal of the American Musicological Society, 40 (3), 377–404Jiang, X., Liu, X., Xu, L., Zhang, P., & Sun, N. (2007). A reconfigurable accelerator for smith–waterman algorithm. IEEE Transactions on Circuits and Systems II: Express Briefs , 54 (12), 1077–1081.LICENSElicense.txtlicense.txttext/plain; charset=utf-82938https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/13671/2/license.txtabceeb1c943c50d3343516f9dbfc110fMD52open accessLicencia de autorización.pdfLicencia de autorización.pdfLicencia de autorizaciónapplication/pdf425478https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/13671/3/Licencia%20de%20autorizaci%c3%b3n.pdf8d0a6f0fd174143288999e9b826fce30MD53open accessAUTORIZACION_DE_PUBLICACION_DE_TESIS_O_TRABAJO_DE_GRADO_DE_FORMA_CONFIDENCIAL.pdfAUTORIZACION_DE_PUBLICACION_DE_TESIS_O_TRABAJO_DE_GRADO_DE_FORMA_CONFIDENCIAL.pdfapplication/pdf212230https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/13671/6/AUTORIZACION_DE_PUBLICACION_DE_TESIS_O_TRABAJO_DE_GRADO_DE_FORMA_CONFIDENCIAL.pdf70bafbcbb2b76a5f943e791493720f6aMD56open accessTHUMBNAILTrabajo de grado.pdf.jpgTrabajo de grado.pdf.jpgIM Thumbnailimage/jpeg8667https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/13671/4/Trabajo%20de%20grado.pdf.jpg4a35351bd71aacf92f5b8ed973bc14e5MD54open accessTrabajo de grado Miguel Angel Hernandez.pdf.jpgTrabajo de grado Miguel Angel Hernandez.pdf.jpgIM Thumbnailimage/jpeg8667https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/13671/7/Trabajo%20de%20grado%20Miguel%20Angel%20Hernandez.pdf.jpg4a35351bd71aacf92f5b8ed973bc14e5MD57open accessORIGINALTrabajo de grado Miguel Angel Hernandez.pdfTrabajo de grado Miguel Angel Hernandez.pdfDocumento reservado / Confidential documentapplication/pdf1111577https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/13671/8/Trabajo%20de%20grado%20Miguel%20Angel%20Hernandez.pdf2cde1d6f3dd1a58cae0e262d81863a90MD58embargoed access|||2026-04-2920.500.12010/13671oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/136712024-04-29 07:46:28.53embargoed access|||2026-04-29Repositorio Institucional - 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