Exploring the musicalization of texts in gregorian chant using data analytics
Autor
Miguel Angel, Hernández Benavides
Institución
Resumen
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.