Abstrakt
Music data mining is opening up new pathways in the structure analysis of music. Although it is currently used instead for music metadata archiving and processing, using data mining tools for musicological purposes could be very helpful in melodic, harmonic, and rhythmic analysis, and it could also be used for quantitative analysis of large volumes of musical materials.
I would like to present some results of my project focused on data mining analysis of John Dowland's "Second Book of Songs". The main goal of this research is to find the best solution for analyzing sheet music and to change static musical material into an interactive resource ready for musicologists, composers, and performers.
They would be able to ask questions freely about detailed information within a large quantity of musical materials and to receive non-trivial responses. In my presentation, I also want to demonstrate some possibilities for visualizations of received data.
In the proposed project, MusicXML format (modified XML format is used in comparative linguistics) and the R programming language are used for music data analysis.