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Full-Text Articles in Physical Sciences and Mathematics
Computational Approaches To Facilitate Automated Interchange Between Music And Art, Rao Hamza Ali
Computational Approaches To Facilitate Automated Interchange Between Music And Art, Rao Hamza Ali
Computational and Data Sciences (PhD) Dissertations
Recently, there has been a tremendous increase in generating and synthesizing music and art using various computational techniques. An area that is still under-researched, however, is how one medium can be converted into the other, while maintaining the overall aesthetics. Over the last few centuries, artists, composers, and scholars, have attempted to use substitute one form of art for the other: by proposing techniques where music notes are synonymous to colors, by inventing instruments that combine the aesthetics of music and visual art, and by incorporating the two media in live performances. A widely accepted computational approach, for the conversion, …
Exploring Music Genres: A Study Of Optimal Differentiation By Feature, Rebecca Stetler
Exploring Music Genres: A Study Of Optimal Differentiation By Feature, Rebecca Stetler
Honors Projects
This study explores the presence of optimal differentiation in music at the feature level by genre. Popularity prediction models are constructed and used to identify influential features in predicting popularity in each genre. These influential features are then assessed for optimal differentiation of the most popular songs from all songs in the genre.