Exploring Internet Radio Across the Globe with the MIRAGE Online Dashboard
Ngan V.T. Nguyen (University of Science, Vietnam Nation University Ho Chi Minh City), Elizabeth A.M. Acosta (Texas Tech University), Tommy Dang (Texas Tech University), David R.W. Sears (Texas Tech University)*
Keywords: Human-centered MIR -> music interfaces and services, Evaluation, datasets, and reproducibility -> novel datasets and use cases; Knowledge-driven approaches to MIR -> cognitive MIR; Knowledge-driven approaches to MIR -> computational ethnomusicology; Knowledge-driven approaches to MIR -> computational music theory and musicology; Philosophical and ethical discussions -> ethical issues related to designing and implementing MIR tools and technologies
This study presents the Music Informatics for Radio Across the GlobE (MIRAGE) online dashboard, which allows users to access, interact with, and export metadata (e.g., artist name, song title) and musicological features (e.g., instrument list, voice type, key/mode) for 1 million songs streaming on 10,000 internet radio stations across the globe. Users can search for stations or songs according to several criteria, display, analyze, and listen to the selected station/song lists using interactive visualizations that include embedded links to streaming services, and finally export relevant metadata and visualizations for further study.
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