Lehn-Schiøler, Tue1; Petersen, Kaare Brandt3; Hansen, Lars Kai4
1 Department of Informatics and Mathematical Modeling, Technical University of Denmark2 Cognitive Systems, Department of Informatics and Mathematical Modeling, Technical University of Denmark3 unknown4 Copenhagen Center for Health Technology, Center, Technical University of Denmark
In this report we present a music data harvesting system based on a plug-in for a popular music player. When a user is playing a song using the plug-in, information about the song is anonymously submitted to a server. The data gathered using MIRANDA is intended to be released to the MIR community. We argue that even though content-based data is of interest to the community, also meta data and usage data can be important for research in music similarity.