• Semester

    4. Semester

Music transfers every possible emotion. This is not only shown by the history of music, but also by the way humans react to it. A song can be happy, sad, angry, tender and many more. Prior research has shown that the technical development nowadays is able to objectivize these emotions or moods and attach this newly gained information to a song. Still, the application for this new concept of “emotional tagging” is far from being finished. By now we can tell an algorithm to automatically create a playlist based on a certain mood. But is this really what the user is looking for? Would it not be a lot more adequate and practical to cluster music according to the current situation the listener is in?

The necessity for such a system is obvious. Digital libraries expand at an exponential rate and get increasingly hard to organize for the listener. This paper will examine ways to classify and sort music by the activity a user is currently performing. To achieve this it is necessary to objectivize a situation in order to generate an automated playlist, not only sorted by moods and the preferred genre but also by the context-of-use itself in order to create a whole new experience of listening.

How would you like participating in similar projects with real companies? Currently Macromedia University maintains a network of more than 500 cooperation partners. We will be happy to tell you more.

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Masterprogramm

MACROMEDIA GRADUATE SCHOOL

Discover the master programmes of the Macromedia University. Entry with 180 and 210 ECTS possible. Not consecutive.

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