Eurobest
FAMOUS BRUSSELS, Brussels / KLARA / 2016
Overview
Entries
Credits
Background
Classical music is the ancestor of almost all music we know today: RnB, hip hop, pop, rock, dance, trance, edm ... So it's a pity that many people have lost this connection to this rich, cultural heritage.
Klara, Belgium's classical radio station, wanted to introduce more people to classical music.
But the problem with classical music is: where should you start? Classical music is a generic term for music that exists for more than 10 centuries. A lot of people have no idea how to explore this inexhaustible treasury of the most diverse types of music. They don't know the huge range of classical music genres, performers, composers, ...
Description
This is not a classic radio commercial, but a content driven audio campaign on Spotify. At the core of this idea lies music curation, but in an extremely personalised way. We developed a tool that translates your personal music taste into classical music by anticipating what you will like. By focusing on what classical music has in common with their own favourite music, people felt more confident to set their first steps in the world of classical music. We used audio technology in a completely new way in order to connect listeners to classical music they might like. A team of musicologists and music curators worked for months mapping and categorising thousands of pieces of music to gather meaningful musical connections and surprising insights. The result is a web tool that feels as a music expert who sifts through your collection and bases their recommendations on the real you.
Execution
Please try it yourself on: http://klarafy.klara.be/en Just connect to your Spotify account and choose one of your playlists. Then our tool scans your playlist and translates your music taste into classical music. Klarafy searches affinities, similarities or connections based on 3 criteria: the prevailing music genre in your playlist, the overruling mood and specific topics (vocal types, instruments, specific songs, ...) The easy part was tracking your personal musical taste. Therefore, we scanned your Spotify playlist with existing open source technology. The tricky part was to build an engine that matches your music with corresponding classical music. As this wasn't a matter of beats per minutes or algorithms, we took the machine out of the recommendation and replaced it by the human touch. A team of musicologists and music curators worked for months mapping and categorising thousands of pieces of music to gather meaningful musical connections and surprising insights.
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