Research and Innovation

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Aristo Music works closely with its research partners on projects concerned with innovative musicselection and distribution technologies. The projects make an important contribution to the further development of innovative digital music services.

 

Hyper-personalisation

In 2009, a study of how intelligent metadata (such as attention metadata, social metadata etc.) can be used to personalise the musical experience strongly on the internet, IDTV or mobile devices. The project is being led by Prof. Dr. Ir. Erik Duval of the Catholic University of Louvain and is being done in partnership with the University of Ghent, the University of Hasselt, Telenet, VRT, Medialab, Telindus, Devoteam, Philips and Alfacam.

Automatic assignment of metadata

In 2007, a project began on strongly increase the automation of assigning objective and subjective metadata to pieces of music. The project is a collaboration of the Hypermedia & Databases Group of the Catholic University of Louvain and the Digital Speech and Signal Processing Research Group(ELIS) of the University of Ghent. Project leaders are Prof. Dr. Ir. Erik Duval of Louvain and Prof. Dr. Ir. Jean-Pierre Martens of Ghent.

The influence of music

In 2006, a study was initiated to measure the influence of various musical parameters (such as genres, atmosphere, rhythms, instruments, voices, etc.) on human behaviour in specific situations. The aim was to determine which musical parameters in which proportion, should be present if one wanted to achieve a specific effect with a choice of music. The project was executed in collaboration with the Experimental Psychology Group of the Catholic University of Louvain, with Prof. Dr. Géry d'Ydewalle in charge.

Context- oriented presentation of digital music based on subjective information

In 2004, a start was made on developing the concept of 'context-oriented provision of digital music based on subjective information'. Based on the subjective properties of music, such as atmosphere, volume, danceability, a suitable playlist can be generated for a specific situation (context). The project was executed in collaboration with the Hypermedia & Databases Group and led by Prof. Dr. Ir. Erik Duval of the Catholic University of Louvain.