1st Workshop on Learning the Semantics of Audio Signals (LSAS 2006), 1st International Conference on Semantics and Digital Media Technology (SAMT 2006)
Sprache des Tagungstitel:
Englisch
Original Kurzfassung:
In this paper, we present a technique to automatically create
music maps labeled with semantic descriptors, the so called Music Description
Maps (MDM). Based on a Self-organizing Map (SOM) trained
on audio features, we create term profiles that characterize the type of
music in the various clusters. To this end, we efficiently retrieve musicrelated
term descriptors for music artists from theWeb. These descriptors
are used in conjuction with a SOM-labeling strategy to identify words
and phrases commonly used in the context of the associated music. Additionally,
regions of similar clusters are uncovered. Music maps labeled
in such a manner can aid the user in retrieving desired music from a very
large repository, either by providing landmarks on the map or by allowing
the formulation of queries consisting of terms describing the musical
content.
Sprache der Kurzfassung:
Englisch
Vortragstyp:
Vortrag auf einer Tagung (referiert)
Vortragsdatum:
06.12.2006
Vortragsort:
Griechenland
Details zum Vortragsort:
1st Workshop on Learning the Semantics of Audio Signals (LSAS 2006), 1st Interna Athens
Forschungs-