EMS Proceedings and Other Publications
Towards Automated Annotation of Acousmatic Music
Volkmar Klien, Thomas Grill, Arthur Flexer
Volkmar Klien, Austrian Research Institute for Artificial Intelligence and University for Music and Performing Arts Vienna, Vienna, Austria
Contact 1st author: klien@mdw.ac.at
Thomas Grill, Austrian Research Institute for Artificial Intelligence and University for Music and Performing Arts Vienna, Vienna, Austria
Arthur Flexer, University for Music and Performing Arts Vienna, Vienna, Austria
Article
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Abstract
At the Austrian Research Institute for Artificial Intelligence (OFAI) we are currently undertaking a two year research project entitled ‘Towards Automatic Annotation of Electroacoustic Music’ investigating the possibilities and potential obstacles for finding (partial) solutions to problems related to computer assisted annotation of electroacoustic music.
Setting aside technological issues pertaining to the relevant fields of signal processing and music information retrieval the paper at hand aims at outlining the reasons behind our choice of Smalley’s theory of spectromorphology (SM) as our conceptual background, issues pertaining to the role of the annotated score, the formalisation of spectromorphology for automation as well as potential limitations.
Given that neither the manual annotation of acousmatic music nor the technical implementation thereof can be seen as straight-forward matters, research in this area is still at a very basic level making fully automatic and even fully functional semi-automatic annotation of electroacoustic sound a long-term research goal.