Towards Structural (Popular) Music Information Research
Abstract
Within the field of computational music analysis, Music In- formation Research (MIR) has developed a panoply of approaches aiming at retrieving the musical content from large corpora ranging from classical to popular music. A first major distinction within the MIR community concerns signal-based versus symbolic approaches, the two having developed in the last decades in an almost orthogonal way. In contrast to currently employed signal-based approaches in Music Information Research, we stress the necessity of introducing a structural multidisciplinary approach into computational musicology making use of advanced mathematics such as algebraic invariants and simplicial complexes to represent musical spaces (Bigo & Andreatta, 2015). These theoretical concepts are systematically accompanied by computational modelling making use of spatial computing, a non-conventional paradigm in computer science aiming to reformulate in spatial terms the data structures and their formal manipulations,
applied to the popular music repertoire.
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