Generic modeling of music for computational education and recognition of song variations

Abstract

For purposes of identification and education todays music modeling is rather limited. Systems that can identify music in a generic way are either very restricted or do not exist at all. Therefore, it is not possible to associate the countless potential occurrences of a certain song with at least one generic description. Analogously, there is no computational approach to evaluate the performance of a music student who has been asked to play a certain song and to accompany it in a certain style. We introduce a generic model for music representation. To test our model, we have developed a prototype that correlates symbolic music performances to the proposed representation.