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

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.