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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...
To create a sufficient repository of test data for our model-based implementations of music information retrieval functions working on symbolic documents, we have used three different approaches to melodic segmentation on monophonic pieces with a broad range of genres from baroque/classical music to pop/rock. All three methods are driven by musical knowledge (in contrast to methods such as n-gram...
To date, there are no systems that can identify music, neither audio nor midi, in a generic way. That is, for the countless possible occurrences of a certain song, it should be possible to associate them with only one generic description of that song. In this paper we describe a conceptual design for generic music identification. Therefore, we propose a hierarchy of elementary music descriptions and...
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