Holger Grossmann

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For each supervised classification task some sort of ground truth data is needed in order to train the data models or classifiers and to evaluate the obtained result. Although there are a number of such data sets publically available for mainstream audio and music classification tasks, most often one will end up annotating new content by oneself when a(More)
With music markets shifting, the use of music in video productions has become increasingly important. Our novel research project “SyncGlobal“ addresses this global music licensing opportunity. Our goal is to find the best acoustic or semantic matches to any video sequence from large-scale intercultural music catalogs with minimal human effort.(More)
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