Christoph Bastuck

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Large-scale systems for automatic content-based music recommendation require efficient computation of signal descriptors that are robust and relevant with regard to human perception in order to process extensive music archives. In this publication, a set of mid-level audio features suitable for efficient characterization of musical signals with regard to(More)
The paper presents a uniform framework for scientific visualization, that comprises a variety of different filtering, mapping and rendering techniques. We offer architectural concepts that implement a novel approach to extensibility on different levels. We have developed an open and expandable model for intuitive user interaction, which can be adapted to(More)
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