Christoph Boehm

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In this paper, we present an approach, called FREQDIST, for speaker segmentation based on a distance measurement applied in the frequency domain. To enhance the detection performance, the spectrum is reweighted using normalization techniques. Additionally, noise-like (i.e. flat) spectra are removed based on the entropy. Experiments using the TIMIT database(More)
BACKGROUND A number of pathogens can cause severe destruction of the periodontal apparatus during the course of periodontitis. The aim of this work was the development of a diagnostic device for the use at the point-of-need for the detection of periodontal pathogens to enable a personalized therapy for treatment of periodontitis. METHODS This test system(More)
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