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We propose a machine learning based speaker segmentation and identification system that provides the physician with automated tools to segment, semantically index and retrieve specific segments from a large database of medical simulation video sessions. Instead of working directly in the original feature space, our approach maps low-level audio features to more meaningful histogram descriptors using...
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