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they struggle to process speech affected by medical conditions such as dysarthria, aphasia, or dysphonia. This research will develop multimodal models that can recognize unusual acoustic patterns and
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, leading to different models being used. However, in recent years model topologies for automatic speech recognition and many other speech processing tasks have started to converge - driven by research focus
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are important, leading to different models being used. However, in recent years model topologies for automatic speech recognition and many other speech processing tasks have started to converge - driven by
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SD-25045 – PHD IN HONG-OU-MANDEL INTERFERENCE AND ENTANGLEMENT WITH COLOUR CENTRES IN SILICON CAR...
aspects. Quantum colour centres in in wide bandgap semiconductors have recently emerged as a promising platform, since they can incorporate quantum systems, which can be scaled up by industrial processing
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. Particular emphasis is placed on issues in the field of tribology. Project description The goal of the research project is to understand what happens inside a material during a wear process through so-called
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Fraunhofer ISI in Karlsruhe is a globally recognized center of excellence in innovation research. The different focuses of our seven Competence Centers enable us to address key issues of innovation
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the field of tribology. Project description The goal of the research project is to understand what happens inside a material during a wear process through so-called in-operando measurements. A unique test
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that focus primarily on higher-level cognition, the project investigates how individual differences in executive functions, speech–motor synchrony, and intrinsic reward responses to speech jointly shape early
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of algorithms, data structures, high-performance computing, machine learning and microbiology. The position at the Department of Molecular Biology at Umeå University is temporary for four years to start
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-facilitator for live GMB workshops. The AI processes real-time discussion via speech-to-text, suggests causal links, proposes feedback loops, and visualises draft CLDs — while keeping interpretive authority