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DTSTART;TZID=Europe/Berlin:20240112T110000
DTEND;TZID=Europe/Berlin:20240112T113000
DTSTAMP:20260427T042231
CREATED:20240108T141359Z
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UID:2917-1705057200-1705059000@blog.rwth-aachen.de
SUMMARY:Liu: Enhancing Tonality Prediction Using Neural Network
DESCRIPTION:This presentation is about my industrial internship tasks at HEAD acoustics GmbH in the Sound Vibration Perception (SVP) department\, with a focus on the development and utilization of a neural network for tonality prediction. During my internship\, the neural network\, designed to accelerate tonality calculations\, achieved a nearly twofold increase in speed compared to the original method. In this presentation\, the steps\, from database generation to neural network training and validation\, will be explained in detail. The predicted results from the neural network and its possible further development will also be shown. While the neural network has fulfilled our goal of precision for the prediction of tonality\, further enhancement can still be explored in the future. \nMelden Sie sich hier an um Einladungen zu den Kolloquium-Vorträgen per E-Mail zu erhalten.\nRegister here to receive the invitations to colloquium talks via e-mail. \nZoom-Meeting-ID: 954 4073 3814\nPasswort: 450783
URL:https://blog.rwth-aachen.de/akustik/event/liu-enhancing-tonality-prediction-using-neural-network/
LOCATION:IHTA Seminarraum (60 Persons) and Zoom-Meeting (Hybrid)\, Kopernikusstr. 5\, Aachen\, 52074\, Deutschland
CATEGORIES:Vortrag Praxissemester
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