Peggy Sylopp
Founder and CTO
Sinceare UG
About Me
Peggy Sylopp is a computer scientist, founder, and AI Product Lead specializing in adaptive audio systems and human-centered AI. She founded the Fraunhofer spin-off Sinceare, where she explores how adaptive audio systems can learn user preferences from interaction data, combining DSP, machine learning, and human-centered product design.
Her work spans audio signal processing, machine learning, product discovery, and user-centered design, with a focus on translating complex research into real-world software systems. Peggy is particularly interested in how adaptive audio technologies can bridge the gap between perception, engineering, and intelligent system design
Sessions
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Machine Learning Was the Easy Part
Engineering Lessons from Building an Adaptive Audio System00:00 - 00:00 UTC | Monday 9th November 2026 |IntermediateAdvancedAdaptive audio systems promise to move beyond static presets by learning from user interaction. While much attention is given to machine-learning models, our experience suggests that the difficult problems lie not in model selection, but in engineering a system capable of generating meaningful training data. This talk presents the lessons learned while developing a closed-loop sound personalization system for hearing assistance, in which users generate training data through interaction with an existing audio processing chain. Users teach an existing DSP pipeline to adapt its parameters according to their individual listening preferences. Before any machine-learning model could be trained, we first […]