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Michael Krause

PhD in machine learning for music and audio processing. My vision is to create algorithms that can listen to and understand music. To this end, I build deep learning models and analyze their behavior in depth. Research interests include: music information retrieval, deep learning, audio signal processing, self-supervised learning, musical sound event detection, differentiable digital signal processing, soft dynamic time warping.