biaslab/SituatedSoundscaping

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Created over 4 years ago
Updated 5 months ago

biaslab/SituatedSoundscaping

biaslab

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Derivations and experiments of the "A Bayesian Modeling Approach to Situated Design of Personalized Soundscaping Algorithms" paper, published in the MDPI journal of Applied Sciences in the special issue on AI, Machine Learning and Deep Learning in Signal Processing, 2021.

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Experiments and derivations for SiPS2022 paper "Efficient model evidence computation in tree-structured factor graph"

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