Crowdotic: Transformer-based Occupancy Estimation for Hospital Waiting Rooms with Non-speech Audio and Differential Privacy. (arXiv:2309.10280v1 [cs.SD])

Privacy-preserving crowd density analysis finds application across a wide
range of scenarios, substantially enhancing smart building operation and
management while upholding privacy expectations in various spaces. We propose a
non-speech audio-based approach for crowd analytics, leveraging a
transformer-based model. Our results demonstrate that non-speech audio alone
can be used to conduct such analysis with remarkable accuracy. To the best of
our knowledge, this is the first time when non-speech audio signals are
proposed for predicting occupancy. As far as we …

analysis analytics application audio crowd differential privacy hospital management non privacy results smart smart building speech