CoContext
Distributed clustering methods for audio fingerprints for contact context estimation
Our CoContext project, funded by the DFG, has started, in collaboration with Jan Rupp and Nadja Käding from UKSH. The CoContext project aims at developing distributed clustering methods for audio fingerprints for contact context estimation and, together with UKSH, collects audio data on coughing data and speaking with mask data in a controlled hospital environment, to asses the quality of public datasets.
Contact
Prof. Dr. Esfandiar Mohammadi
Universität zu Lübeck
Institut für IT-Sicherheit
Ratzeburger Allee 160
23562 Lübeck
Homepage: https://www.its.uni-luebeck.de
Fachgebiet: Informatik
Spezialgebiet(e): Privacy-Preserving Technologies