T. Virtanen, T. Heittola, S. Zhao, S. Gharib, and K. Drosos, “Privacy-preserving sound representation,” U.S. Patent US20230317086A1, filed Oct. 5, 2022; published Oct. 12, 2023
According to an example embodiment, a method (200) for audio-based monitoring is provided, the method (200) comprising: deriving (202), via usage of a predefined conversion model (M), based on audio data that represents sounds captured in a monitored space, one or more audio features that are descriptive of at least one characteristic of said sounds; identifying (204) respective occurrences of one or more predefined acoustic events in said space based on the one or more audio features; and carrying out (206), in response to identifying an occurrence of at least one of said one or more predefined acoustic events, one or more predefined actions associated with said at least one of said one or more predefined acoustic events, wherein said conversion model (M) is trained to provide said one or more audio features such that they include information that facilitates identification of respective occurrences of said one or more predefined acoustic events while preventing identification of speech characteristics.