Sound model localization within an environment

A system comprising:

• one or more computers and one or more storage devices storing instructions which are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising:
• receiving, on a computing device in an environment, from devices in the environment, sound recordings made of sounds in the environment;
• determining, by the computing device, preliminary labels for the sound recordings using pre-trained sound models, wherein each of the preliminary labels has an associated probability;
• generating, by the computing device, sound clips with preliminary labels based on the sound recordings that have determined preliminary labels whose associated probability is over a high-recall threshold for the one of the pre-trained sound models that determined the preliminary label;
• sending, by the computing device, the sound clips with preliminary labels to a user device;
• receiving, by the computing device, labeled sound clips from the user device, wherein the labeled sound clips are based on the sound clips with preliminary labels;
• generating, by the computing device, training data sets for the pre-trained sound models using the labeled sound clips;
• and
• training the pre-trained sound models using the training data sets to generate localized sound models.