1. An acoustic monitoring system, comprising: an array of microphone devices; an acoustic image controller communicatively coupled to the array of microphone devices and configured to output acoustic image data based on a plurality of audio signals received from the array of microphone devices, the acoustic image data comprising a 2-dimensional grid of pixels wherein intensity of each pixel represents sound intensity from a unique angle of arrival; and a computer audio vision (CAV) controller communicatively coupled to the acoustic image controller and including an event recognition mode and configured to analyze at least a portion of the acoustic image data to detect one or more sound events within an observed scene, and to determine at least one condition causing the one or more sound events, generate, in response to detecting one or more sound events, a multi-dimensional event signature for each respective sound event, each multi-dimensional event signature includes at least a portion of the acoustic image data and a set of spatially filtered sound signals based on the plurality of audio signals, for each respective sound event of the one or more sound events, score the multi-dimensional event signature against one or more predefined event class models, and classify a condition causing at least one sound event of the one or more events based on the one or more scored event class models.