Systems and methods for transient acoustic event detection, classification, and localization

A system comprising,

• a plurality of sensor nodes and at least one remote server, wherein each sensor node of the plurality of sensor nodes and the at least one remote server are communicatively coupled, wherein the plurality of sensor nodes receive at least one acoustic signal, process the at least one acoustic signal to detect one or more transient events, classify the one or more transient events as an event type, and determine geometry information and timing information of the one or more transient events, wherein the detecting the one or more transient event includes applying a detection algorithm to the digital signal, wherein each sensor nodes of the plurality of sensor nodes comprises a GPS unit and at least four acoustic channels for receiving the at least one acoustic signal, wherein each sensor node of the plurality of sensor nodes continuously samples the at least four acoustic channels and converts the at least one acoustic signal into a digital signal, wherein the digital signal comprises a 4-channel digital signal;
• at least one of the plurality of sensor nodes and the at least one remote server identifying the source of the one or more transient events, wherein the identifying the source of the one or more transient events includes applying a convolutional neural network analysis to the digital signal to classify the at least one acoustic signal as an event type, wherein input of the convolutional neural network analysis includes a timestamp of the one or more transient events, wherein the input includes a Short-Term-Fourier Transform (STFT) of one or more of the at least one acoustic signal and a high-pass filtered version of the at least one acoustic signal near a transient trigger.