Acoustic and Other Waveform Event Detection and Correction Systems and Methods

A computing device comprising:

• one or more input devices;
• one or more processors;
• and
• one or more memory devices, the one or more memory devices storing instructions that when executed by the one or more processors cause the one or more processors to perform operations, the operations comprising:
• obtaining, via the one or more input devices, audio data from a source;
• accessing data indicative of a machine-learned acoustic detection model;
• inputting the audio data from the source into the machine-learned acoustic detection model;
• obtaining an output from the machine-learned acoustic detection model, wherein the output is indicative of an acoustic event associated with the source;
• and
• providing data indicative of a notification to a user device of a user, wherein the notification indicates the acoustic event and one or more responses for selection by the user.

One or more tangible, non-transitory computer-readable media storing computer-readable instructions that when executed by one or more processors cause the one or more processors to perform operations, the operations comprising:

• obtaining audio data associated with a source, wherein the source is a human child;
• accessing data indicative of a machine-learned acoustic detection model;
• inputting the audio data from the source into the machine-learned acoustic detection model;
• obtaining an output from the machine-learned acoustic detection model, wherein the output is indicative of an acoustic event associated with a cry of the human child;
• and
• providing data indicative of a notification to a user device of a user, wherein the notification indicates the acoustic event and one or more responses for selection by the user.