AI Sound Recognition on a Cortex-M0: Data is King

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CAMBRIDGE, UK, Mar. 10, 2020 – 

As I tentatively squeeze the trigger, the gun fires, but the sound is not quite what I expect...

I'm standing in a semi-anechoic chamber in the audio lab of AI sound recognition company Audio Analytic, and far from the classic gunshot noise, the sound is more akin to a loud pop. In my amateur assessment, it's more like what I imagine a balloon bursting sounds like. Except that audio expert Chris Mitchell, CEO of Audio Analytic, tells me that in audio terms a gunshot is actually nothing like the sound of a balloon bursting. I stand corrected.

Firing the gun again outside the anechoic chamber, in the warehouse that houses the lab, produces something more like the classic gunshot sound one might hear in movies. The purpose of this demonstration is to illustrate the difference between the sound that actually comes from the gun, and the sound that we more commonly associate with gunshots, which is made up of reflections and echoes of the sound from its environment.

Separating these two things is absolutely crucial if we want to make an AI that can reliably be used to detect gunshots, since we want it to respond to the sound the gun actually makes, rather than any sounds that are the product of the environment, Mitchell explains.

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