I am trying to build a model to recognize the sounds of helicopters. When I deploy the model, I seem to be getting a lot of false positives from silence. I think this maybe because the silence gets normalized to be relatively loud, and when normalized the randomness of the silence sort of sound like a helicopter. Is there a way to turn normalization down so that the model is better able to separate quiet sounds from loud ones?
Is this the pre-emphasis setting in the MFCC? Are there settings in the Arduino inference script/lib I should adjust?
I was also going to try turning the gain down for the Mic in the Arduino script, it is set to the max.
It is also very possible my problem lies elsewhere, so let me know if this seem unlikely.