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Thanks for noticing the spectral analysis. We put quite a bit of work into the training system. Besides the base-level Fourier transformed images, we also have a UI for partners who can easily report if an alert was correct or not which also feeds back into the system.

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I also work with non-speech audio and I'm curious: Do you use pure DFT:s as inputs to your models or do you use mel-energies or MFCC:s? What kind of models do you use? Since there is not that much variation in the sound of a chainsaw I suppose either a regular fully connected or convolutional neural network?

Love what you are doing and I would love to see a technical blog post about how you work with audio!

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