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Given two byte arrays of data captured from a microphone, how can I determine which one has more spikes in noise? I would assume there is an algorithm I can apply to the data, but I have no idea where to start.
Getting down to it, I need to be able to determine when a baby is crying vs ambient noise in the room.
If it helps, I am using the Microsoft.Xna.Framework.Audio.Microphone class to capture the sound.
you can convert each sample (normalised to a range 1.0 to -1.0) into a decibel rating by applying the formula
dB = 20 * log-base-10 (sample-value)
To be honest, so long as you don’t mind the occasional false positive, and your microphone is set up OK, you should have no problem telling the difference between a baby crying and ambient background noise, without going through the hassle of doing an FFT.
I’d recommend you having a look at the source code for a noise gate, which does pretty much what you are after, with configurable attack times & thresholds.