I have very short signals (usually 100 samples from a 44100 hz audio recording ). These are 'bang' noises that a hammer makes on a piece of metal. I want to use these short signals as input to some analysis (and a machine learning algorithm). I am not experienced in sound processing but from what I've gathered one of the most informative features you can use from a sound recording is the MFCC. I am using python's scikit talkbox package to compute the mfcc of my signals. The problem is that this package requires the signal to be at least 300 samples long (and as i've said mine are about 100 samples long and sometimes shorter).
I wanted to know if there is a different process I should be doing in this case to calculate the MFCC or if there are other suggestions for other methods, besides the MFCC, that I should be using.