Dealing with different sized MFCC vectors as training data
<p>I am working on a project where I am classifying coughs of a patient as either positive or negative for a certain pulmonary illness.</p>

<p>What I have at the moment is multiple cough events, segmented from larger recordings. I have extracted various spectral features for each cough event and want to add all of these to one feature vector to train a Logistic Regression (LR) classifier.</p>

<p>The problem is that each cough event is different in length and this results in my MFCC features being different in length too, which is an issue when training a LR classifier.</p>

<p>So, I want to know if anyone has some fix for dealing with MFCC feature vectors of different sizes and how to get them in the correct shape to use as a training vector. I feel really stupid, but I cant find anything about this online. Surely this issue has been encountered before?</p>