Currently, I am trying to work with the Dataset UrbanSound8K to try some Audio classification. And I got stuck in the preprocessing step already.
Since the audios are of different lengths, like 4 seconds or 0.3 seconds, I found it impossible to directly pass into the whitening algorithms like PCA even after Feature Extraction, using mel-spectrogram/ MFCC.
So my question is what I can do under such circumstance. I was wondering about zero-padding at the end of the shorter sequence. But it seems not working and not going to yield a nice result.
I saw some people using MFCC and summarizing the MFCCs along the time-axis, like mean, variance, kurtosis, skewness.... I think that would work in this case but I just wonder if there are any other ways to do so.