Not on Kaggle, but related:

Haytham Fayek offered this advice:

tl;dr:

Use Mel-scaled filter banks if the machine learning algorithm is not susceptible to highly correlated input.

Use MFCCs if the machine learning algorithm is susceptible to correlated input.