Can any one tell , how to evaluate the log-mel-filter bank energy?

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I want to find this feature —log mel filter bank energy for a speech data, and eventually feed it to the deep learning model.
Thats a different thing, as of now I am confused is it log of MFCC as we are doing in librosa or there is any other way?
any help will do

Regards

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Log mel filterbank energy is not log of MFCC. This is computed prior to MFCC computation.
You can find these features implemented in python speech features package in Python:

import python_speech_features as psf
psf.logfbank()

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