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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def stMFCC(X, fbank, n_mfcc_feats):
 """ Computes the MFCCs of a frame, given the fft mag ARGUMENTS: X: fft magnitude abs(FFT) fbank: filter bank (see mfccInitFilterBanks) RETURN ceps: MFCCs (13 element vector) Note: MFCC calculation is, in general, taken from the scikits.talkbox library (MIT Licence), # with a small number of modifications to make it more compact and suitable for the pyAudioAnalysis Lib """


    mspec = numpy.log10(numpy.dot(X, fbank.T)+eps)
    ceps = dct(mspec, type=2, norm='ortho', axis=-1)[:n_mfcc_feats]
    return ceps