Here, I have normalized the mfcc:
data_2 = librosa.feature.mfcc(y=data_2, n_mfcc=no_mfcc, sr=rate_data_2)
data_2 = speechpy.processing.cmvnw(data_2,win_size=301,variance_normalization=True)
I need a way to reverse the normalization.
Is there any way to reverse normalization of mfcc? I have used CMVN of SpeechPy to normalize the mfcc
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