Closed LeoniusChen closed 3 years ago
Sorry, I am not an expert in this field. I do not know which is better.
I only know, in the field of speech, generally normalize the Fbank in feature dimension.
You can refer the following discussions:
How to normalize MFCCs
Effect of MFCC normalization on vector quantization based speaker identification
Feature Normalisation for Robust Speech Recognition
The fbank is normalised at the dimension of feature rather than frame, which is different from the definition. I'm confused with this. Could you tell me why?