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2votes
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Normalisation of features extracted from audio files

I am building CNN and SVM models which take in MFCC features as input. The MFCC matrices shape is (13, n). The 13 rows are coefficients and n columns represent n time frames. So each row in the matrix ...
user75252's user avatar
1vote
2answers
847views

Why normalization kills my accuracy

I have a binary sound classifier. I have a feature set that is extracted from audio with size of 48. I have a model(multi layer neural network) that has around %90 accuracy on test and validation sets....
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