Comments (5)
would like to know this as well
from ctc_tensorflow_example.
There are different ways to normalize the data. One way is using the code that you have provided. The other way is to accumulate the statistics over the coefficients in the training data:
def prepare_training_inputs(wav_filenames):
mfccs = []
for wav in wav_filenames:
mfcc = utils.wav_mfcc(wav)
mfccs.append(mfcc)
values = np.vstack(mfccs) # transform a list of len N with mfccs into a matrix of T x D
mean, std = np.mean(values, axis=0), np.std(values, axis=0)
mfccs = [(mfcc - mean)/(std + eps) for mfcc in mfccs]
...
from ctc_tensorflow_example.
@abrari, can I close this issue?
from ctc_tensorflow_example.
from ctc_tensorflow_example.
:)
from ctc_tensorflow_example.
Related Issues (20)
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from ctc_tensorflow_example.