DNN-for-speech-enhancement
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Number of epochs
Hi Dr.Xu, I am writing your code in python and using random initializing for layers. I also read your papers. I could find the number of epochs 50 and learning rate 0.1 for the 10 first epochs,then decreased by 10% after each epoch .
- Are these numbers correct?
- I plot the histogram of log-power spectra for each bin and they were like Gaussian distribution, but I also want to know why you say we should use standard normalization? we can't use for instance max-min normalization ? Thanks for your help