valerio
valerio
thx for the answer. we set the smooth rate to 0.99 and this is the result. have you used ikala or mir-1k dataset in the training process with 100k epochs?...
we are training the network with mir-1k dataset. after that we try with ikala dataset and the we compare the results. for the optimizer L-BFGS we found this https://github.com/midori1/pylbfgs ....
why GNSDR, GSIR, GSAR assume the same values? the paper expected results are different
did you separe the dataset for train and eval? using 175 clip for training and 825 for eval like the paper [3]
how can i know when one epoch is passed?