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I use the cfg/TIMIT_baselines/TIMIT_MLP_mfcc_basic.cfg to train my model, and set the cw_left=10 and cw_right=10, the feature is 40 dimensions.
And when i cheak the model I've trained, the input layer's dimension of each node is 841 instead of 840, is there anything wrong?
The text was updated successfully, but these errors were encountered:
Hi, sorry for the late reply, we are very very busy with SpeechBrain and PyTorch-Kaldi won't be maintained anymore very soon. Isn't the energy of the current frame also added ?
I use the cfg/TIMIT_baselines/TIMIT_MLP_mfcc_basic.cfg to train my model, and set the cw_left=10 and cw_right=10, the feature is 40 dimensions.
And when i cheak the model I've trained, the input layer's dimension of each node is 841 instead of 840, is there anything wrong?
The text was updated successfully, but these errors were encountered: