TIMIT_MLP_mfcc.cfg

[data]
out_folder=TIMIT_MLP_mfcc

tr_fea_scp=/home/mirco/pytorch_MLP_for_ASR/mfcc_lists/train_split.000,/home/mirco/pytorch_MLP_for_ASR/mfcc_lists/train_split.001,/home/mirco/pytorch_MLP_for_ASR/mfcc_lists/train_split.002,/home/mirco/pytorch_MLP_for_ASR/mfcc_lists/train_split.003,/home/mirco/pytorch_MLP_for_ASR/mfcc_lists/train_split.004
tr_fea_opts=apply-cmvn --utt2spk=ark:/home/mirco/kaldi-trunk/egs/timit/s5/data/train/utt2spk  ark:/home/mirco/pytorch_exp/splits_fea/train_cmvn_speaker.ark ark:- ark:- | add-deltas --delta-order=2 ark:- ark:- |
tr_lab_folder=/home/mirco/kaldi-trunk/egs/timit/s5/exp/dnn4_pretrain-dbn_dnn_ali
tr_lab_opts=ali-to-pdf


dev_fea_scp=/home/mirco/pytorch_MLP_for_ASR/mfcc_lists/dev_split.000
dev_fea_opts=apply-cmvn --utt2spk=ark:/home/mirco/kaldi-trunk/egs/timit/s5/data/dev/utt2spk  ark:/home/mirco/pytorch_exp/splits_fea/dev_cmvn_speaker.ark ark:- ark:- | add-deltas --delta-order=2 ark:- ark:- |
dev_lab_folder='/home/mirco/kaldi-trunk/egs/timit/s5/exp/dnn4_pretrain-dbn_dnn_ali_dev'
dev_lab_opts='ali-to-pdf'

te_fea_scp=/home/mirco/pytorch_MLP_for_ASR/mfcc_lists/test_split.000
te_fea_opts=apply-cmvn --utt2spk=ark:/home/mirco/kaldi-trunk/egs/timit/s5/data/test/utt2spk  ark:/home/mirco/pytorch_exp/splits_fea/test_cmvn_speaker.ark ark:- ark:- | add-deltas --delta-order=2 ark:- ark:- |
te_lab_folder=/home/mirco/kaldi-trunk/egs/timit/s5/exp/dnn4_pretrain-dbn_dnn_ali_test
te_lab_opts=ali-to-pdf

count_file=/home/mirco/kaldi-trunk/egs/timit/s5/exp/dnn4_pretrain-dbn_dnn/ali_train_pdf.counts

[architecture]
hidden_dim=1024
N_hid=4
drop_rate=0.15
use_batchnorm=1
cw_left=5
cw_right=5
seed=1234
use_cuda=1

[optimization]
N_ep=24
lr=0.08
halving_factor=0.5
improvement_threshold = 0.001
batch_size=128
save_gpumem=0