Deep Neural Network For speech recognition using Kaldi

[vukosi rikhotso]

Good day,

I am working on training my acoustic model using DNN with Kaldi for speech recognition, I managed to do data preparation, monophone,tri3, and SGMM. But now when I am trying to run DNN it gives me the following error below. I have been struggling with the same error for weeks now. please help, how can I solve this error?

steps/nnet/make_fmllr_feats.sh --nj 2 --cmd run.pl --transform-dir exp/tri3_tso/decode_test data-fmllr-tri3_tso/test data/test exp/tri3_tso data-fmllr-tri3_tso/test/log data-fmllr-tri3_tso/test/data

steps/nnet/make_fmllr_feats.sh: feature type is lda_fmllr
utils/copy_data_dir.sh: copied data from data/test to data-fmllr-tri3_tso/test
utils/validate_data_dir.sh: Successfully validated data-directory data-fmllr-tri3_tso/test
steps/nnet/make_fmllr_feats.sh: Done!, type lda_fmllr, data/test --> data-fmllr-tri3_tso/test, using : raw-trans None, gmm exp/tri3_tso, trans exp/tri3_tso/decode_test
steps/nnet/make_fmllr_feats.sh --nj 4 --cmd run.pl --transform-dir exp/tri3_tso_ali data-fmllr-tri3_tso/train data/train exp/tri3_tso data-fmllr-tri3_tso/train/log data-fmllr-tri3_tso/train/data
steps/nnet/make_fmllr_feats.sh: feature type is lda_fmllr
utils/copy_data_dir.sh: copied data from data/train to data-fmllr-tri3_tso/train
utils/validate_data_dir.sh: Successfully validated data-directory data-fmllr-tri3_tso/train
steps/nnet/make_fmllr_feats.sh: Done!, type lda_fmllr, data/train --> data-fmllr-tri3_tso/train, using : raw-trans None, gmm exp/tri3_tso, trans exp/tri3_tso_ali
Speakers, src=44924, trn=40432, cv=4492 /tmp/rikhotsovukosi_QAr4r/speakers_cv
utils/data/subset_data_dir.sh: reducing #utt from 44924 to 40432
utils/data/subset_data_dir.sh: reducing #utt from 44924 to 4492
#
steps/nnet/pretrain_dbn.sh --hid-dim 1024 --rbm-iter 20 data-fmllr-tri3_tso/train exp/dnn4_pretrain-dbn
# INFO
steps/nnet/pretrain_dbn.sh : Pre-training Deep Belief Network as a stack of RBMs
dir       : exp/dnn4_pretrain-dbn
Train-set : data-fmllr-tri3_tso/train '44924'

steps/nnet/pretrain_dbn.sh: line 114: cuda-gpu-available: command not found
# Accounting: time=0 threads=1
# Ended (code 1) at Wed May 12 16:01:24 SAST 2021, elapsed time 0 seconds
# steps/nnet/pretrain_dbn.sh --hid-dim 1024 --rbm-iter 20 data-fmllr-tri3_tso/train exp/dnn4_pretrain-dbn
# Started at Wed May 12 17:12:27 SAST 2021
#
steps/nnet/pretrain_dbn.sh --hid-dim 1024 --rbm-iter 20 data-fmllr-tri3_tso/train exp/dnn4_pretrain-dbn
# INFO
steps/nnet/pretrain_dbn.sh : Pre-training Deep Belief Network as a stack of RBMs
dir       : exp/dnn4_pretrain-dbn
Train-set : data-fmllr-tri3_tso/train '44924'

steps/nnet/pretrain_dbn.sh: line 114: cuda-gpu-available: command not found
# Accounting: time=0 threads=1
# Ended (code 1) at Wed May 12 17:12:27 SAST 2021, elapsed time 0 seconds
run.pl: job failed, log is in exp/dnn4_pretrain-dbn/log/pretrain_dbn.log

[Daniel Povey]

that recipe.is.very old.  try.chain recipe, eg in mini_librispeech

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[vukosi rikhotso]

Ohwk thanks

Is it possible to run DNN using Kaldi in a machine using a CPU other than GPU?

Can I get the Script on Kaldi website?

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