| | |
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| | | . ./path.sh || exit 1; |
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| | | |
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| | | # machines configuration |
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| | | CUDA_VISIBLE_DEVICES="0,1" |
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| | | CUDA_VISIBLE_DEVICES="2,3" |
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| | | gpu_num=2 |
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| | | count=1 |
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| | | gpu_inference=true # Whether to perform gpu decoding, set false for cpu decoding |
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| | |
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| | | token_type=char |
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| | | scp=wav.scp |
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| | | type=sound |
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| | | stage=2 |
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| | | stage=1 |
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| | | stop_stage=3 |
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| | | |
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| | | # feature configuration |
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| | |
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| | | data_url=www.openslr.org/resources/33 |
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| | | |
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| | | # exp tag |
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| | | tag="exp1" |
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| | | tag="exp2" |
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| | | |
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| | | . utils/parse_options.sh || exit 1; |
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| | | |
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| | |
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| | | done |
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| | | fi |
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| | | |
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| | | feat_train_dir=${feats_dir}/${dumpdir}/train; mkdir -p ${feat_train_dir} |
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| | | if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then |
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| | | echo "stage 1: Feature and CMVN Generation" |
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| | | utils/compute_cmvn.sh --cmd "$train_cmd" --nj $nj --feats_dim ${feats_dim} ${feats_dir}/data/${train_set} |
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