| | |
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| | | asr_config=conf/train_asr_conformer.yaml |
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| | | model_dir="baseline_$(basename "${asr_config}" .yaml)_${lang}_${token_type}_${tag}" |
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| | | |
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| | | inference_config=conf/decode_asr_transformer.yaml |
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| | | #inference_config=conf/decode_asr_transformer_beam60_ctc0.3.yaml |
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| | | inference_asr_model=valid.acc.ave_10best.pth |
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| | | inference_config=conf/decode_asr_transformer_ctc0.3_beam5yaml |
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| | | #inference_config=conf/decode_asr_transformer_ctc0.3_beam60.yaml |
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| | | inference_asr_model=valid.acc.ave_10best.pb |
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| | | |
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| | | # you can set gpu num for decoding here |
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| | | gpuid_list=$CUDA_VISIBLE_DEVICES # set gpus for decoding, the same as training stage by default |
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| | |
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| | | |
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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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| | | utils/compute_cmvn.sh --fbankdir ${feats_dir}/data/${train_set} --cmd "$train_cmd" --nj $nj --feats_dim ${feats_dim} --config_file "$asr_config" --scale 1.0 |
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| | | fi |
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| | | |
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| | | token_list=${feats_dir}/data/lang_char/${train_set}_${bpemode}${nbpe}_units.txt |
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| | |
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| | | --data_dir ${feats_dir}/data \ |
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| | | --train_set ${train_set} \ |
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| | | --valid_set ${valid_set} \ |
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| | | --cmvn_file ${feats_dir}/data/${train_set}/cmvn/cmvn.mvn \ |
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| | | --cmvn_file ${feats_dir}/data/${train_set}/cmvn/am.mvn \ |
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| | | --speed_perturb ${speed_perturb} \ |
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| | | --resume true \ |
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| | | --output_dir ${exp_dir}/exp/${model_dir} \ |
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| | |
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| | | --njob ${njob} \ |
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| | | --gpuid_list ${gpuid_list} \ |
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| | | --data_path_and_name_and_type "${_data}/${scp},speech,${type}" \ |
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| | | --cmvn_file ${feats_dir}/data/${train_set}/cmvn/cmvn.mvn \ |
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| | | --cmvn_file ${feats_dir}/data/${train_set}/cmvn/am.mvn \ |
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| | | --key_file "${_logdir}"/keys.JOB.scp \ |
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| | | --asr_train_config "${asr_exp}"/config.yaml \ |
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| | | --asr_model_file "${asr_exp}"/"${inference_asr_model}" \ |
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