diff --git a/egs2/TEMPLATE/st1/st.sh b/egs2/TEMPLATE/st1/st.sh
index bc0f57e4173..03be329cecf 100755
--- a/egs2/TEMPLATE/st1/st.sh
+++ b/egs2/TEMPLATE/st1/st.sh
@@ -483,7 +483,7 @@ if ! "${skip_data_prep}"; then
             done
             utils/combine_data.sh --extra_files "${utt_extra_files}" "data/${train_set}_sp" ${_dirs}
             for extra_file in ${utt_extra_files}; do
-                python pyscripts/utils/remove_duplicate_keys.py data/"${train_set}_sp"/${extra_file} > data/"${train_set}_sp"/${extra_file}.tmp 
+                python pyscripts/utils/remove_duplicate_keys.py data/"${train_set}_sp"/${extra_file} > data/"${train_set}_sp"/${extra_file}.tmp
                 mv data/"${train_set}_sp"/${extra_file}.tmp data/"${train_set}_sp"/${extra_file}
             done 
         else
@@ -522,7 +522,7 @@ if ! "${skip_data_prep}"; then
                     for single_file in $(ls data/"${dset}"/${extra_file}*); do
                         cp ${single_file} "${data_feats}${_suf}/${dset}"
                         expand_utt_extra_files="${expand_utt_extra_files} $(basename ${single_file})"
-                    done 
+                    done
                 done
                 echo "${expand_utt_extra_files}"
                 utils/fix_data_dir.sh --utt_extra_files "${expand_utt_extra_files}" "${data_feats}${_suf}/${dset}"
@@ -567,7 +567,7 @@ if ! "${skip_data_prep}"; then
                     for single_file in $(ls data/"${dset}"/${extra_file}*); do
                         cp ${single_file} "${data_feats}${_suf}/${dset}"
                         expand_utt_extra_files="${expand_utt_extra_files} $(basename ${single_file})"
-                    done 
+                    done
                 done
                 for extra_file in ${expand_utt_extra_files}; do
                     LC_ALL=C sort -u -k1,1 "${data_feats}${_suf}/${dset}/${extra_file}" -o "${data_feats}${_suf}/${dset}/${extra_file}"
@@ -616,7 +616,7 @@ if ! "${skip_data_prep}"; then
                     for single_file in $(ls data/"${dset}"/${extra_file}*); do
                         cp ${single_file} "${data_feats}${_suf}/${dset}"
                         expand_utt_extra_files="${expand_utt_extra_files} $(basename ${single_file})"
-                    done 
+                    done
                 done
                 utils/fix_data_dir.sh --utt_extra_files "${expand_utt_extra_files}*" "${data_feats}${_suf}/${dset}"
                 for extra_file in ${expand_utt_extra_files}; do
@@ -706,11 +706,12 @@ if ! "${skip_data_prep}"; then
                 python pyscripts/utils/remove_duplicate_keys.py ${data_feats}/${dset}/${utt_extra_file} \
                     > ${data_feats}/${dset}/${utt_extra_file}.tmp 
                 mv ${data_feats}/${dset}/${utt_extra_file}.tmp ${data_feats}/${dset}/${utt_extra_file}
-            done 
+            done
         done
 
         # shellcheck disable=SC2002
-        cat ${lm_train_text} | awk ' { if( NF != 1 ) print $0; } ' > "${data_feats}/lm_train.${tgt_case}.${tgt_lang}.txt"
+        cat ${lm_train_text} | awk ' { if( NF != 1 ) print $0; } ' \
+            > "${data_feats}/lm_train.${src_lang}.${tgt_case}.${tgt_lang}.txt"
     fi
 
     if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
@@ -783,10 +784,10 @@ if ! "${skip_data_prep}"; then
 
         # Create word-list for word-LM training
         if ${use_word_lm} && [ "${tgt_token_type}" != word ]; then
-            log "Generate word level token_list from ${data_feats}/lm_train.${tgt_case}.${tgt_lang}.txt"
+            log "Generate word level token_list from ${data_feats}/lm_train.${src_lang}.${tgt_case}.${tgt_lang}.txt"
             ${python} -m espnet2.bin.tokenize_text \
                 --token_type word \
-                --input "${data_feats}/lm_train.${tgt_case}.${tgt_lang}.txt" --output "${lm_token_list}" \
+                --input "${data_feats}/lm_train.${src_lang}.${tgt_case}.${tgt_lang}.txt" --output "${lm_token_list}" \
                 --field 2- \
                 --cleaner "${cleaner}" \
                 --g2p "${g2p}" \
@@ -872,7 +873,7 @@ fi
 if ! "${skip_train}"; then
     if "${use_lm}"; then
         if [ ${stage} -le 6 ] && [ ${stop_stage} -ge 6 ]; then
-            log "Stage 6: LM collect stats: train_set=${data_feats}/lm_train.${tgt_case}.${tgt_lang}.txt, dev_set=${lm_dev_text}"
+            log "Stage 6: LM collect stats: train_set=${data_feats}/lm_train.${src_lang}.${tgt_case}.${tgt_lang}.txt, dev_set=${lm_dev_text}"
 
             _opts=
             if [ -n "${lm_config}" ]; then
@@ -885,9 +886,9 @@ if ! "${skip_train}"; then
             _logdir="${lm_stats_dir}/logdir"
             mkdir -p "${_logdir}"
             # Get the minimum number among ${nj} and the number lines of input files
-            _nj=$(min "${nj}" "$(<${data_feats}/lm_train.${tgt_case}.${tgt_lang}.txt wc -l)" "$(<${lm_dev_text} wc -l)")
+            _nj=$(min "${nj}" "$(<${data_feats}/lm_train.${src_lang}.${tgt_case}.${tgt_lang}.txt wc -l)" "$(<${lm_dev_text} wc -l)")
 
-            key_file="${data_feats}/lm_train.${tgt_case}.${tgt_lang}.txt"
+            key_file="${data_feats}/lm_train.${src_lang}.${tgt_case}.${tgt_lang}.txt"
             split_scps=""
             for n in $(seq ${_nj}); do
                 split_scps+=" ${_logdir}/train.${n}.scp"
@@ -911,7 +912,7 @@ if ! "${skip_train}"; then
             log "LM collect-stats started... log: '${_logdir}/stats.*.log'"
             # NOTE: --*_shape_file doesn't require length information if --batch_type=unsorted,
             #       but it's used only for deciding the sample ids.
-            # shellcheck disable=SC2086
+            # shellcheck disable=SC2046,SC2086
             ${train_cmd} JOB=1:"${_nj}" "${_logdir}"/stats.JOB.log \
                 ${python} -m espnet2.bin.lm_train \
                     --collect_stats true \
@@ -922,12 +923,12 @@ if ! "${skip_train}"; then
                     --non_linguistic_symbols "${nlsyms_txt}" \
                     --cleaner "${cleaner}" \
                     --g2p "${g2p}" \
-                    --train_data_path_and_name_and_type "${data_feats}/lm_train.${tgt_case}.${tgt_lang}.txt,text,text" \
+                    --train_data_path_and_name_and_type "${data_feats}/lm_train.${src_lang}.${tgt_case}.${tgt_lang}.txt,text,text" \
                     --valid_data_path_and_name_and_type "${lm_dev_text},text,text" \
                     --train_shape_file "${_logdir}/train.JOB.scp" \
                     --valid_shape_file "${_logdir}/dev.JOB.scp" \
                     --output_dir "${_logdir}/stats.JOB" \
-                    ${_opts} ${lm_args} || { cat "${_logdir}"/stats.1.log; exit 1; }
+                    ${_opts} ${lm_args} || { cat $(grep -l -i error "${_logdir}"/stats.*.log) ; exit 1; }
 
             # 4. Aggregate shape files
             _opts=
@@ -949,7 +950,7 @@ if ! "${skip_train}"; then
 
 
         if [ ${stage} -le 7 ] && [ ${stop_stage} -ge 7 ]; then
-            log "Stage 7: LM Training: train_set=${data_feats}/lm_train.${tgt_case}.${tgt_lang}.txt, dev_set=${lm_dev_text}"
+            log "Stage 7: LM Training: train_set=${data_feats}/lm_train.${src_lang}.${tgt_case}.${tgt_lang}.txt, dev_set=${lm_dev_text}"
 
             _opts=
             if [ -n "${lm_config}" ]; then
@@ -967,7 +968,7 @@ if ! "${skip_train}"; then
                 if [ ! -f "${_split_dir}/.done" ]; then
                     rm -f "${_split_dir}/.done"
                     ${python} -m espnet2.bin.split_scps \
-                      --scps "${data_feats}/lm_train.${tgt_case}.${tgt_lang}.txt" "${lm_stats_dir}/train/text_shape.${lm_token_type}" \
+                      --scps "${data_feats}/lm_train.${src_lang}.${tgt_case}.${tgt_lang}.txt" "${lm_stats_dir}/train/text_shape.${lm_token_type}" \
                       --num_splits "${num_splits_lm}" \
                       --output_dir "${_split_dir}"
                     touch "${_split_dir}/.done"
@@ -975,12 +976,12 @@ if ! "${skip_train}"; then
                     log "${_split_dir}/.done exists. Spliting is skipped"
                 fi
 
-                _opts+="--train_data_path_and_name_and_type ${_split_dir}/lm_train.${tgt_case}.${tgt_lang}.txt,text,text "
+                _opts+="--train_data_path_and_name_and_type ${_split_dir}/lm_train.${src_lang}.${tgt_case}.${tgt_lang}.txt,text,text "
                 _opts+="--train_shape_file ${_split_dir}/text_shape.${lm_token_type} "
                 _opts+="--multiple_iterator true "
 
             else
-                _opts+="--train_data_path_and_name_and_type ${data_feats}/lm_train.${tgt_case}.${tgt_lang}.txt,text,text "
+                _opts+="--train_data_path_and_name_and_type ${data_feats}/lm_train.${src_lang}.${tgt_case}.${tgt_lang}.txt,text,text "
                 _opts+="--train_shape_file ${lm_stats_dir}/train/text_shape.${lm_token_type} "
             fi
 
@@ -1053,9 +1054,9 @@ if ! "${skip_train}"; then
     fi
     if [ ${stage} -le 9 ] && [ ${stop_stage} -ge 9 ]; then
         if "${use_ngram}"; then
-            log "Stage 9: Ngram Training: train_set=${data_feats}/lm_train.${tgt_case}.${tgt_lang}.txt"
-            cut -f 2 -d " " ${data_feats}/lm_train.${tgt_case}.${tgt_lang}.txt | lmplz -S "20%" --discount_fallback -o ${ngram_num} - >${ngram_exp}/${ngram_num}gram.arpa
-            build_binary -s ${ngram_exp}/${ngram_num}gram.arpa ${ngram_exp}/${ngram_num}gram.bin 
+            log "Stage 9: Ngram Training: train_set=${data_feats}/lm_train.${src_lang}.${tgt_case}.${tgt_lang}.txt"
+            cut -f 2 -d " " ${data_feats}/lm_train.${src_lang}.${tgt_case}.${tgt_lang}.txt | lmplz -S "20%" --discount_fallback -o ${ngram_num} - >${ngram_exp}/${ngram_num}gram.arpa
+            build_binary -s ${ngram_exp}/${ngram_num}gram.arpa ${ngram_exp}/${ngram_num}gram.bin
         else
             log "Stage 9: Skip ngram stages: use_ngram=${use_ngram}"
         fi
@@ -1407,7 +1408,7 @@ if ! "${skip_eval}"; then
 
             # 2. Submit decoding jobs
             log "Decoding started... log: '${_logdir}/st_inference.*.log'"
-            # shellcheck disable=SC2086
+            # shellcheck disable=SC2046,SC2086
             ${_cmd} --gpu "${_ngpu}" JOB=1:"${_nj}" "${_logdir}"/st_inference.JOB.log \
                 ${python} -m ${st_inference_tool} \
                     --batch_size ${batch_size} \
@@ -1417,7 +1418,7 @@ if ! "${skip_eval}"; then
                     --st_train_config "${st_exp}"/config.yaml \
                     --st_model_file "${st_exp}"/"${inference_st_model}" \
                     --output_dir "${_logdir}"/output.JOB \
-                    ${_opts} ${inference_args}
+                    ${_opts} ${inference_args} || { cat $(grep -l -i error "${_logdir}"/st_inference.*.log) ; exit 1; }
 
             # 3. Concatenates the output files from each jobs
             for f in token token_int score text; do
@@ -1463,7 +1464,7 @@ if ! "${skip_eval}"; then
                             ) \
                 <(<"${_data}/utt2spk" awk '{ print "(" $2 "-" $1 ")" }') \
                     >"${_scoredir}/hyp.trn.org"
-            
+
             # remove utterance id
             perl -pe 's/\([^\)]+\)$//g;' "${_scoredir}/ref.trn.org" > "${_scoredir}/ref.trn"
             perl -pe 's/\([^\)]+\)$//g;' "${_scoredir}/hyp.trn.org" > "${_scoredir}/hyp.trn"
@@ -1484,7 +1485,7 @@ if ! "${skip_eval}"; then
                           -i "${_scoredir}/hyp.trn.detok" \
                           -m bleu chrf ter \
                           >> ${_scoredir}/result.tc.txt
-                
+
                 log "Write a case-sensitive BLEU (single-reference) result in ${_scoredir}/result.tc.txt"
             fi
 
@@ -1516,8 +1517,8 @@ if ! "${skip_eval}"; then
                                 ) \
                         <(<"${_data}/utt2spk" awk '{ print "(" $2 "-" $1 ")" }') \
                             >"${_scoredir}/ref.trn.org.${ref_idx}"
-                    
-                    # 
+
+                    # remove utterance id
                     perl -pe 's/\([^\)]+\)$//g;' "${_scoredir}/ref.trn.org.${ref_idx}" > "${_scoredir}/ref.trn.${ref_idx}"
                     detokenizer.perl -l ${tgt_lang} -q < "${_scoredir}/ref.trn.${ref_idx}" > "${_scoredir}/ref.trn.detok.${ref_idx}"
                     remove_punctuation.pl < "${_scoredir}/ref.trn.detok.${ref_idx}" > "${_scoredir}/ref.trn.detok.lc.rm.${ref_idx}"
@@ -1653,11 +1654,11 @@ if ! "${skip_upload_hf}"; then
         gitlfs=$(git lfs --version 2> /dev/null || true)
         [ -z "${gitlfs}" ] && \
             log "ERROR: You need to install git-lfs first" && \
-            exit 1             
-  
+            exit 1
+
         dir_repo=${expdir}/hf_${hf_repo//"/"/"_"}
         [ ! -d "${dir_repo}" ] && git clone https://huggingface.co/${hf_repo} ${dir_repo}
-  
+
         if command -v git &> /dev/null; then
             _creator_name="$(git config user.name)"
             _checkout="git checkout $(git show -s --format=%H)"
@@ -1670,13 +1671,13 @@ if ! "${skip_upload_hf}"; then
         # foo/asr1 -> foo
         _corpus="${_task%/*}"
         _model_name="${_creator_name}/${_corpus}_$(basename ${packed_model} .zip)"
-  
+
         # copy files in ${dir_repo}
         unzip -o ${packed_model} -d ${dir_repo}
         # Generate description file
         # shellcheck disable=SC2034
         hf_task=speech-translation
-        # shellcheck disable=SC2034     
+        # shellcheck disable=SC2034
         espnet_task=ST
         # shellcheck disable=SC2034
         task_exp=${st_exp}