Fix schellcheck errors.

ci/install.sh

@@ -15,7 +15,7 @@ ${CXX:-g++} -v
     if ${USE_CONDA}; then
         ./setup_anaconda.sh venv espnet ${ESPNET_PYTHON_VERSION}
     else
-        ./setup_python.sh $(which python3) venv
+        ./setup_python.sh "$(which python3)" venv
     fi
     make TH_VERSION="${TH_VERSION}"
 

egs/reverb/asr1_multich/run.sh

@@ -378,21 +378,20 @@ if [ ${stage} -le 7 ] && [ ${stop_stage} -ge 7 ]; then
     echo "stage 7: Score enhanced speech"
     if ${compute_se}; then
         pesqdir=${PWD}/local
-        for rtask in "et"; do
-            simu_scp=${expdir}/enhance_${rtask}_simu_${nch_se}ch_multich/enhance.scp
-            real_scp=${expdir}/enhance_${rtask}_real_${nch_se}ch_multich/enhance.scp
-            enhancement_simu_scp=${PWD}/$simu_scp
-            enhancement_real_scp=${PWD}/$real_scp
-            local/compute_se_scores_multich.sh --nch ${nch_se} --enable_pesq ${enable_pesq} \
-                ${enhancement_simu_scp} \
-                ${enhancement_real_scp} \
-                ${reverb} \
-                ${PWD}/data/${rtask}_cln/wav.scp \
-                ${pesqdir} \
-                ${expdir}/enhanced_${rtask}_${nch_se}ch_metrics
-
-            cat ${expdir}/enhanced_${rtask}_metrics/scores/score_SimData
-            cat ${expdir}/enhanced_${rtask}_metrics/scores/score_RealData
-        done
+        rtask="et"
+        simu_scp=${expdir}/enhance_${rtask}_simu_${nch_se}ch_multich/enhance.scp
+        real_scp=${expdir}/enhance_${rtask}_real_${nch_se}ch_multich/enhance.scp
+        enhancement_simu_scp=${PWD}/$simu_scp
+        enhancement_real_scp=${PWD}/$real_scp
+        local/compute_se_scores_multich.sh --nch ${nch_se} --enable_pesq ${enable_pesq} \
+            ${enhancement_simu_scp} \
+            ${enhancement_real_scp} \
+            ${reverb} \
+            ${PWD}/data/${rtask}_cln/wav.scp \
+            ${pesqdir} \
+            ${expdir}/enhanced_${rtask}_${nch_se}ch_metrics
+
+        cat ${expdir}/enhanced_${rtask}_metrics/scores/score_SimData
+        cat ${expdir}/enhanced_${rtask}_metrics/scores/score_RealData
     fi
 fi

egs/timit_ssc/ssr1/run.sh

@@ -54,7 +54,7 @@ set -u
 set -o pipefail
 
 train_set=train
-train_dev=test
+train_dev="test"
 recog_set="test"
 # Available directories:
 # DCT_Features/features/{5,10,20,30}-dct
@@ -146,7 +146,7 @@ if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
     ### Removed wsj texts. By default we use the 65000 words pretrained wsj LM.
     ### This is because the SSC training set transcripts are from TIMIT while
     ### test transcripts are from WSJ0.
-    ### You can still add your corpus to train the LM. 
+    ### You can still add your corpus to train the LM.
     if [ ${use_wordlm} = true ]; then
         lmdatadir=data/local/wordlm_train
         lmdict=${lmdatadir}/wordlist_${lm_vocabsize}.txt

tools/extra_path.sh

@@ -1,3 +1,4 @@
+#!/usr/bin/env bash
 TOOL_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
 if [ -z "${TOOL_DIR}" ]; then
     echo "ERROR: Cannot derive the directory path of espnet/tools. This might be a bug."
@@ -12,4 +13,3 @@ export PATH="${TOOL_DIR}"/nkf/nkf-2.1.4:"${PATH:-}"
 export PATH="${TOOL_DIR}"/PESQ/P862_annex_A_2005_CD/source:"${PATH:-}"
 export PATH="${TOOL_DIR}"/kenlm/build/bin:"${PATH:-}"
 export LD_LIBRARY_PATH="${TOOL_DIR}"/lib:"${TOOL_DIR}"/lib64:"${LD_LIBRARY_PATH:-}"
-

utils/asr_align_wav.sh

@@ -18,7 +18,6 @@ stage=-1       # start from -1 if you need to start from model download
 stop_stage=100
 ngpu=0         # number of gpus ("0" uses cpu, otherwise use gpu)
 debugmode=1
-dumpdir=dump   # directory to dump full features
 verbose=2      # verbose option
 
 # feature configuration
@@ -92,7 +91,6 @@ EOF
 
 # make shellcheck happy
 train_cmd=
-decode_cmd=
 
 . ./cmd.sh
 
@@ -203,7 +201,7 @@ if [ ! -f "${wav}" ]; then
     echo "No such WAV file: ${wav}"
     exit 1
 fi
-if [ ! -n "${text}" ]; then
+if [ -z "${text}" ]; then
     echo "Text is empty: ${text}"
     exit 1
 fi
@@ -237,7 +235,7 @@ if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
     echo "stage 2: Json Data Preparation"
 
     nlsyms_opts=""
-    if [ ! -z ${nlsyms} ]; then
+    if [[ -n ${nlsyms} ]]; then
         nlsyms_opts="--nlsyms ${nlsyms}"
     fi
 
@@ -249,7 +247,6 @@ fi
 
 if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
     echo "stage 3: Aligning"
-    align_opts=""
     feat_align_dir=${align_dir}/dump
 
     ${python} -m espnet.bin.asr_align \