Modify the egs scripts

egs/librispeech/asr/decode.sh

 #! /bin/bash
 
-# training the model
-
 gpu_num=1
 
 test_subset=(test-clean test-other)
-exp_name=test
+
+exp_name=
+if [ "$#" -eq 1 ]; then
+    exp_name=$1
+fi
 
 n_average=10
 beam_size=5

egs/librispeech/asr/run.sh

@@ -204,13 +204,23 @@ if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
 		dec_model=checkpoint_best.pt
 	fi
 
+    if [[ -z ${device} || ${#device[@]} -eq 0 ]]; then
+		if [[ ${gpu_num} -eq 0 ]]; then
+			device=()
+		else
+        	source ./local/utils.sh
+        	device=$(get_devices $gpu_num 0)
+		fi
+    fi
+    export CUDA_VISIBLE_DEVICES=${device}
+
 	#tmp_file=$(mktemp ${model_dir}/tmp-XXXXX)
 	#trap 'rm -rf ${tmp_file}' EXIT
 	result_file=${model_dir}/decode_result
 	[[ -f ${result_file} ]] && rm ${result_file}
 
 	for subset in ${test_subset[@]}; do
-        subset=${subset}_asr
+        subset=${subset}
   		cmd="python ${root_dir}/fairseq_cli/generate.py
         ${data_dir}/$lang
         --config-yaml ${data_config}

egs/mustc/asr/decode.sh

 #! /bin/bash
 
-# training the model
-
 gpu_num=1
 
 test_subset=(tst-COMMON)
-exp_name=test
+
+exp_name=
+if [ "$#" -eq 1 ]; then
+    exp_name=$1
+fi
 
 n_average=10
 beam_size=5
 max_tokens=40000
 
 cmd="./run.sh
-    --stage 3
-    --stop_stage 3
+    --stage 2
+    --stop_stage 2
     --gpu_num ${gpu_num}
     --exp_name ${exp_name}
     --test_subset ${test_subset}

egs/mustc/asr/run.sh

@@ -205,6 +205,16 @@ if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
 		dec_model=checkpoint_best.pt
 	fi
 
+    if [[ -z ${device} || ${#device[@]} -eq 0 ]]; then
+		if [[ ${gpu_num} -eq 0 ]]; then
+			device=()
+		else
+        	source ./local/utils.sh
+        	device=$(get_devices $gpu_num 0)
+		fi
+    fi
+    export CUDA_VISIBLE_DEVICES=${device}
+
 	#tmp_file=$(mktemp ${model_dir}/tmp-XXXXX)
 	#trap 'rm -rf ${tmp_file}' EXIT
 	result_file=${model_dir}/decode_result
@@ -221,7 +231,11 @@ if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
         --results-path ${model_dir}
         --max-tokens ${max_tokens}
         --beam ${beam_size}
-        --scoring wer"
+        --scoring wer
+        --wer-tokenizer 13a
+        --wer-lowercase
+        --wer-remove-punct
+        "
     	echo -e "\033[34mRun command: \n${cmd} \033[0m"
 
         if [[ $eval -eq 1 ]]; then

egs/mustc/st/decode.sh

 #! /bin/bash
 
-# training the model
-
 gpu_num=1
 
 test_subset=(tst-COMMON)
-exp_name=test
+
+exp_name=
+if [ "$#" -eq 1 ]; then
+    exp_name=$1
+fi
 
 n_average=10
 beam_size=5

egs/mustc/st/run.sh

@@ -242,6 +242,16 @@ if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
 		dec_model=checkpoint_best.pt
 	fi
 
+    if [[ -z ${device} || ${#device[@]} -eq 0 ]]; then
+		if [[ ${gpu_num} -eq 0 ]]; then
+			device=()
+		else
+        	source ./local/utils.sh
+        	device=$(get_devices $gpu_num 0)
+		fi
+    fi
+    export CUDA_VISIBLE_DEVICES=${device}
+
 	#tmp_file=$(mktemp ${model_dir}/tmp-XXXXX)
 	#trap 'rm -rf ${tmp_file}' EXIT
 	result_file=${model_dir}/decode_result