diff --git a/fluid/DeepASR/examples/aishell/prepare_data.sh b/fluid/DeepASR/examples/aishell/prepare_data.sh
new file mode 100644
index 0000000000000000000000000000000000000000..d2c051c4d9ea10547f5ba4cc20213f430bf6dfce
--- /dev/null
+++ b/fluid/DeepASR/examples/aishell/prepare_data.sh
@@ -0,0 +1,37 @@
+data_dir=~/.cache/paddle/dataset/speech/deep_asr_data/aishell
+data_url='http://deep-asr-data.gz.bcebos.com/aishell_data.tar.gz'
+lst_url='http://deep-asr-data.gz.bcebos.com/aishell_lst.tar.gz'
+md5=e017d858d9e509c8a84b73f673f08b9a
+
+if [ ! -e $data_dir ]; then
+    mkdir -p $data_dir
+fi
+
+if [ ! -e $data_dir/aishell_data.tar.gz ]; then
+    echo "Download $data_dir/aishell_data.tar.gz ..."
+    wget -c  -P $data_dir $data_url
+else
+    echo "Skip downloading for $data_dir/aishell_data.tar.gz has already existed!"
+fi
+
+echo "Checking md5 sum ..."
+md5sum_tmp=`md5sum $data_dir/aishell_data.tar.gz | cut -d ' ' -f1`
+
+if [ $md5sum_tmp !=  $md5 ]; then
+    echo "Md5sum check failed, please remove and redownload "
+          "$data_dir/aishell_data.tar.gz"
+    exit 1
+fi
+
+echo "Untar aishell_data.tar.gz ..."
+tar xzf $data_dir/aishell_data.tar.gz -C $data_dir
+
+if [ ! -e data ]; then
+    mkdir data
+fi
+
+echo "Download and untar lst files ..."
+wget -c -P data $lst_url
+tar xvf data/aishell_lst.tar.gz -C data
+
+ln -s $data_dir data/aishell
diff --git a/fluid/DeepASR/examples/aishell/train.sh b/fluid/DeepASR/examples/aishell/train.sh
new file mode 100644
index 0000000000000000000000000000000000000000..41c0df2cd4985ae555f70554f27ff0dde8cb0cbe
--- /dev/null
+++ b/fluid/DeepASR/examples/aishell/train.sh
@@ -0,0 +1,13 @@
+export CUDA_VISIBLE_DEVICES=2,3,4,5
+python -u ../../train.py --train_feature_lst data/train_feature.lst \
+                   --train_label_lst data/train_label.lst \
+                   --val_feature_lst data/val_feature.lst \
+                   --val_label_lst data/val_label.lst \
+                   --mean_var data/aishell/global_mean_var \
+                   --checkpoints checkpoints \
+                   --frame_dim 2640  \
+                   --class_num 101  \
+                   --infer_models '' \
+                   --batch_size 128 \
+                   --learning_rate 0.00016 \
+                   --parallel