Upload auxilary files for decoding

fluid/DeepASR/examples/aishell/infer_by_ckpt.sh

 decode_to_path=./decoding_result.txt
 
-export CUDA_VISIBLE_DEVICES=2,3,4,5
+export CUDA_VISIBLE_DEVICES=0,1,2,3
 python -u ../../infer_by_ckpt.py --batch_size 96  \
-                        --checkpoint checkpoints/deep_asr.pass_20.checkpoint \
+                        --checkpoint checkpoints/deep_asr.latest.checkpoint \
                         --infer_feature_lst data/test_feature.lst  \
                         --mean_var data/global_mean_var \
                         --frame_dim 80  \
@@ -10,9 +10,9 @@ python -u ../../infer_by_ckpt.py --batch_size 96  \
                         --num_threads 24  \
                         --beam_size 11 \
                         --decode_to_path $decode_to_path \
-                        --trans_model mapped_decoder_data/exp/tri5a/final.mdl \
-                        --log_prior mapped_decoder_data/logprior \
-                        --vocabulary mapped_decoder_data/exp/tri5a/graph/words.txt \
-                        --graphs mapped_decoder_data/exp/tri5a/graph/HCLG.fst \
+                        --trans_model aux/final.mdl \
+                        --log_prior aux/logprior \
+                        --vocabulary aux/graph/words.txt \
+                        --graphs aux/graph/HCLG.fst \
                         --acoustic_scale 0.059 \
                         --parallel

fluid/DeepASR/examples/aishell/prepare_data.sh

 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'
+aux_url='http://deep-asr-data.gz.bcebos.com/aux.tar.gz'
 md5=17669b8d63331c9326f4a9393d289bfb
+aux_md5=50e3125eba1e3a2768a6f2e499cc1749
 
 if [ ! -e $data_dir ]; then
     mkdir -p $data_dir
@@ -35,3 +37,7 @@ wget -c -P data $lst_url
 tar xvf data/aishell_lst.tar.gz -C data
 
 ln -s $data_dir data/aishell
+
+echo "Download and untar aux files ..."
+wget -c $aux_url
+tar xvf aux.tar.gz 

fluid/DeepASR/examples/aishell/score_cer.sh

-ref_txt=data/text.test
+ref_txt=aux/test.ref.txt
 hyp_txt=decoding_result.txt
 
 python ../../score_error_rate.py --error_rate_type cer --ref $ref_txt --hyp $hyp_txt