Update training & profiling scripts for new config

fluid/DeepASR/README.md

 The minimum PaddlePaddle version needed for the code sample in this directory is the lastest develop branch. If you are on a version of PaddlePaddle earlier than this, [please update your installation](http://www.paddlepaddle.org/docs/develop/documentation/en/build_and_install/pip_install_en.html).
 
----
-### TODO
+## Deep Automatic Speech Recognition
 
-This project is still under active development.
+### Introduction
+TBD
+
+### Installation
+
+#### Kaldi
+The decoder depends on [kaldi](https://github.com/kaldi-asr/kaldi), install it by flowing its instructions. Then
+
+```shell
+export KALDI_ROOT=<absolute path to kaldi>
+```
+
+#### Decoder
+
+```shell
+git clone https://github.com/PaddlePaddle/models.git
+cd models/fluid/DeepASR/decoder
+sh setup.sh
+```
+
+### Data reprocessing
+TBD
+
+### Training
+TBD
+
+
+### Inference & Decoding
+TBD
+
+### Question and Contribution
+TBD

fluid/DeepASR/examples/aishell/profile.sh

-export CUDA_VISIBLE_DEVICES=2,3,4,5
+export CUDA_VISIBLE_DEVICES=0,1,2,3
 python -u ../../tools/profile.py --feature_lst data/train_feature.lst \
                    --label_lst data/train_label.lst \
                    --mean_var data/aishell/global_mean_var \
                    --parallel \
-                   --frame_dim 2640  \
-                   --class_num 101  \
+                   --frame_dim 80  \
+                   --class_num 3040  \

fluid/DeepASR/examples/aishell/train.sh

-export CUDA_VISIBLE_DEVICES=2,3,4,5
+export CUDA_VISIBLE_DEVICES=0,1,2,3
 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  \
+                   --frame_dim 80  \
+                   --class_num 3040  \
                    --infer_models '' \
-                   --batch_size 128 \
-                   --learning_rate 0.00016 \
+                   --batch_size 64 \
+                   --learning_rate 6.4e-5 \
                    --parallel
+~

fluid/DeepASR/tools/profile.py

@@ -147,7 +147,7 @@ def profile(args):
     ltrans = [
         trans_add_delta.TransAddDelta(2, 2),
         trans_mean_variance_norm.TransMeanVarianceNorm(args.mean_var),
-        trans_splice.TransSplice(), trans_delay.TransDelay(5)
+        trans_splice.TransSplice(5, 5), trans_delay.TransDelay(5)
     ]
 
     data_reader = reader.AsyncDataReader(args.feature_lst, args.label_lst, -1)
@@ -170,6 +170,8 @@ def profile(args):
                 frames_seen = 0
             # load_data
             (features, labels, lod, _) = batch_data
+            features = np.reshape(features, (-1, 11, 3, args.frame_dim))
+            features = np.transpose(features, (0, 2, 1, 3))
             feature_t.set(features, place)
             feature_t.set_lod([lod])
             label_t.set(labels, place)