diff --git a/README.md b/README.md
index b54ed876f..41307b045 100644
--- a/README.md
+++ b/README.md
@@ -505,13 +505,13 @@ Language Model | Training Data | Token-based | Size | Descriptions
 
 Test Set                | LibriSpeech Model | BaiduEN8K Model
 :---------------------  | ---------------:  | -------------------:
-LibriSpeech Test-Clean  |   7.73            |   6.63
-LibriSpeech Test-Other  |   23.15           |   16.59
-VoxForge American-Canadian | 12.30          |   7.46
-VoxForge Commonwealth   |   20.03           |   16.23
-VoxForge European       |   30.31           |   20.47
-VoxForge Indian         |   55.47           |   28.15
-Baidu Internal Testset  |   44.71           |   8.92
+LibriSpeech Test-Clean  |   6.85            |   5.73
+LibriSpeech Test-Other  |   21.18           |   14.47
+VoxForge American-Canadian | 12.12          |   7.37
+VoxForge Commonwealth   |   19.82           |   15.58
+VoxForge European       |   30.15           |   19.44
+VoxForge Indian         |   53.73           |   26.15
+Baidu Internal Testset  |   40.75           |   8.82
 
 For reproducing benchmark results on VoxForge data, we provide a script to download data and generate VoxForge dialect manifest files. Please go to ```data/voxforge``` and execute ```sh run_data.sh``` to get VoxForge dialect manifest files. Notice that VoxForge data may keep updating and the generated manifest files may have difference from those we evaluated on.
 
diff --git a/examples/librispeech/run_infer.sh b/examples/librispeech/run_infer.sh
index 2df5b6cc4..44b97bacf 100644
--- a/examples/librispeech/run_infer.sh
+++ b/examples/librispeech/run_infer.sh
@@ -21,8 +21,8 @@ python -u infer.py \
 --num_conv_layers=2 \
 --num_rnn_layers=3 \
 --rnn_layer_size=2048 \
---alpha=2.15 \
---beta=0.35 \
+--alpha=2.5 \
+--beta=0.3 \
 --cutoff_prob=1.0 \
 --cutoff_top_n=40 \
 --use_gru=False \
diff --git a/examples/librispeech/run_infer_golden.sh b/examples/librispeech/run_infer_golden.sh
index c407cabe4..173790903 100644
--- a/examples/librispeech/run_infer_golden.sh
+++ b/examples/librispeech/run_infer_golden.sh
@@ -30,8 +30,8 @@ python -u infer.py \
 --num_conv_layers=2 \
 --num_rnn_layers=3 \
 --rnn_layer_size=2048 \
---alpha=2.15 \
---beta=0.35 \
+--alpha=2.5 \
+--beta=0.3 \
 --cutoff_prob=1.0 \
 --cutoff_top_n=40 \
 --use_gru=False \
diff --git a/examples/librispeech/run_test.sh b/examples/librispeech/run_test.sh
index 0a76704d7..11cd74116 100644
--- a/examples/librispeech/run_test.sh
+++ b/examples/librispeech/run_test.sh
@@ -22,8 +22,8 @@ python -u test.py \
 --num_conv_layers=2 \
 --num_rnn_layers=3 \
 --rnn_layer_size=2048 \
---alpha=2.15 \
---beta=0.35 \
+--alpha=2.5 \
+--beta=0.3 \
 --cutoff_prob=1.0 \
 --cutoff_top_n=40 \
 --use_gru=False \
diff --git a/examples/librispeech/run_test_golden.sh b/examples/librispeech/run_test_golden.sh
index 3e7e3b4c5..41dbc0dae 100644
--- a/examples/librispeech/run_test_golden.sh
+++ b/examples/librispeech/run_test_golden.sh
@@ -31,8 +31,8 @@ python -u test.py \
 --num_conv_layers=2 \
 --num_rnn_layers=3 \
 --rnn_layer_size=2048 \
---alpha=2.15 \
---beta=0.35 \
+--alpha=2.5 \
+--beta=0.3 \
 --cutoff_prob=1.0 \
 --cutoff_top_n=40 \
 --use_gru=False \
diff --git a/examples/tiny/run_infer.sh b/examples/tiny/run_infer.sh
index 3a345f2ff..0cc140c8e 100644
--- a/examples/tiny/run_infer.sh
+++ b/examples/tiny/run_infer.sh
@@ -21,8 +21,8 @@ python -u infer.py \
 --num_conv_layers=2 \
 --num_rnn_layers=3 \
 --rnn_layer_size=2048 \
---alpha=2.15 \
---beta=0.35 \
+--alpha=2.5 \
+--beta=0.3 \
 --cutoff_prob=1.0 \
 --cutoff_top_n=40 \
 --use_gru=False \
diff --git a/examples/tiny/run_infer_golden.sh b/examples/tiny/run_infer_golden.sh
index 72a8be064..cf9aa84c9 100644
--- a/examples/tiny/run_infer_golden.sh
+++ b/examples/tiny/run_infer_golden.sh
@@ -30,8 +30,8 @@ python -u infer.py \
 --num_conv_layers=2 \
 --num_rnn_layers=3 \
 --rnn_layer_size=2048 \
---alpha=2.15 \
---beta=0.35 \
+--alpha=2.5 \
+--beta=0.3 \
 --cutoff_prob=1.0 \
 --cutoff_top_n=40 \
 --use_gru=False \
diff --git a/examples/tiny/run_test.sh b/examples/tiny/run_test.sh
index d33863222..a9fe5b936 100644
--- a/examples/tiny/run_test.sh
+++ b/examples/tiny/run_test.sh
@@ -22,8 +22,8 @@ python -u test.py \
 --num_conv_layers=2 \
 --num_rnn_layers=3 \
 --rnn_layer_size=2048 \
---alpha=2.15 \
---beta=0.35 \
+--alpha=2.5 \
+--beta=0.3 \
 --cutoff_prob=1.0 \
 --cutoff_top_n=40 \
 --use_gru=False \
diff --git a/examples/tiny/run_test_golden.sh b/examples/tiny/run_test_golden.sh
index 8d3d25c5c..e87ce6eef 100644
--- a/examples/tiny/run_test_golden.sh
+++ b/examples/tiny/run_test_golden.sh
@@ -31,8 +31,8 @@ python -u test.py \
 --num_conv_layers=2 \
 --num_rnn_layers=3 \
 --rnn_layer_size=2048 \
---alpha=2.15 \
---beta=0.35 \
+--alpha=2.5 \
+--beta=0.3 \
 --cutoff_prob=1.0 \
 --cutoff_top_n=40 \
 --use_gru=False \