diff --git a/egs/librispeech/conformer/conf/decode_asr_transformer.yaml b/egs/librispeech/conformer/conf/decode_asr_transformer_ctc0.3_beam5.yaml
similarity index 68%
rename from egs/librispeech/conformer/conf/decode_asr_transformer.yaml
rename to egs/librispeech/conformer/conf/decode_asr_transformer_ctc0.3_beam5.yaml
index 2a0cb6fe6..8f7c75d1c 100644
--- a/egs/librispeech/conformer/conf/decode_asr_transformer.yaml
+++ b/egs/librispeech/conformer/conf/decode_asr_transformer_ctc0.3_beam5.yaml
@@ -1,6 +1,6 @@
-beam_size: 10
+beam_size: 5
 penalty: 0.0
 maxlenratio: 0.0
 minlenratio: 0.0
 ctc_weight: 0.3
-lm_weight: 0.7
+lm_weight: 0.0
diff --git a/egs/librispeech_100h/conformer/conf/decode_asr_transformer.yaml b/egs/librispeech/conformer/conf/decode_asr_transformer_ctc0.3_beam60.yaml
similarity index 68%
rename from egs/librispeech_100h/conformer/conf/decode_asr_transformer.yaml
rename to egs/librispeech/conformer/conf/decode_asr_transformer_ctc0.3_beam60.yaml
index 2a0cb6fe6..0ebb9afc9 100644
--- a/egs/librispeech_100h/conformer/conf/decode_asr_transformer.yaml
+++ b/egs/librispeech/conformer/conf/decode_asr_transformer_ctc0.3_beam60.yaml
@@ -1,6 +1,6 @@
-beam_size: 10
+beam_size: 60
 penalty: 0.0
 maxlenratio: 0.0
 minlenratio: 0.0
 ctc_weight: 0.3
-lm_weight: 0.7
+lm_weight: 0.0
diff --git a/egs/librispeech/conformer/run.sh b/egs/librispeech/conformer/run.sh
index b942dd236..b44dad38d 100755
--- a/egs/librispeech/conformer/run.sh
+++ b/egs/librispeech/conformer/run.sh
@@ -53,8 +53,8 @@ test_sets="test_clean test_other dev_clean dev_other"
 asr_config=conf/train_asr_conformer.yaml
 model_dir="baseline_$(basename "${asr_config}" .yaml)_${lang}_${token_type}_${tag}"
 
-inference_config=conf/decode_asr_transformer.yaml
-#inference_config=conf/decode_asr_transformer_beam60_ctc0.3.yaml
+inference_config=conf/decode_asr_transformer_ctc0.3_beam5yaml
+#inference_config=conf/decode_asr_transformer_ctc0.3_beam60.yaml
 inference_asr_model=valid.acc.ave_10best.pb
 
 # you can set gpu num for decoding here
diff --git a/egs/librispeech_100h/conformer/conf/decode_asr_transformer_ctc0.3_beam1.yaml b/egs/librispeech_100h/conformer/conf/decode_asr_transformer_ctc0.3_beam1.yaml
new file mode 100644
index 000000000..edc6bab0b
--- /dev/null
+++ b/egs/librispeech_100h/conformer/conf/decode_asr_transformer_ctc0.3_beam1.yaml
@@ -0,0 +1,6 @@
+beam_size: 1
+penalty: 0.0
+maxlenratio: 0.0
+minlenratio: 0.0
+ctc_weight: 0.3
+lm_weight: 0.0
diff --git a/egs/librispeech_100h/conformer/conf/decode_asr_transformer_ctc0.3_beam20.yaml b/egs/librispeech_100h/conformer/conf/decode_asr_transformer_ctc0.3_beam20.yaml
new file mode 100644
index 000000000..b2b042779
--- /dev/null
+++ b/egs/librispeech_100h/conformer/conf/decode_asr_transformer_ctc0.3_beam20.yaml
@@ -0,0 +1,6 @@
+beam_size: 20
+penalty: 0.0
+maxlenratio: 0.0
+minlenratio: 0.0
+ctc_weight: 0.3
+lm_weight: 0.0
diff --git a/egs/librispeech_100h/conformer/run.sh b/egs/librispeech_100h/conformer/run.sh
index d1a20bca2..98cb90b3a 100755
--- a/egs/librispeech_100h/conformer/run.sh
+++ b/egs/librispeech_100h/conformer/run.sh
@@ -53,8 +53,8 @@ test_sets="test_clean test_other dev_clean dev_other"
 asr_config=conf/train_asr_conformer.yaml
 model_dir="baseline_$(basename "${asr_config}" .yaml)_${lang}_${token_type}_${tag}"
 
-inference_config=conf/decode_asr_transformer.yaml
-#inference_config=conf/decode_asr_transformer_beam60_ctc0.3.yaml
+inference_config=conf/decode_asr_transformer_ctc0.3_beam1.yaml
+#inference_config=conf/decode_asr_transformer_ctc0.3_beam20.yaml
 inference_asr_model=valid.acc.ave_10best.pb
 
 # you can set gpu num for decoding here