diff --git a/examples/ted_en_zh/st0/conf/tuning/decode.yaml b/examples/ted_en_zh/st0/conf/tuning/decode.yaml
index 7606ee35f2110bf45ca2018013a2f3a0e103e6e1..7d8d1daf191c4197fe573e3ed168b8219b7521d3 100644
--- a/examples/ted_en_zh/st0/conf/tuning/decode.yaml
+++ b/examples/ted_en_zh/st0/conf/tuning/decode.yaml
@@ -3,7 +3,7 @@ error_rate_type: char-bleu
 decoding_method: fullsentence  # 'fullsentence', 'simultaneous'
 beam_size: 10
 word_reward: 0.7
-maxlen_ratio: 0.3
+maxlenratio: 0.3
 decoding_chunk_size: -1 # decoding chunk size. Defaults to -1.
     # <0: for decoding, use full chunk.
     # >0: for decoding, use fixed chunk size as set.
diff --git a/examples/ted_en_zh/st1/conf/tuning/decode.yaml b/examples/ted_en_zh/st1/conf/tuning/decode.yaml
index 9f00dd764433ec07dfa9d5220f658f1aaa8878b7..4f10acf748667cefce581f049e42354e393e4507 100644
--- a/examples/ted_en_zh/st1/conf/tuning/decode.yaml
+++ b/examples/ted_en_zh/st1/conf/tuning/decode.yaml
@@ -4,7 +4,7 @@ error_rate_type: char-bleu
 decoding_method: fullsentence  # 'fullsentence', 'simultaneous'
 beam_size: 10
 word_reward: 0.7
-maxlen_ratio: 0.3
+maxlenratio: 0.3
 decoding_chunk_size: -1 # decoding chunk size. Defaults to -1.
     # <0: for decoding, use full chunk.
     # >0: for decoding, use fixed chunk size as set.
diff --git a/paddlespeech/s2t/exps/u2_st/model.py b/paddlespeech/s2t/exps/u2_st/model.py
index b642e93373954d75eb173f4ef8bad9262895c12c..6a32eda7717cc4077a90eb561e0f01ac8a212f51 100644
--- a/paddlespeech/s2t/exps/u2_st/model.py
+++ b/paddlespeech/s2t/exps/u2_st/model.py
@@ -408,7 +408,7 @@ class U2STTester(U2STTrainer):
             decoding_method=decode_cfg.decoding_method,
             beam_size=decode_cfg.beam_size,
             word_reward=decode_cfg.word_reward,
-            maxlen_ratio=decode_cfg.maxlen_ratio,
+            maxlenratio=decode_cfg.maxlenratio,
             decoding_chunk_size=decode_cfg.decoding_chunk_size,
             num_decoding_left_chunks=decode_cfg.num_decoding_left_chunks,
             simulate_streaming=decode_cfg.simulate_streaming)
@@ -436,7 +436,7 @@ class U2STTester(U2STTrainer):
             decoding_method=decode_cfg.decoding_method,
             beam_size=decode_cfg.beam_size,
             word_reward=decode_cfg.word_reward,
-            maxlen_ratio=decode_cfg.maxlen_ratio,
+            maxlenratio=decode_cfg.maxlenratio,
             decoding_chunk_size=decode_cfg.decoding_chunk_size,
             num_decoding_left_chunks=decode_cfg.num_decoding_left_chunks,
             simulate_streaming=decode_cfg.simulate_streaming)
diff --git a/paddlespeech/s2t/models/u2_st/u2_st.py b/paddlespeech/s2t/models/u2_st/u2_st.py
index f92268eb7b276a1bc4f6c5cde74edee24dd5ffa6..bc76de7ad1f7d1a7e0350ad3bd31da0f78bf2ea3 100644
--- a/paddlespeech/s2t/models/u2_st/u2_st.py
+++ b/paddlespeech/s2t/models/u2_st/u2_st.py
@@ -264,7 +264,7 @@ class U2STBaseModel(nn.Layer):
             speech_lengths: paddle.Tensor,
             beam_size: int=10,
             word_reward: float=0.0,
-            maxlen_ratio: float=0.5,
+            maxlenratio: float=0.5,
             decoding_chunk_size: int=-1,
             num_decoding_left_chunks: int=-1,
             simulate_streaming: bool=False, ) -> paddle.Tensor:
@@ -274,7 +274,7 @@ class U2STBaseModel(nn.Layer):
             speech_length (paddle.Tensor): (batch, )
             beam_size (int): beam size for beam search
             word_reward (float): word reward used in beam search
-            maxlen_ratio (float): max length ratio to bound the length of translated text
+            maxlenratio (float): max length ratio to bound the length of translated text
             decoding_chunk_size (int): decoding chunk for dynamic chunk
                 trained model.
                 <0: for decoding, use full chunk.
@@ -297,7 +297,7 @@ class U2STBaseModel(nn.Layer):
             num_decoding_left_chunks,
             simulate_streaming)  # (B, maxlen, encoder_dim)
 
-        maxlen = max(int(encoder_out.shape[1] * maxlen_ratio), 5)
+        maxlen = max(int(encoder_out.shape[1] * maxlenratio), 5)
 
         hyp = {"score": 0.0, "yseq": [self.sos], "cache": None}
         hyps = [hyp]
@@ -475,7 +475,7 @@ class U2STBaseModel(nn.Layer):
                decoding_method: str,
                beam_size: int,
                word_reward: float=0.0,
-               maxlen_ratio: float=0.5,
+               maxlenratio: float=0.5,
                decoding_chunk_size: int=-1,
                num_decoding_left_chunks: int=-1,
                simulate_streaming: bool=False):
@@ -511,7 +511,7 @@ class U2STBaseModel(nn.Layer):
                 feats_lengths,
                 beam_size=beam_size,
                 word_reward=word_reward,
-                maxlen_ratio=maxlen_ratio,
+                maxlenratio=maxlenratio,
                 decoding_chunk_size=decoding_chunk_size,
                 num_decoding_left_chunks=num_decoding_left_chunks,
                 simulate_streaming=simulate_streaming)