diff --git a/deepspeech/io/collator_st.py b/deepspeech/io/collator_st.py
index 34933312148d29bd4e111ee8494e7f32f23dc89b..1be6445d703e86c0af27002d77a89685e3423e28 100644
--- a/deepspeech/io/collator_st.py
+++ b/deepspeech/io/collator_st.py
@@ -563,7 +563,7 @@ class KaldiPrePorocessedCollator(SpeechCollator):
     @property
     def feature_size(self):
         return self._feat_dim
-    
+
     @property
     def stride_ms(self):
         return self._stride_ms
diff --git a/deepspeech/utils/bleu_score.py b/deepspeech/utils/bleu_score.py
index 580fbf6124d54eb10bf0dae2ffc1c926e9619b2a..f1bf5261ee3ad67759234a1a87efd9b657324e51 100644
--- a/deepspeech/utils/bleu_score.py
+++ b/deepspeech/utils/bleu_score.py
@@ -35,6 +35,7 @@ def bleu(hypothesis, reference):
 
     return sacrebleu.corpus_bleu(hypothesis, reference)
 
+
 def char_bleu(hypothesis, reference):
     """Calculate BLEU. BLEU compares reference text and
     hypothesis text in char-level using scarebleu.
@@ -47,7 +48,8 @@ def char_bleu(hypothesis, reference):
     :type hypothesis: list[str]
     :raises ValueError: If the reference number is zero.
     """
-    hypothesis =[' '.join(list(hyp.replace(' ', ''))) for hyp in hypothesis]
-    reference = [[' '.join(list(ref_i.replace(' ', ''))) for ref_i in ref ]for ref in reference ]
+    hypothesis = [' '.join(list(hyp.replace(' ', ''))) for hyp in hypothesis]
+    reference = [[' '.join(list(ref_i.replace(' ', ''))) for ref_i in ref]
+                 for ref in reference]
 
-    return sacrebleu.corpus_bleu(hypothesis, reference)
\ No newline at end of file
+    return sacrebleu.corpus_bleu(hypothesis, reference)
diff --git a/examples/dataset/ted_en_zh/ted_en_zh.py b/examples/dataset/ted_en_zh/ted_en_zh.py
index 08f15119e7a5e20bc5508c56c55f2eff85e17cae..14bef01d2b129a04dc0aac21765321893c470ac8 100644
--- a/examples/dataset/ted_en_zh/ted_en_zh.py
+++ b/examples/dataset/ted_en_zh/ted_en_zh.py
@@ -44,9 +44,11 @@ def create_manifest(data_dir, manifest_path_prefix):
     print("Creating manifest %s ..." % manifest_path_prefix)
     json_lines = []
 
-    data_types_infos = [('train', 'train-split/train-segment', 'En-Zh/train.en-zh'), 
-                ('dev', 'test-segment/tst2010', 'En-Zh/tst2010.en-zh'), 
-                ('test', 'test-segment/tst2015', 'En-Zh/tst2015.en-zh')]
+    data_types_infos = [
+        ('train', 'train-split/train-segment', 'En-Zh/train.en-zh'),
+        ('dev', 'test-segment/tst2010', 'En-Zh/tst2010.en-zh'),
+        ('test', 'test-segment/tst2015', 'En-Zh/tst2015.en-zh')
+    ]
     for data_info in data_types_infos:
         dtype, audio_relative_dir, text_relative_path = data_info
         del json_lines[:]
@@ -63,7 +65,7 @@ def create_manifest(data_dir, manifest_path_prefix):
                 continue
             audio_id, trancription, translation = line.split('\t')
             utt = audio_id.split('.')[0]
-            
+
             audio_path = os.path.join(audio_dir, audio_id)
             if os.path.exists(audio_path):
                 if os.path.getsize(audio_path) < 30000:
diff --git a/examples/ted_en_zh/conf/transformer_joint_noam.yaml b/examples/ted_en_zh/conf/transformer_joint_noam.yaml
index ba384f8cda816e6f56f670b4448e7d1c74bb5d51..bc1f8890d9d784053ce1ed84c9cbb8675f39782b 100644
--- a/examples/ted_en_zh/conf/transformer_joint_noam.yaml
+++ b/examples/ted_en_zh/conf/transformer_joint_noam.yaml
@@ -3,8 +3,8 @@ data:
   train_manifest: data/manifest.train
   dev_manifest: data/manifest.dev
   test_manifest: data/manifest.test
-  min_input_len: 0.5  # second
-  max_input_len: 3000.0 # second
+  min_input_len: 0.05  # second
+  max_input_len: 30.0 # second
   min_output_len: 0.0 # tokens
   max_output_len: 400.0 # tokens
   min_output_input_ratio: 0.01