diff --git a/egs/librispeech/ASR/zipformer/streaming_ctc_decode.py b/egs/librispeech/ASR/zipformer/streaming_ctc_decode.py
index aa031d930..525c0f405 100755
--- a/egs/librispeech/ASR/zipformer/streaming_ctc_decode.py
+++ b/egs/librispeech/ASR/zipformer/streaming_ctc_decode.py
@@ -128,7 +128,7 @@ def get_parser():
     parser.add_argument(
         "--bpe-model",
         type=str,
-        default="data/lang_bpe_2000/bpe.model",
+        default="data/lang_bpe_500/bpe.model",
         help="Path to the BPE model",
     )
 
@@ -196,6 +196,22 @@ def get_parser():
     return parser
 
 
+def get_decoding_params() -> AttributeDict:
+    """Parameters for decoding."""
+    params = AttributeDict(
+        {
+            "feature_dim": 80,
+            "frame_shift_ms": 10,
+            "search_beam": 20,
+            "output_beam": 8,
+            "min_active_states": 30,
+            "max_active_states": 10000,
+            "use_double_scores": True,
+        }
+    )
+    return params
+
+
 def decode_one_chunk(
     params: AttributeDict,
     model: nn.Module,
@@ -463,21 +479,6 @@ def save_results(
     logging.info(s)
 
 
-def get_decoding_params() -> AttributeDict:
-    """Parameters for decoding."""
-    params = AttributeDict(
-        {
-            "frame_shift_ms": 10,
-            "search_beam": 20,
-            "output_beam": 8,
-            "min_active_states": 30,
-            "max_active_states": 10000,
-            "use_double_scores": True,
-        }
-    )
-    return params
-
-
 @torch.no_grad()
 def main():
     parser = get_parser()