diff --git a/egs/librispeech/ASR/conformer_ctc2/.decode.py.swp b/egs/librispeech/ASR/conformer_ctc2/.decode.py.swp
index 0cffc404f..d9393c931 100644
Binary files a/egs/librispeech/ASR/conformer_ctc2/.decode.py.swp and b/egs/librispeech/ASR/conformer_ctc2/.decode.py.swp differ
diff --git a/egs/librispeech/ASR/conformer_ctc2/decode.py b/egs/librispeech/ASR/conformer_ctc2/decode.py
index 73cf62b76..1851c057a 100755
--- a/egs/librispeech/ASR/conformer_ctc2/decode.py
+++ b/egs/librispeech/ASR/conformer_ctc2/decode.py
@@ -225,6 +225,29 @@ def get_params() -> AttributeDict:
     return params
 
 
+def greedy_search(
+    ctc_probs: torch.Tensor,
+    mask: torch.Tensor,
+) -> List[List[int]]:
+    """Apply CTC greedy search
+    Args:
+      ctc_probs (torch.Tensor): (batch, max_len, num_bpe)
+      mask (torch.Tensor): (batch, max_len)
+    Returns:
+      best path result
+    """
+
+    _, max_index = ctc_probs.max(2)  # (B, maxlen)
+    max_index = max_index.masked_fill_(mask, 0)  # (B, maxlen)
+
+    ret_hyps = []
+    for hyp in max_index:
+        hyp = torch.unique_consecutive(hyp)
+        hyp = hyp[hyp > 0].tolist()
+        ret_hyps.append(hyp)
+    return ret_hyps
+
+
 def ctc_greedy_search(
     ctc_probs: torch.Tensor,
     mask: torch.Tensor,