diff --git a/egs/tedlium2/ASR/conformer_ctc3/.train.py.swp b/egs/tedlium2/ASR/conformer_ctc3/.train.py.swp
index 318e8b357..09fef4cf4 100644
Binary files a/egs/tedlium2/ASR/conformer_ctc3/.train.py.swp and b/egs/tedlium2/ASR/conformer_ctc3/.train.py.swp differ
diff --git a/egs/tedlium2/ASR/conformer_ctc3/train.py b/egs/tedlium2/ASR/conformer_ctc3/train.py
index 3b5a3b728..9ba5ca6b2 100755
--- a/egs/tedlium2/ASR/conformer_ctc3/train.py
+++ b/egs/tedlium2/ASR/conformer_ctc3/train.py
@@ -583,18 +583,39 @@ def compute_loss(
             )
 
         elif params.condition:
-            dense_fsa_vec1 = k2.DenseFsaVec(
+            dense_fsa_vec = k2.DenseFsaVec(
                 nnet_output[0],
                 supervision_segments,
                 allow_truncate=params.subsampling_factor - 1,
             )
             
-            dense_fsa_vec2 = k2.DenseFsaVec(
-                nnet_output[1][8],
-                supervision_segments,
-                allow_truncate=params.subsampling_factor - 1,
-            )
-
+            dense_fsa_vec2 = [
+                    k2.DenseFsaVec(
+                    nnet_output[1][2],
+                    supervision_segments,
+                    allow_truncate=params.subsampling_factor - 1,
+                ),
+                k2.DenseFsaVec(
+                    nnet_output[1][5],
+                    supervision_segments,
+                    allow_truncate=params.subsampling_factor - 1,
+                ),
+                k2.DenseFsaVec(
+                    nnet_output[1][8],
+                    supervision_segments,
+                    allow_truncate=params.subsampling_factor - 1,
+                ),
+                k2.DenseFsaVec(
+                    nnet_output[1][11],
+                    supervision_segments,
+                    allow_truncate=params.subsampling_factor - 1,
+                ),
+                k2.DenseFsaVec(
+                    nnet_output[1][14],
+                    supervision_segments,
+                    allow_truncate=params.subsampling_factor - 1,
+                )
+            ]
             ctc_loss = (1-params.interctc_weight)* k2.ctc_loss(
                 decoding_graph=decoding_graph,
                 dense_fsa_vec=dense_fsa_vec1,