diff --git a/modules/tts/syntaspeech/syntactic_graph_encoder.py b/modules/tts/syntaspeech/syntactic_graph_encoder.py
index 0260b31..134d803 100644
--- a/modules/tts/syntaspeech/syntactic_graph_encoder.py
+++ b/modules/tts/syntaspeech/syntactic_graph_encoder.py
@@ -117,7 +117,7 @@ def word_forward(self, graph_lst, word_encoding, etypes_lst):
             gcc2_out = self.ggc_2(batched_graph, gcc2_out, batched_etypes)
         if self.skip_connect:
             assert self.in_dim == self.hid_dim and self.hid_dim == self.out_dim
-            gcc2_out = inp + gcc1_out + gcc1_out
+            gcc2_out = inp + gcc1_out + gcc2_out
 
         word_len = torch.tensor([g.num_nodes() for g in graph_lst]).reshape([-1])
         max_len = max(word_len)
@@ -150,7 +150,7 @@ def forward(self, graph_lst, ph_encoding, ph2word, etypes_lst, return_word_encod
         gcc1_out = self.ggc_1(batched_graph, inp, batched_etypes)
         gcc2_out = self.ggc_2(batched_graph, gcc1_out, batched_etypes)  # [num_nodes_in_batch, hin]
         # skip connection 
-        gcc2_out = inp + gcc1_out + gcc1_out # [n_nodes, hid]
+        gcc2_out = inp + gcc1_out + gcc2_out # [n_nodes, hid]
         
         output = torch.zeros([bs * t_w, hid]).to(gcc2_out.device)
         output[has_word_row_idx] = gcc2_out