Update stopnet with more layers

layers/tacotron.py

@@ -232,7 +232,12 @@ class Decoder(nn.Module):
             [nn.GRUCell(256, 256) for _ in range(2)])
         # RNN_state -> |Linear| -> mel_spec
         self.proj_to_mel = nn.Linear(256, memory_dim * r)
-        self.stopnet = nn.Sequential(nn.Dropout(0.2), nn.Linear(memory_dim * self.r, 1), nn.Sigmoid())
+        self.stopnet = nn.Sequential(nn.Linear(memory_dim * self.r, memory_dim), 
+                                     nn.ReLU(),
+                                     nn.Linear(memory_dim, memory_dim * self.r),
+                                     nn.ReLU(), 
+                                     nn.Linear(memory_dim * self.r, 1), 
+                                     nn.Sigmoid())
 
     def forward(self, inputs, memory=None):
         """