diff --git a/paddlespeech/t2s/models/speedyspeech/speedyspeech.py b/paddlespeech/t2s/models/speedyspeech/speedyspeech.py
index 86c84320..ed7c0b7e 100644
--- a/paddlespeech/t2s/models/speedyspeech/speedyspeech.py
+++ b/paddlespeech/t2s/models/speedyspeech/speedyspeech.py
@@ -29,7 +29,7 @@ class ResidualBlock(nn.Layer):
                  n: int=2):
         """SpeedySpeech encoder module.
         Args:
-            channels (int, optional): Feature size of the resiaudl output(and also the input).
+            channels (int, optional): Feature size of the residual output(and also the input).
             kernel_size (int, optional): Kernel size of the 1D convolution.
             dilation (int, optional): Dilation of the 1D convolution.
             n (int): Number of blocks.
diff --git a/paddlespeech/t2s/modules/residual_block.py b/paddlespeech/t2s/modules/residual_block.py
index efbfce27..5965a720 100644
--- a/paddlespeech/t2s/modules/residual_block.py
+++ b/paddlespeech/t2s/modules/residual_block.py
@@ -30,7 +30,7 @@ class WaveNetResidualBlock(nn.Layer):
 
     Args:
         kernel_size (int, optional): Kernel size of the 1D convolution, by default 3
-        residual_channels (int, optional): Feature size of the resiaudl output(and also the input), by default 64
+        residual_channels (int, optional): Feature size of the residual output(and also the input), by default 64
         gate_channels (int, optional): Output feature size of the 1D convolution, by default 128
         skip_channels (int, optional): Feature size of the skip output, by default 64
         aux_channels (int, optional): Feature size of the auxiliary input (e.g. spectrogram), by default 80