diff --git a/espnet2/enh/loss/criterions/tf_domain.py b/espnet2/enh/loss/criterions/tf_domain.py
index 6e20dede475..6a8647fe698 100644
--- a/espnet2/enh/loss/criterions/tf_domain.py
+++ b/espnet2/enh/loss/criterions/tf_domain.py
@@ -342,6 +342,7 @@ def name(self) -> str:
 
     def forward(self, ref, inf) -> torch.Tensor:
         """time-frequency absolute coherence loss.
+        
         Reference:
             Independent Vector Analysis with Deep Neural Network Source Priors;
             Li et al 2020; https://arxiv.org/abs/2008.11273
@@ -433,4 +434,4 @@ def forward(self, ref, inf) -> torch.Tensor:
                 acc = acc.mean(dim=[1, 2])
             self.stats = {"acc": acc.cpu() * 100}
 
-        return loss
\ No newline at end of file
+        return loss
diff --git a/espnet2/enh/separator/dpcl_e2e_separator.py b/espnet2/enh/separator/dpcl_e2e_separator.py
index 311fec4daa3..35264c5c137 100644
--- a/espnet2/enh/separator/dpcl_e2e_separator.py
+++ b/espnet2/enh/separator/dpcl_e2e_separator.py
@@ -25,7 +25,7 @@ def __init__(
         dropout: float = 0.0,
         alpha: float = 5.0,
         max_iteration: int = 500,
-        threshold: float = 1.0e-05
+        threshold: float = 1.0e-05,
     ):
         """Deep Clustering End-to-End Separator