diff --git a/wesep/bin/infer.py b/wesep/bin/infer.py
index f5a58c5..f606717 100644
--- a/wesep/bin/infer.py
+++ b/wesep/bin/infer.py
@@ -59,11 +59,11 @@ def infer(config="confs/conf.yaml", **kwargs):
         if not os.path.exists(save_audio_dir):
             try:
                 os.makedirs(save_audio_dir)
-                print(f"Directory '{save_audio_dir}' created successfully.")
+                print(f"Directory {save_audio_dir} created successfully.")
             except OSError as e:
-                print(f"Error creating directory '{save_audio_dir}': {e}")
+                print(f"Error creating directory {save_audio_dir}: {e}")
         else:
-            print(f"Directory '{save_audio_dir}' already exists.")
+            print(f"Directory {save_audio_dir} already exists.")
     else:
         print("Do NOT save the results in wav.")
 
diff --git a/wesep/bin/score.py b/wesep/bin/score.py
index 389073c..285c38b 100644
--- a/wesep/bin/score.py
+++ b/wesep/bin/score.py
@@ -52,12 +52,12 @@ def scoring(
 
             if not Path(dnsmos_args["primary_model"]).exists():
                 raise ValueError(
-                    f"The primary model '{dnsmos_args['primary_model']}' doesn't exist."
+                    f"The primary model {dnsmos_args['primary_model']} doesn't exist."
                     " You can download the model from https://github.com/microsoft/"
                     "DNS-Challenge/tree/master/DNSMOS/DNSMOS/sig_bak_ovr.onnx")
             if not Path(dnsmos_args["p808_model"]).exists():
                 raise ValueError(
-                    f"The P808 model '{dnsmos_args['p808_model']}' doesn't exist."
+                    f"The P808 model {dnsmos_args['p808_model']} doesn't exist."
                     " You can download the model from https://github.com/microsoft/"
                     "DNS-Challenge/tree/master/DNSMOS/DNSMOS/model_v8.onnx")
             dnsmos = DNSMOS_local(
@@ -90,7 +90,7 @@ def scoring(
             logging.warning("Using the PESQ package for evaluation")
         except ImportError:
             raise ImportError(
-                "Please install pesq and retry: pip install pesq")
+                "Please install pesq and retry: pip install pesq") from None
     else:
         pesq = None
 
diff --git a/wesep/modules/common/norm.py b/wesep/modules/common/norm.py
index ce9b69e..1001719 100644
--- a/wesep/modules/common/norm.py
+++ b/wesep/modules/common/norm.py
@@ -83,7 +83,7 @@ def select_norm(norm, dim):
 
 class FiLM(nn.Module):
     """Feature-wise Linear Modulation (FiLM) layer
-    https://github.com/HuangZiliAndy/fairseq/blob/multispk/fairseq/models/wavlm/WavLM.py#L1160
+    https://github.com/HuangZiliAndy/fairseq/blob/multispk/fairseq/models/wavlm/WavLM.py#L1160  # noqa
     """
 
     def __init__(self,
diff --git a/wesep/modules/tfgridnet/gridnet_block.py b/wesep/modules/tfgridnet/gridnet_block.py
index 790dd42..af6ccf0 100644
--- a/wesep/modules/tfgridnet/gridnet_block.py
+++ b/wesep/modules/tfgridnet/gridnet_block.py
@@ -125,12 +125,10 @@ def forward(self, x):
         B, C, old_T, old_Q = x.shape
 
         olp = self.emb_ks - self.emb_hs
-        T = (math.ceil(
-            (old_T + 2 * olp - self.emb_ks) / self.emb_hs) * self.emb_hs +
-             self.emb_ks)
-        Q = (math.ceil(
-            (old_Q + 2 * olp - self.emb_ks) / self.emb_hs) * self.emb_hs +
-             self.emb_ks)
+        T = math.ceil((old_T + 2 * olp - self.emb_ks) /
+                      self.emb_hs) * self.emb_hs + self.emb_ks
+        Q = math.ceil((old_Q + 2 * olp - self.emb_ks) /
+                      self.emb_hs) * self.emb_hs + self.emb_ks
 
         x = x.permute(0, 2, 3, 1)  # [B, old_T, old_Q, C]
         x = F.pad(
diff --git a/wesep/utils/dnsmos.py b/wesep/utils/dnsmos.py
index d1e33ec..528ae93 100644
--- a/wesep/utils/dnsmos.py
+++ b/wesep/utils/dnsmos.py
@@ -77,7 +77,7 @@ def __init__(
                 from onnx2torch import convert
             except ModuleNotFoundError:
                 raise RuntimeError(
-                    "Please install onnx2torch manually and retry!")
+                    "Please install onnx2torch manually and retry!") from None
 
             if primary_model_path is not None:
                 self.primary_model = convert(primary_model_path).eval()
@@ -99,7 +99,7 @@ def __init__(
                 import onnxruntime as ort
             except ModuleNotFoundError:
                 raise RuntimeError(
-                    "Please install onnxruntime manually and retry!")
+                    "Please install onnxruntime manually and retry!") from None
 
             prvd = ("CUDAExecutionProvider"
                     if use_gpu else "CPUExecutionProvider")
diff --git a/wesep/utils/file_utils.py b/wesep/utils/file_utils.py
index 951ae30..f82e69b 100644
--- a/wesep/utils/file_utils.py
+++ b/wesep/utils/file_utils.py
@@ -203,7 +203,7 @@ def soundfile_read(
         if prev_wav is not None:
             if prev_rate != rate:
                 raise RuntimeError(
-                    f"'{prev_wav}' and '{wav}' have mismatched sampling rate: "
+                    f"{prev_wav} and {wav} have mismatched sampling rate: "
                     f"{prev_rate} != {rate}")
 
             dim1 = arrays[0].shape[1 - concat_axis]