diff --git a/egs/librispeech/ASR/tdnn_lstm_ctc/asr_datamodule.py b/egs/librispeech/ASR/tdnn_lstm_ctc/asr_datamodule.py
index 044ad4fc6..df2e48421 100644
--- a/egs/librispeech/ASR/tdnn_lstm_ctc/asr_datamodule.py
+++ b/egs/librispeech/ASR/tdnn_lstm_ctc/asr_datamodule.py
@@ -223,7 +223,7 @@ class LibriSpeechAsrDataModule:
                     num_feature_masks=2,
                     frames_mask_size=100,
                     max_frames_mask_fraction=0.2,
-                    p=0.8
+                    p=0.9
                 )
             )
         else:
@@ -518,11 +518,10 @@ class SpecAugment(torch.nn.Module):
                     mask_value=mean,
                     axis=2,
                 ).squeeze(0)
-            for _ in range(self.num_frame_masks):
-                _max_tot_mask_frames = self.max_frames_mask_fraction * features.size(0)
-                num_frame_masks = min(self.num_frame_masks, math.ceil(_max_tot_mask_frames / self.frames_mask_size))
-                max_mask_frames = min(self.frames_mask_size, _max_tot_mask_frames // num_frame_masks)
-
+            _max_tot_mask_frames = self.max_frames_mask_fraction * features.size(0)
+            num_frame_masks = min(self.num_frame_masks, math.ceil(_max_tot_mask_frames / self.frames_mask_size))
+            max_mask_frames = min(self.frames_mask_size, _max_tot_mask_frames // num_frame_masks)
+            for _ in range(num_frame_masks):
                 features = mask_along_axis(
                     features.unsqueeze(0),
                     mask_param=max_mask_frames,
diff --git a/egs/librispeech/ASR/transducer_stateless/train.py b/egs/librispeech/ASR/transducer_stateless/train.py
index 62cd1e764..4bd85ca2e 100755
--- a/egs/librispeech/ASR/transducer_stateless/train.py
+++ b/egs/librispeech/ASR/transducer_stateless/train.py
@@ -109,7 +109,7 @@ def get_parser():
     parser.add_argument(
         "--exp-dir",
         type=str,
-        default="transducer_stateless/exp-100h-relu-specaugmod_p0.8_0.2",
+        default="transducer_stateless/exp-100h-relu-specaugmod_p0.9_0.2_fix",
         help="""The experiment dir.
         It specifies the directory where all training related
         files, e.g., checkpoints, log, etc, are saved