diff --git a/egs/librispeech/ASR/tdnn_lstm_ctc/asr_datamodule.py b/egs/librispeech/ASR/tdnn_lstm_ctc/asr_datamodule.py
index e5fcc5893..a5ab012e3 100644
--- a/egs/librispeech/ASR/tdnn_lstm_ctc/asr_datamodule.py
+++ b/egs/librispeech/ASR/tdnn_lstm_ctc/asr_datamodule.py
@@ -220,7 +220,7 @@ class LibriSpeechAsrDataModule:
                     time_warp_factor=self.args.spec_aug_time_warp_factor,
                     num_frame_masks=10,
                     features_mask_size=27,
-                    num_feature_masks=2,
+                    num_feature_masks=10,
                     frames_mask_size=100,
                     max_frames_mask_fraction=0.4,
                 )
@@ -521,7 +521,7 @@ class SpecAugment(torch.nn.Module):
                 _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)
-                
+
                 features = mask_along_axis(
                     features.unsqueeze(0),
                     mask_param=max_mask_frames,
@@ -591,4 +591,4 @@ def time_warp(features: torch.Tensor, factor: int) -> torch.Tensor:
         mode="bicubic",
         align_corners=False,
     )
-    return torch.cat((left, right), dim=2).squeeze(0).squeeze(0)
\ No newline at end of file
+    return torch.cat((left, right), dim=2).squeeze(0).squeeze(0)