Increase scale from 20 to 50.

egs/librispeech/ASR/conformer_ctc/subsampling.py

@@ -48,12 +48,12 @@ class Conv2dSubsampling(nn.Module):
                 in_channels=1, out_channels=odim, kernel_size=3, stride=2
             ),
             nn.ReLU(),
-            ExpScale(odim, 1, 1, speed=20.0),
+            ExpScale(odim, 1, 1, speed=50.0),
             nn.Conv2d(
                 in_channels=odim, out_channels=odim, kernel_size=3, stride=2
             ),
             nn.ReLU(),
-            ExpScale(odim, 1, 1, speed=20.0),
+            ExpScale(odim, 1, 1, speed=50.0),
         )
         self.out = nn.Linear(odim * (((idim - 1) // 2 - 1) // 2), odim)
         self.out_norm = nn.LayerNorm(odim, elementwise_affine=False)

egs/librispeech/ASR/transducer_stateless/conformer.py

@@ -156,7 +156,7 @@ class ConformerEncoderLayer(nn.Module):
 
         self.feed_forward = nn.Sequential(
             nn.Linear(d_model, dim_feedforward),
-            ExpScaleSwish(dim_feedforward, speed=20.0),
+            ExpScaleSwish(dim_feedforward, speed=50.0),
             nn.Dropout(dropout),
             nn.Linear(dim_feedforward, d_model),
         )
@@ -164,7 +164,7 @@ class ConformerEncoderLayer(nn.Module):
         self.feed_forward_macaron = nn.Sequential(
             nn.Linear(d_model, dim_feedforward),
             Swish(),
-            ExpScaleSwish(dim_feedforward, speed=20.0),
+            ExpScaleSwish(dim_feedforward, speed=50.0),
             nn.Dropout(dropout),
             nn.Linear(dim_feedforward, d_model),
         )

egs/librispeech/ASR/transducer_stateless/train.py

@@ -110,7 +110,7 @@ def get_parser():
     parser.add_argument(
         "--exp-dir",
         type=str,
-        default="transducer_stateless/specaugmod_baseline_randcombine1_expscale3",
+        default="transducer_stateless/specaugmod_baseline_randcombine1_expscale4",
         help="""The experiment dir.
         It specifies the directory where all training related
         files, e.g., checkpoints, log, etc, are saved