diff --git a/egs/librispeech/ASR/tdnn_lstm_ctc/asr_datamodule.py b/egs/librispeech/ASR/tdnn_lstm_ctc/asr_datamodule.py
index 8790b21e7..8dd1459ca 100644
--- a/egs/librispeech/ASR/tdnn_lstm_ctc/asr_datamodule.py
+++ b/egs/librispeech/ASR/tdnn_lstm_ctc/asr_datamodule.py
@@ -41,6 +41,14 @@ from torch.utils.data import DataLoader
 from icefall.utils import str2bool
 
 
+class _SeedWorkers:
+    def __init__(self, seed: int):
+        self.seed = seed
+
+    def __call__(self, worker_id: int):
+        fix_random_seed(self.seed + worker_id)
+
+
 class LibriSpeechAsrDataModule:
     """
     DataModule for k2 ASR experiments.
@@ -306,9 +314,7 @@ class LibriSpeechAsrDataModule:
         # 'seed' is derived from the current random state, which will have
         # previously been set in the main process.
         seed = torch.randint(0, 100000, ()).item()
-
-        def worker_init_fn(worker_id: int):
-            fix_random_seed(seed + worker_id)
+        worker_init_fn = _SeedWorkers(seed)
 
         train_dl = DataLoader(
             train,
diff --git a/egs/librispeech/ASR/transducer_stateless_multi_datasets/asr_datamodule.py b/egs/librispeech/ASR/transducer_stateless_multi_datasets/asr_datamodule.py
index 2ce8d8752..c6cf739fb 100644
--- a/egs/librispeech/ASR/transducer_stateless_multi_datasets/asr_datamodule.py
+++ b/egs/librispeech/ASR/transducer_stateless_multi_datasets/asr_datamodule.py
@@ -41,6 +41,14 @@ from torch.utils.data import DataLoader
 from icefall.utils import str2bool
 
 
+class _SeedWorkers:
+    def __init__(self, seed: int):
+        self.seed = seed
+
+    def __call__(self, worker_id: int):
+        fix_random_seed(self.seed + worker_id)
+
+
 class AsrDataModule:
     def __init__(self, args: argparse.Namespace):
         self.args = args
@@ -259,9 +267,7 @@ class AsrDataModule:
         # 'seed' is derived from the current random state, which will have
         # previously been set in the main process.
         seed = torch.randint(0, 100000, ()).item()
-
-        def worker_init_fn(worker_id: int):
-            fix_random_seed(seed + worker_id)
+        worker_init_fn = _SeedWorkers(seed)
 
         train_dl = DataLoader(
             train,