diff --git a/egs/multi_ja_en/ASR/local/utils/asr_datamodule.py b/egs/multi_ja_en/ASR/local/utils/asr_datamodule.py
index d82375dd7..417eb3325 100644
--- a/egs/multi_ja_en/ASR/local/utils/asr_datamodule.py
+++ b/egs/multi_ja_en/ASR/local/utils/asr_datamodule.py
@@ -302,13 +302,14 @@ class MultiDatasetAsrDataModule:
             logging.info("Loading sampler state dict")
             train_sampler.load_state_dict(sampler_state_dict)
 
-        seed = torch.randint(0, 100000, ()).item()
+        seed = 42
         worker_init_fn = _SeedWorkers(seed)
 
         train_dl = DataLoader(
             train,
             sampler=train_sampler,
             batch_size=None,
+            pin_memory=True,
             num_workers=self.args.num_workers,
             persistent_workers=True,
             worker_init_fn=worker_init_fn,
diff --git a/egs/multi_ja_en/ASR/local/utils/update_cutset_paths.py b/egs/multi_ja_en/ASR/local/utils/update_cutset_paths.py
index ce8d2805a..af0da4364 100644
--- a/egs/multi_ja_en/ASR/local/utils/update_cutset_paths.py
+++ b/egs/multi_ja_en/ASR/local/utils/update_cutset_paths.py
@@ -46,7 +46,7 @@ def update_paths(cuts: CutSet, dataset_name: str, old_feature_prefix: str) -> Cu
             logger.info(
                 f"Updating cut {cut.id}: {original_storage_path} → {new_storage_path}"
             )
-            cut.features.storage_path = str(new_storage_path)
+            new_storage_path.as_posix()
             updated_cuts.append(cut)
         else:
             logger.warning(f"Skipping update for cut {cut.id}: has no features.")