diff --git a/egs/wenetspeech/ASR/local/compute_fbank_wenetspeech_splits.py b/egs/wenetspeech/ASR/local/compute_fbank_wenetspeech_splits.py
index e2ae10883..fdc8e4a06 100755
--- a/egs/wenetspeech/ASR/local/compute_fbank_wenetspeech_splits.py
+++ b/egs/wenetspeech/ASR/local/compute_fbank_wenetspeech_splits.py
@@ -137,44 +137,44 @@ def compute_fbank_wenetspeech_splits(args):
 
     set_audio_duration_mismatch_tolerance(0.01)  # 10ms tolerance
     set_caching_enabled(False)
-    with get_executor() as ex:  # Initialize the executor only once.
-        for i in range(start, stop):
-            idx = f"{i + 1}".zfill(num_digits)
-            logging.info(f"Processing {idx}/{num_splits}")
-            
-            cuts_path = output_dir / f"cuts_{subset}.{idx}.jsonl.gz"
-            if cuts_path.is_file():
-                logging.info(f"{cuts_path} exists - skipping")
-                continue
+    #with get_executor() as ex:  # Initialize the executor only once.
+    for i in range(start, stop):
+        idx = f"{i + 1}".zfill(num_digits)
+        logging.info(f"Processing {idx}/{num_splits}")
+        
+        cuts_path = output_dir / f"cuts_{subset}.{idx}.jsonl.gz"
+        if cuts_path.is_file():
+            logging.info(f"{cuts_path} exists - skipping")
+            continue
 
-            raw_cuts_path = output_dir / f"cuts_{subset}_raw.{idx}.jsonl.gz"
+        raw_cuts_path = output_dir / f"cuts_{subset}_raw.{idx}.jsonl.gz"
 
-            logging.info(f"Loading {raw_cuts_path}")
-            cut_set = CutSet.from_file(raw_cuts_path)
+        logging.info(f"Loading {raw_cuts_path}")
+        cut_set = CutSet.from_file(raw_cuts_path)
 
-            logging.info("Splitting cuts into smaller chunks.")
-            cut_set = cut_set.trim_to_supervisions(
-                keep_overlapping=False, min_duration=None
-            )
+        logging.info("Splitting cuts into smaller chunks.")
+        cut_set = cut_set.trim_to_supervisions(
+            keep_overlapping=False, min_duration=None
+        )
 
-            logging.info("Computing features")
-            # cut_set = cut_set.compute_and_store_features_batch(
-            #     extractor=extractor,
-            #     storage_path=f"{output_dir}/feats_{subset}_{idx}",
-            #     num_workers=args.num_workers,
-            #     batch_duration=args.batch_duration,
-            #     storage_type=LilcomChunkyWriter,
-            #     overwrite=True,
-            # )
-            cut_set = cut_set.compute_and_store_features(
-                extractor=extractor,
-                storage_path=f"{output_dir}/feats_{subset}_{idx}",
-                num_jobs=args.num_workers,
-                executor=ex,
-                storage_type=LilcomChunkyWriter,
-            )
-            logging.info(f"Saving to {cuts_path}")
-            cut_set.to_file(cuts_path)
+        logging.info("Computing features")
+        cut_set = cut_set.compute_and_store_features_batch(
+            extractor=extractor,
+            storage_path=f"{output_dir}/feats_{subset}_{idx}",
+            num_workers=args.num_workers,
+            batch_duration=args.batch_duration,
+            storage_type=LilcomChunkyWriter,
+            overwrite=True,
+        )
+        # cut_set = cut_set.compute_and_store_features(
+        #     extractor=extractor,
+        #     storage_path=f"{output_dir}/feats_{subset}_{idx}",
+        #     num_jobs=args.num_workers,
+        #     executor=ex,
+        #     storage_type=LilcomChunkyWriter,
+        # )
+        logging.info(f"Saving to {cuts_path}")
+        cut_set.to_file(cuts_path)
 
 
 def main():