diff --git a/egs/commonvoice/ASR/prepare.sh b/egs/commonvoice/ASR/prepare.sh
index 7a583f9c8..3946908c6 100755
--- a/egs/commonvoice/ASR/prepare.sh
+++ b/egs/commonvoice/ASR/prepare.sh
@@ -63,6 +63,14 @@ log() {
 
 log "dl_dir: $dl_dir"
 
+if ! command -v ffmpeg &> /dev/null; then
+  echo "This dataset requires ffmpeg"
+  echo "Please install ffmpeg first"
+  echo ""
+  echo "  sudo apt-get install ffmpeg"
+  exit 1
+fi
+
 if [ $stage -le 0 ] && [ $stop_stage -ge 0 ]; then
   log "Stage 0: Download data"
 
diff --git a/egs/librispeech/ASR/pruned_transducer_stateless8/train.py b/egs/librispeech/ASR/pruned_transducer_stateless8/train.py
index 41adda012..bee414292 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless8/train.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless8/train.py
@@ -1127,7 +1127,16 @@ def run(rank, world_size, args):
         logging.info("Using DDP")
         model = DDP(model, device_ids=[rank], find_unused_parameters=True)
 
-    optimizer = ScaledAdam(model.parameters(), lr=params.base_lr, clipping_scale=2.0)
+    parameters_names = []
+    parameters_names.append(
+        [name_param_pair[0] for name_param_pair in model.named_parameters()]
+    )
+    optimizer = ScaledAdam(
+        model.parameters(),
+        lr=params.base_lr,
+        clipping_scale=2.0,
+        parameters_names=parameters_names,
+    )
 
     scheduler = Eden(optimizer, params.lr_batches, params.lr_epochs)