diff --git a/egs/yesno/ASR/tdnn/asr_datamodule.py b/egs/yesno/ASR/tdnn/asr_datamodule.py
index ada8c1a6c9..dc66b217d2 100644
--- a/egs/yesno/ASR/tdnn/asr_datamodule.py
+++ b/egs/yesno/ASR/tdnn/asr_datamodule.py
@@ -26,7 +26,7 @@
     DynamicBucketingSampler,
     K2SpeechRecognitionDataset,
     PrecomputedFeatures,
-    SingleCutSampler,
+    SimpleCutSampler,
 )
 from lhotse.dataset.input_strategies import OnTheFlyFeatures
 from torch.utils.data import DataLoader
@@ -196,8 +196,8 @@ def train_dataloaders(self) -> DataLoader:
                 drop_last=True,
             )
         else:
-            logging.info("Using SingleCutSampler.")
-            train_sampler = SingleCutSampler(
+            logging.info("Using SimpleCutSampler.")
+            train_sampler = SimpleCutSampler(
                 cuts_train,
                 max_duration=self.args.max_duration,
                 shuffle=self.args.shuffle,
diff --git a/requirements-ci.txt b/requirements-ci.txt
index 21d33001cf..2433e190bc 100644
--- a/requirements-ci.txt
+++ b/requirements-ci.txt
@@ -10,6 +10,7 @@ graphviz==0.19.1
 
 -f https://download.pytorch.org/whl/cpu/torch_stable.html torch==1.13.1+cpu
 -f https://download.pytorch.org/whl/cpu/torch_stable.html torchaudio==0.13.1+cpu
+six
 
 -f https://k2-fsa.org/nightly/ k2==1.23.4.dev20230319+cpu.torch1.13.1
 
diff --git a/test/test_ali.py b/test/test_ali.py
index b107a6d80b..d607e40aa5 100755
--- a/test/test_ali.py
+++ b/test/test_ali.py
@@ -26,7 +26,7 @@
 from pathlib import Path
 
 from lhotse import CutSet, load_manifest
-from lhotse.dataset import K2SpeechRecognitionDataset, SingleCutSampler
+from lhotse.dataset import K2SpeechRecognitionDataset, SimpleCutSampler
 from lhotse.dataset.collation import collate_custom_field
 from torch.utils.data import DataLoader
 
@@ -44,7 +44,7 @@ def get_dataloader():
     cuts = load_manifest(cuts_json)
     print(cuts[0])
     cuts = cuts.with_features_path_prefix(egs_dir)
-    sampler = SingleCutSampler(
+    sampler = SimpleCutSampler(
         cuts,
         max_duration=10,
         shuffle=False,