diff --git a/nemo/collections/common/data/lhotse/dataloader.py b/nemo/collections/common/data/lhotse/dataloader.py
index 01bf51b0e2c63..5533b50922f8f 100644
--- a/nemo/collections/common/data/lhotse/dataloader.py
+++ b/nemo/collections/common/data/lhotse/dataloader.py
@@ -12,6 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 import os
+import random
 import warnings
 from dataclasses import dataclass
 from functools import partial
@@ -319,6 +320,7 @@ def get_lhotse_dataloader_from_config(
             ReverbWithImpulseResponse(
                 rir_recordings=RecordingSet.from_file(config.rir_path) if config.rir_path is not None else None,
                 p=config.rir_prob,
+                randgen=random.Random(seed),
             )
         )
 
diff --git a/tests/collections/common/test_lhotse_dataloading.py b/tests/collections/common/test_lhotse_dataloading.py
index 111c00df392ac..31a8d332814e2 100644
--- a/tests/collections/common/test_lhotse_dataloading.py
+++ b/tests/collections/common/test_lhotse_dataloading.py
@@ -32,10 +32,6 @@
 from nemo.collections.common.data.lhotse.text_adapters import TextExample
 from nemo.collections.common.tokenizers.sentencepiece_tokenizer import SentencePieceTokenizer, create_spt_model
 
-requires_torchaudio = pytest.mark.skipif(
-    not lhotse.utils.is_torchaudio_available(), reason="Lhotse Shar format support requires torchaudio."
-)
-
 
 @pytest.fixture(scope="session")
 def cutset_path(tmp_path_factory) -> Path:
@@ -348,7 +344,6 @@ def test_dataloader_from_lhotse_cuts_channel_selector(mc_cutset_path: Path):
                 assert torch.equal(b_cs["audio"], batches[n]["audio"][:, channel_selector, :])
 
 
-@requires_torchaudio
 def test_dataloader_from_lhotse_shar_cuts(cutset_shar_path: Path):
     config = OmegaConf.create(
         {
@@ -682,7 +677,6 @@ def test_dataloader_from_tarred_nemo_manifest_concat(nemo_tarred_manifest_path:
     torch.testing.assert_close(b["audio_lens"], expected_audio_lens)
 
 
-@requires_torchaudio
 def test_dataloader_from_lhotse_shar_cuts_combine_datasets_unweighted(
     cutset_shar_path: Path, cutset_shar_path_other: Path
 ):
@@ -723,19 +717,18 @@ def test_dataloader_from_lhotse_shar_cuts_combine_datasets_unweighted(
     assert len([cid for cid in b["ids"] if cid.startswith("other")]) == 2  # dataset 2
 
     b = batches[1]
-    assert len([cid for cid in b["ids"] if cid.startswith("dummy")]) == 2  # dataset 1
-    assert len([cid for cid in b["ids"] if cid.startswith("other")]) == 1  # dataset 2
+    assert len([cid for cid in b["ids"] if cid.startswith("dummy")]) == 0  # dataset 1
+    assert len([cid for cid in b["ids"] if cid.startswith("other")]) == 3  # dataset 2
 
     b = batches[2]
-    assert len([cid for cid in b["ids"] if cid.startswith("dummy")]) == 1  # dataset 1
-    assert len([cid for cid in b["ids"] if cid.startswith("other")]) == 2  # dataset 2
+    assert len([cid for cid in b["ids"] if cid.startswith("dummy")]) == 2  # dataset 1
+    assert len([cid for cid in b["ids"] if cid.startswith("other")]) == 1  # dataset 2
 
     b = batches[3]
     assert len([cid for cid in b["ids"] if cid.startswith("dummy")]) == 1  # dataset 1
     assert len([cid for cid in b["ids"] if cid.startswith("other")]) == 2  # dataset 2
 
 
-@requires_torchaudio
 def test_dataloader_from_lhotse_shar_cuts_combine_datasets_weighted(
     cutset_shar_path: Path, cutset_shar_path_other: Path
 ):
@@ -776,12 +769,12 @@ def test_dataloader_from_lhotse_shar_cuts_combine_datasets_weighted(
     assert len([cid for cid in b["ids"] if cid.startswith("other")]) == 0  # dataset 2
 
     b = batches[1]
-    assert len([cid for cid in b["ids"] if cid.startswith("dummy")]) == 3  # dataset 1
-    assert len([cid for cid in b["ids"] if cid.startswith("other")]) == 0  # dataset 2
+    assert len([cid for cid in b["ids"] if cid.startswith("dummy")]) == 1  # dataset 1
+    assert len([cid for cid in b["ids"] if cid.startswith("other")]) == 2  # dataset 2
 
     b = batches[2]
-    assert len([cid for cid in b["ids"] if cid.startswith("dummy")]) == 3  # dataset 1
-    assert len([cid for cid in b["ids"] if cid.startswith("other")]) == 0  # dataset 2
+    assert len([cid for cid in b["ids"] if cid.startswith("dummy")]) == 2  # dataset 1
+    assert len([cid for cid in b["ids"] if cid.startswith("other")]) == 1  # dataset 2
 
     b = batches[3]
     assert len([cid for cid in b["ids"] if cid.startswith("dummy")]) == 3  # dataset 1
@@ -792,8 +785,8 @@ def test_dataloader_from_lhotse_shar_cuts_combine_datasets_weighted(
     assert len([cid for cid in b["ids"] if cid.startswith("other")]) == 0  # dataset 2
 
     b = batches[5]
-    assert len([cid for cid in b["ids"] if cid.startswith("dummy")]) == 1  # dataset 1
-    assert len([cid for cid in b["ids"] if cid.startswith("other")]) == 2  # dataset 2
+    assert len([cid for cid in b["ids"] if cid.startswith("dummy")]) == 3  # dataset 1
+    assert len([cid for cid in b["ids"] if cid.startswith("other")]) == 0  # dataset 2
 
 
 class TextDataset(torch.utils.data.Dataset):