diff --git a/funasr/datasets/large_datasets/dataset.py b/funasr/datasets/large_datasets/dataset.py
index 33ed13ab5..748e4bf1c 100644
--- a/funasr/datasets/large_datasets/dataset.py
+++ b/funasr/datasets/large_datasets/dataset.py
@@ -135,7 +135,8 @@ class AudioDataset(IterableDataset):
                             speed = random.choice(self.speed_perturb)
                             if speed != 1.0:
                                 mat, _ = torchaudio.sox_effects.apply_effects_tensor(
-                                    mat, sampling_rate, [['speed', str(speed)], ['rate', str(sampling_rate)]])
+                                    torch.tensor(mat).view(1, -1), sampling_rate, [['speed', str(speed)], ['rate', str(sampling_rate)]])
+                                mat = mat.view(-1).numpy()
                         sample_dict[data_name] = mat
                         sample_dict["sampling_rate"] = sampling_rate
                         if data_name == "speech":
diff --git a/funasr/fileio/sound_scp.py b/funasr/fileio/sound_scp.py
index 11d582c53..fc2c3e354 100644
--- a/funasr/fileio/sound_scp.py
+++ b/funasr/fileio/sound_scp.py
@@ -8,6 +8,7 @@ import soundfile
 import librosa
 from typeguard import check_argument_types
 
+import torch
 import torchaudio
 
 from funasr.fileio.read_text import read_2column_text
@@ -62,8 +63,9 @@ class SoundScpReader(collections.abc.Mapping):
             speed = random.choice(self.speed_perturb)
             if speed != 1.0:
                 array, _ = torchaudio.sox_effects.apply_effects_tensor(
-                    array, rate,
+                    torch.tensor(array).view(1, -1), rate,
                     [['speed', str(speed)], ['rate', str(rate)]])
+            array = array.view(-1).numpy()
 
         return rate, array