diff --git a/paddlespeech/audiotools/data/datasets.py b/paddlespeech/audiotools/data/datasets.py
index 37daaef05..24558ce17 100644
--- a/paddlespeech/audiotools/data/datasets.py
+++ b/paddlespeech/audiotools/data/datasets.py
@@ -202,9 +202,9 @@ class AudioDataset:
 
     Examples
     --------
-    >>> from audio.audiotools.data.datasets import AudioLoader
-    >>> from audio.audiotools.data.datasets import AudioDataset
-    >>> from audio.audiotools import transforms as tfm
+    >>> from paddlespeech.audiotools.data.datasets import AudioLoader
+    >>> from paddlespeech.audiotools.data.datasets import AudioDataset
+    >>> from paddlespeech.audiotools import transforms as tfm
     >>> import numpy as np
     >>>
     >>> loaders = [
@@ -237,9 +237,9 @@ class AudioDataset:
 
     Below is an example of how one could load MUSDB multitrack data:
 
-    >>> from audio import audiotools as at
+    >>> from paddlespeech import audiotools as at
     >>> from pathlib import Path
-    >>> from audio.audiotools import transforms as tfm
+    >>> from paddlespeech.audiotools import transforms as tfm
     >>> import numpy as np
     >>> import torch
     >>>
@@ -296,9 +296,9 @@ class AudioDataset:
 
     Similarly, here's example code for loading Slakh data:
 
-    >>> from audio import audiotools as at
+    >>> from paddlespeech import audiotools as at
     >>> from pathlib import Path
-    >>> from audio.audiotools import transforms as tfm
+    >>> from paddlespeech.audiotools import transforms as tfm
     >>> import numpy as np
     >>> import torch
     >>> import glob
diff --git a/paddlespeech/audiotools/data/preprocess.py b/paddlespeech/audiotools/data/preprocess.py
index 1f609c00b..703942791 100644
--- a/paddlespeech/audiotools/data/preprocess.py
+++ b/paddlespeech/audiotools/data/preprocess.py
@@ -37,7 +37,7 @@ def create_csv(audio_files: list,
 
     You can produce a CSV file from a directory of audio files via:
 
-    >>> from audio import audiotools
+    >>> from paddlespeech import audiotools
     >>> directory = ...
     >>> audio_files = audiotools.util.find_audio(directory)
     >>> output_path = "train.csv"
diff --git a/paddlespeech/audiotools/post.py b/paddlespeech/audiotools/post.py
index f5ec208ed..a4cc51ea1 100644
--- a/paddlespeech/audiotools/post.py
+++ b/paddlespeech/audiotools/post.py
@@ -6,7 +6,7 @@ import typing
 
 import paddle
 
-from audio.audiotools.core import AudioSignal
+from paddlespeech.audiotools.core import AudioSignal
 
 
 def audio_table(
diff --git a/tests/unit/audiotools/data/test_transforms.py b/tests/unit/audiotools/data/test_transforms.py
index 67244f5b8..08c28691e 100644
--- a/tests/unit/audiotools/data/test_transforms.py
+++ b/tests/unit/audiotools/data/test_transforms.py
@@ -197,7 +197,7 @@ def test_compose_filtering():
         for _ in range(10):
             _muls = np.random.choice(muls, size=s, replace=False).tolist()
             full_mul = np.prod(_muls)
-            with transform.filter(* [str(x) for x in _muls]):
+            with transform.filter(*[str(x) for x in _muls]):
                 output = transform(signal.clone(), **kwargs)
 
             expected_output = signal.audio_data * full_mul