diff --git a/TTS/bin/compute_statistics.py b/TTS/bin/compute_statistics.py
index f333e55b..d87ecf95 100755
--- a/TTS/bin/compute_statistics.py
+++ b/TTS/bin/compute_statistics.py
@@ -10,19 +10,22 @@ from tqdm import tqdm
 
 from TTS.tts.datasets.preprocess import load_meta_data
 from TTS.utils.audio import AudioProcessor
-from TTS.utils.io import load_config
+
+# from TTS.utils.io import load_config
+from TTS.utils.config import load_config
 
 
 def main():
     """Run preprocessing process."""
-    parser = argparse.ArgumentParser(
-        description="Compute mean and variance of spectrogtram features.")
-    parser.add_argument("config_path", type=str,
-                        help="TTS config file path to define audio processin parameters.")
-    parser.add_argument("out_path", type=str,
-                        help="save path (directory and filename).")
-    parser.add_argument("--data_path", type=str, required=False,
-                        help="folder including the target set of wavs overriding dataset config.")
+    parser = argparse.ArgumentParser(description="Compute mean and variance of spectrogtram features.")
+    parser.add_argument("config_path", type=str, help="TTS config file path to define audio processin parameters.")
+    parser.add_argument("out_path", type=str, help="save path (directory and filename).")
+    parser.add_argument(
+        "--data_path",
+        type=str,
+        required=False,
+        help="folder including the target set of wavs overriding dataset config.",
+    )
     args, overrides = parser.parse_known_args()
 
     CONFIG = load_config(args.config_path)
@@ -37,7 +40,7 @@ def main():
 
     # load the meta data of target dataset
     if args.data_path:
-        dataset_items = glob.glob(os.path.join(args.data_path, '**', '*.wav'), recursive=True)
+        dataset_items = glob.glob(os.path.join(args.data_path, "**", "*.wav"), recursive=True)
     else:
         dataset_items = load_meta_data(CONFIG.dataset_config)[0]  # take only train data
     print(f" > There are {len(dataset_items)} files.")
@@ -85,7 +88,7 @@ def main():
     del CONFIG.audio.min_level_db
     del CONFIG.audio.symmetric_norm
     del CONFIG.audio.clip_norm
-    stats['audio_config'] = CONFIG.audio.to_dict()
+    stats["audio_config"] = CONFIG.audio.to_dict()
     np.save(output_file_path, stats, allow_pickle=True)
     print(f" > stats saved to {output_file_path}")