diff --git a/paddlespeech/cli/tts/infer.py b/paddlespeech/cli/tts/infer.py
index c8d5447e..86ff4fe0 100644
--- a/paddlespeech/cli/tts/infer.py
+++ b/paddlespeech/cli/tts/infer.py
@@ -226,7 +226,7 @@ class TTSExecutor(BaseExecutor):
             self.am_ckpt = os.path.abspath(am_ckpt)
             self.am_stat = os.path.abspath(am_stat)
             self.phones_dict = os.path.abspath(phones_dict)
-            self.am_res_path = os.path.dirname(os.path.abspath(self.am_config))
+            self.am_res_path = os.path.dirname(self.am_config)
 
         # for speedyspeech
         self.tones_dict = None
@@ -354,7 +354,7 @@ class TTSExecutor(BaseExecutor):
         if use_pretrained_am:
             self.am_res_path = self.task_resource.res_dir
             self.am_ckpt = os.path.join(self.am_res_path,
-                                        self.task_resource.res_dict['ckpt'][0])
+                                        self.task_resource.res_dict['ckpt'])
             # must have phones_dict in acoustic
             self.phones_dict = os.path.join(
                 self.am_res_path, self.task_resource.res_dict['phones_dict'])
@@ -362,9 +362,9 @@ class TTSExecutor(BaseExecutor):
             logger.debug(self.am_res_path)
             logger.debug(self.am_ckpt)
         else:
-            self.am_ckpt = os.path.abspath(am_ckpt[0])
+            self.am_ckpt = os.path.abspath(am_ckpt)
             self.phones_dict = os.path.abspath(phones_dict)
-            self.am_res_path = os.path.dirname(os.path.abspath(self.am_ckpt))
+            self.am_res_path = os.path.dirname(self.am_ckpt)
             self.am_fs = fs
 
         # for speedyspeech
diff --git a/paddlespeech/resource/pretrained_models.py b/paddlespeech/resource/pretrained_models.py
index 43d63925..bfe2bc7e 100644
--- a/paddlespeech/resource/pretrained_models.py
+++ b/paddlespeech/resource/pretrained_models.py
@@ -1095,7 +1095,8 @@ tts_onnx_pretrained_models = {
             'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/speedyspeech/speedyspeech_csmsc_onnx_0.2.0.zip',
             'md5':
             '3e9c45af9ef70675fc1968ed5074fc88',
-            'ckpt': ['speedyspeech_csmsc.onnx'],
+            'ckpt':
+            'speedyspeech_csmsc.onnx',
             'phones_dict':
             'phone_id_map.txt',
             'tones_dict':
@@ -1111,7 +1112,8 @@ tts_onnx_pretrained_models = {
             'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_csmsc_onnx_0.2.0.zip',
             'md5':
             'fd3ad38d83273ad51f0ea4f4abf3ab4e',
-            'ckpt': ['fastspeech2_csmsc.onnx'],
+            'ckpt':
+            'fastspeech2_csmsc.onnx',
             'phones_dict':
             'phone_id_map.txt',
             'sample_rate':
@@ -1124,7 +1126,8 @@ tts_onnx_pretrained_models = {
             'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_ljspeech_onnx_1.1.0.zip',
             'md5':
             '00754307636a48c972a5f3e65cda3d18',
-            'ckpt': ['fastspeech2_ljspeech.onnx'],
+            'ckpt':
+            'fastspeech2_ljspeech.onnx',
             'phones_dict':
             'phone_id_map.txt',
             'sample_rate':
@@ -1137,7 +1140,8 @@ tts_onnx_pretrained_models = {
             'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_aishell3_onnx_1.1.0.zip',
             'md5':
             'a1d6ee21de897ce394f5469e2bb4df0d',
-            'ckpt': ['fastspeech2_aishell3.onnx'],
+            'ckpt':
+            'fastspeech2_aishell3.onnx',
             'phones_dict':
             'phone_id_map.txt',
             'speaker_dict':
@@ -1152,7 +1156,8 @@ tts_onnx_pretrained_models = {
             'https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_vctk_onnx_1.1.0.zip',
             'md5':
             'd9c3a9b02204a2070504dd99f5f959bf',
-            'ckpt': ['fastspeech2_vctk.onnx'],
+            'ckpt':
+            'fastspeech2_vctk.onnx',
             'phones_dict':
             'phone_id_map.txt',
             'speaker_dict':