diff --git a/funasr/bin/asr_infer.py b/funasr/bin/asr_infer.py
index c722ebc3a..e12dbb544 100644
--- a/funasr/bin/asr_infer.py
+++ b/funasr/bin/asr_infer.py
@@ -377,6 +377,7 @@ class Speech2TextParaformer:
         self.asr_train_args = asr_train_args
         self.converter = converter
         self.tokenizer = tokenizer
+        self.cmvn_file = cmvn_file
 
         # 6. [Optional] Build hotword list from str, local file or url
         self.hotword_list = None
@@ -519,6 +520,44 @@ class Speech2TextParaformer:
         return results
 
     def generate_hotwords_list(self, hotword_list_or_file):
+        def load_seg_dict(seg_dict_file):
+            seg_dict = {}
+            assert isinstance(seg_dict_file, str)
+            with open(seg_dict_file, "r", encoding="utf8") as f:
+                lines = f.readlines()
+                for line in lines:
+                    s = line.strip().split()
+                    key = s[0]
+                    value = s[1:]
+                    seg_dict[key] = " ".join(value)
+            return seg_dict
+
+        def seg_tokenize(txt, seg_dict):
+            pattern = re.compile(r'^[\u4E00-\u9FA50-9]+$')
+            out_txt = ""
+            for word in txt:
+                word = word.lower()
+                if word in seg_dict:
+                    out_txt += seg_dict[word] + " "
+                else:
+                    if pattern.match(word):
+                        for char in word:
+                            if char in seg_dict:
+                                out_txt += seg_dict[char] + " "
+                            else:
+                                out_txt += "<unk>" + " "
+                    else:
+                        out_txt += "<unk>" + " "
+            return out_txt.strip().split()
+
+        seg_dict = None
+        if self.cmvn_file is not None:
+            model_dir = os.path.dirname(self.cmvn_file)
+            seg_dict_file = os.path.join(model_dir, 'seg_dict')
+            if os.path.exists(seg_dict_file):
+                seg_dict = load_seg_dict(seg_dict_file)
+            else:
+                seg_dict = None
         # for None
         if hotword_list_or_file is None:
             hotword_list = None
@@ -530,8 +569,11 @@ class Speech2TextParaformer:
             with codecs.open(hotword_list_or_file, 'r') as fin:
                 for line in fin.readlines():
                     hw = line.strip()
+                    hw_list = hw.split()
+                    if seg_dict is not None:
+                        hw_list = seg_tokenize(hw_list, seg_dict)
                     hotword_str_list.append(hw)
-                    hotword_list.append(self.converter.tokens2ids([i for i in hw]))
+                    hotword_list.append(self.converter.tokens2ids(hw_list))
                 hotword_list.append([self.asr_model.sos])
                 hotword_str_list.append('<s>')
             logging.info("Initialized hotword list from file: {}, hotword list: {}."
@@ -551,8 +593,11 @@ class Speech2TextParaformer:
             with codecs.open(hotword_list_or_file, 'r') as fin:
                 for line in fin.readlines():
                     hw = line.strip()
+                    hw_list = hw.split()
+                    if seg_dict is not None:
+                        hw_list = seg_tokenize(hw_list, seg_dict)
                     hotword_str_list.append(hw)
-                    hotword_list.append(self.converter.tokens2ids([i for i in hw]))
+                    hotword_list.append(self.converter.tokens2ids(hw_list))
                 hotword_list.append([self.asr_model.sos])
                 hotword_str_list.append('<s>')
             logging.info("Initialized hotword list from file: {}, hotword list: {}."
@@ -564,7 +609,10 @@ class Speech2TextParaformer:
             hotword_str_list = []
             for hw in hotword_list_or_file.strip().split():
                 hotword_str_list.append(hw)
-                hotword_list.append(self.converter.tokens2ids([i for i in hw]))
+                hw_list = hw
+                if seg_dict is not None:
+                    hw_list = seg_tokenize(hw_list, seg_dict)
+                hotword_list.append(self.converter.tokens2ids(hw_list))
             hotword_list.append([self.asr_model.sos])
             hotword_str_list.append('<s>')
             logging.info("Hotword list: {}.".format(hotword_str_list))