+简单前端

indextts/infer.py

@@ -14,7 +14,7 @@ from indextts.utils.feature_extractors import MelSpectrogramFeatures
 from indextts.utils.common import tokenize_by_CJK_char
 from indextts.vqvae.xtts_dvae import DiscreteVAE
 
-
+from indextts.utils.front import TextNormalizer
 class IndexTTS:
     def __init__(self, cfg_path='checkpoints/config.yaml', model_dir='checkpoints'):
         self.cfg = OmegaConf.load(cfg_path)
@@ -42,16 +42,20 @@ class IndexTTS:
         self.bigvgan = self.bigvgan.to(self.device)
         self.bigvgan.eval()
         print(">> bigvgan weights restored from:", self.bigvgan_path)
+        self.normalizer = TextNormalizer()
+        self.normalizer.load()
+        print(">> TextNormalizer loaded")
 
     def preprocess_text(self, text):
-        chinese_punctuation = "，。！？；：“”‘’（）【】《》"
-        english_punctuation = ",.!?;:\"\"''()[]<>"
-
-        # 创建一个映射字典
-        punctuation_map = str.maketrans(chinese_punctuation, english_punctuation)
+        # chinese_punctuation = "，。！？；：“”‘’（）【】《》"
+        # english_punctuation = ",.!?;:\"\"''()[]<>"
+        #
+        # # 创建一个映射字典
+        # punctuation_map = str.maketrans(chinese_punctuation, english_punctuation)
 
         # 使用translate方法替换标点符号
-        return text.translate(punctuation_map)
+        # return text.translate(punctuation_map)
+        return self.normalizer.infer(text)
 
     def infer(self, audio_prompt, text, output_path):
         text = self.preprocess_text(text)

indextts/utils/front.py

@@ -0,0 +1,96 @@
+# -*- coding: utf-8 -*-
+import traceback
+import os
+import sys
+import re
+import re
+
+
+
+
+class TextNormalizer:
+    def __init__(self):
+        # self.normalizer = Normalizer(cache_dir="textprocessing/tn")
+        self.zh_normalizer = None
+        self.en_normalizer = None
+        self.char_rep_map = {
+            "：": ",",
+            "；": ",",
+            ";": ",",
+            "，": ",",
+            "。": ".",
+            "！": "!",
+            "？": "?",
+            "\n": ".",
+            "·": ",",
+            "、": ",",
+            "...": "…",
+            "……": "…",
+            "$": ".",
+            "“": "'",
+            "”": "'",
+            '"': "'",
+            "‘": "'",
+            "’": "'",
+            "（": "'",
+            "）": "'",
+            "(": "'",
+            ")": "'",
+            "《": "'",
+            "》": "'",
+            "【": "'",
+            "】": "'",
+            "[": "'",
+            "]": "'",
+            "—": "-",
+            "～": "-",
+            "~": "-",
+            "「": "'",
+            "」": "'",
+            ":": ",",
+        }
+
+    def match_email(self, email):
+        # 正则表达式匹配邮箱格式：数字英文@数字英文.英文
+        pattern = r'^[a-zA-Z0-9]+@[a-zA-Z0-9]+\.[a-zA-Z]+$'
+        return re.match(pattern, email) is not None
+
+    def use_chinese(self, s):
+        has_chinese = bool(re.search(r'[\u4e00-\u9fff]', s))
+        has_digit = bool(re.search(r'\d', s))
+        has_alpha = bool(re.search(r'[a-zA-Z]', s))
+        is_email = self.match_email(s)
+        if has_chinese or not has_alpha or is_email:
+            return True
+        else:
+            return False
+
+    def load(self):
+        # print(os.path.join(os.path.dirname(os.path.abspath(__file__)), ".."))
+        # sys.path.append(model_dir)
+
+        from tn.chinese.normalizer import Normalizer as NormalizerZh
+        from tn.english.normalizer import Normalizer as NormalizerEn
+
+        self.zh_normalizer = NormalizerZh(remove_interjections=False, remove_erhua=False)
+        self.en_normalizer = NormalizerEn()
+
+    def infer(self, text):
+        pattern = re.compile("|".join(re.escape(p) for p in self.char_rep_map.keys()))
+        replaced_text = pattern.sub(lambda x: self.char_rep_map[x.group()], text)
+        if not self.zh_normalizer or not self.en_normalizer:
+            print("Error, text normalizer is not initialized !!!")
+            return ""
+        try:
+            normalizer = self.zh_normalizer if self.use_chinese(text) else self.en_normalizer
+            result = normalizer.normalize(text)
+        except Exception:
+            result = ""
+            print(traceback.format_exc())
+        return result
+
+
+if __name__ == '__main__':
+    # 测试程序
+    text_normalizer = TextNormalizer()
+    print(text_normalizer.infer("2.5平方电线"))

requirements.txt

@@ -20,4 +20,5 @@ sentencepiece
 pypinyin
 librosa
 gradio
-tqdm
+tqdm
+WeTextProcessing