support yue and ko inference

support yue and ko inference

GPT_SoVITS/inference_webui.py

@@ -205,11 +205,16 @@ def get_spepc(hps, filename):
 
 dict_language = {
     i18n("中文"): "all_zh",#全部按中文识别
+    i18n("粤语"): "all_yue",#全部按中文识别
     i18n("英文"): "en",#全部按英文识别#######不变
     i18n("日文"): "all_ja",#全部按日文识别
+    i18n("韩文"): "all_ko",#全部按韩文识别
     i18n("中英混合"): "zh",#按中英混合识别####不变
+    i18n("粤英混合"): "yue",#按粤英混合识别####不变
     i18n("日英混合"): "ja",#按日英混合识别####不变
+    i18n("韩英混合"): "ko",#按韩英混合识别####不变
     i18n("多语种混合"): "auto",#多语种启动切分识别语种
+    i18n("多语种混合(粤语)"): "auto_yue",#多语种启动切分识别语种
 }
 
 
@@ -242,13 +247,13 @@ def get_first(text):
 
 from text import chinese
 def get_phones_and_bert(text,language):
-    if language in {"en","all_zh","all_ja"}:
+    if language in {"en", "all_zh", "all_ja", "all_ko", "all_yue"}:
         language = language.replace("all_","")
         if language == "en":
             LangSegment.setfilters(["en"])
             formattext = " ".join(tmp["text"] for tmp in LangSegment.getTexts(text))
         else:
-            # 因无法区别中日文汉字,以用户输入为准
+            # 因无法区别中日韩文汉字,以用户输入为准
             formattext = text
         while "  " in formattext:
             formattext = formattext.replace("  ", " ")
@@ -259,24 +264,29 @@ def get_phones_and_bert(text,language):
                 return get_phones_and_bert(formattext,"zh")
             else:
                 phones, word2ph, norm_text = clean_text_inf(formattext, language)
-
                 bert = get_bert_feature(norm_text, word2ph).to(device)
+        elif language == "yue" and re.search(r'[A-Za-z]', formattext):
+                formattext = re.sub(r'[a-z]', lambda x: x.group(0).upper(), formattext)
+                formattext = chinese.text_normalize(formattext)
+                return get_phones_and_bert(formattext,"yue")
         else:
             phones, word2ph, norm_text = clean_text_inf(formattext, language)
             bert = torch.zeros(
                 (1024, len(phones)),
                 dtype=torch.float16 if is_half == True else torch.float32,
             ).to(device)
-    elif language in {"zh", "ja","auto"}:
+    elif language in {"zh", "ja", "ko", "yue", "auto", "auto_yue"}:
         textlist=[]
         langlist=[]
         LangSegment.setfilters(["zh","ja","en","ko"])
         if language == "auto":
             for tmp in LangSegment.getTexts(text):
-                if tmp["lang"] == "ko":
-                    langlist.append("zh")
+                langlist.append(tmp["lang"])
                 textlist.append(tmp["text"])
-                else:
+        elif language == "auto_yue":
+            for tmp in LangSegment.getTexts(text):
+                if tmp["lang"] == "zh":
+                    tmp["lang"] = "yue"
                 langlist.append(tmp["lang"])
                 textlist.append(tmp["text"])
         else:
@@ -284,7 +294,7 @@ def get_phones_and_bert(text,language):
                 if tmp["lang"] == "en":
                     langlist.append(tmp["lang"])
                 else:
-                    # 因无法区别中日文汉字,以用户输入为准
+                    # 因无法区别中日韩文汉字,以用户输入为准
                     langlist.append(language)
                 textlist.append(tmp["text"])
         print(textlist)
@@ -605,14 +615,14 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
                 gr.Markdown(i18n("使用无参考文本模式时建议使用微调的GPT，听不清参考音频说的啥(不晓得写啥)可以开，开启后无视填写的参考文本。"))
                 prompt_text = gr.Textbox(label=i18n("参考音频的文本"), value="")
             prompt_language = gr.Dropdown(
-                label=i18n("参考音频的语种"), choices=[i18n("中文"), i18n("英文"), i18n("日文"), i18n("中英混合"), i18n("日英混合"), i18n("多语种混合")], value=i18n("中文")
+                label=i18n("参考音频的语种"), choices=list(dict_language.keys()), value=i18n("中文")
             )
         gr.Markdown(value=i18n("*请填写需要合成的目标文本和语种模式"))
         with gr.Row():
             with gr.Column():
                 text = gr.Textbox(label=i18n("需要合成的文本"), value="")
                 text_language = gr.Dropdown(
-                    label=i18n("需要合成的语种"), choices=[i18n("中文"), i18n("英文"), i18n("日文"), i18n("中英混合"), i18n("日英混合"), i18n("多语种混合")], value=i18n("中文")
+                    label=i18n("需要合成的语种"), choices=list(dict_language.keys()), value=i18n("中文")
                 )
                 how_to_cut = gr.Radio(
                     label=i18n("怎么切"),

GPT_SoVITS/text/cantonese.py

@@ -6,6 +6,7 @@ import cn2an
 
 from pyjyutping import jyutping
 from text.symbols import punctuation
+from text.zh_normalization.text_normlization import TextNormalizer
 
 normalizer = lambda x: cn2an.transform(x, "an2cn")
 
@@ -106,9 +107,13 @@ def replace_punctuation(text):
 
 
 def text_normalize(text):
-    text = normalizer(text)
-    text = replace_punctuation(text)
-    return text
+    tx = TextNormalizer()
+    sentences = tx.normalize(text)
+    dest_text = ""
+    for sentence in sentences:
+        dest_text += replace_punctuation(sentence)
+    return dest_text
+
 
 punctuation_set=set(punctuation)
 def jyuping_to_initials_finals_tones(jyuping_syllables):