mirror of
https://github.com/RVC-Boss/GPT-SoVITS.git
synced 2025-04-05 19:41:56 +08:00
225 lines
7.1 KiB
Python
225 lines
7.1 KiB
Python
import os
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import pdb
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import re
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import cn2an
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from pypinyin import lazy_pinyin, Style
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from text.symbols import punctuation
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from text.tone_sandhi import ToneSandhi
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from text.zh_normalization.text_normlization import TextNormalizer
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normalizer = lambda x: cn2an.transform(x, "an2cn")
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current_file_path = os.path.dirname(__file__)
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pinyin_to_symbol_map = {
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line.split("\t")[0]: line.strip().split("\t")[1]
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for line in open(os.path.join(current_file_path, "opencpop-strict.txt")).readlines()
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}
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import jieba_fast.posseg as psg
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# is_g2pw_str = os.environ.get("is_g2pw", "True")##默认开启
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# is_g2pw = False#True if is_g2pw_str.lower() == 'true' else False
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is_g2pw = True#True if is_g2pw_str.lower() == 'true' else False
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if is_g2pw:
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print("当前使用g2pw进行拼音推理")
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from text.g2pw import G2PWPinyin
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parent_directory = os.path.dirname(current_file_path)
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g2pw = G2PWPinyin(model_dir="GPT_SoVITS/text/G2PWModel",model_source="GPT_SoVITS/pretrained_models/chinese-roberta-wwm-ext-large",v_to_u=False, neutral_tone_with_five=True)
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rep_map = {
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"：": ",",
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"；": ",",
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"，": ",",
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"。": ".",
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"！": "!",
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"？": "?",
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"\n": ".",
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"·": ",",
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"、": ",",
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"...": "…",
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"$": ".",
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"/": ",",
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"—": "-",
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}
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tone_modifier = ToneSandhi()
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def replace_punctuation(text):
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text = text.replace("嗯", "恩").replace("呣", "母")
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pattern = re.compile("|".join(re.escape(p) for p in rep_map.keys()))
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replaced_text = pattern.sub(lambda x: rep_map[x.group()], text)
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replaced_text = re.sub(
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r"[^\u4e00-\u9fa5" + "".join(punctuation) + r"]+", "", replaced_text
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)
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return replaced_text
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def replace_punctuation_with_en(text):
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text = text.replace("嗯", "恩").replace("呣", "母")
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pattern = re.compile("|".join(re.escape(p) for p in rep_map.keys()))
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replaced_text = pattern.sub(lambda x: rep_map[x.group()], text)
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replaced_text = re.sub(
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r"[^\u4e00-\u9fa5A-Za-z" + "".join(punctuation) + r"]+", "", replaced_text
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)
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return replaced_text
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def replace_consecutive_punctuation(text):
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punctuations = ''.join(re.escape(p) for p in punctuation)
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pattern = f'([{punctuations}])([{punctuations}])+'
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result = re.sub(pattern, r'\1', text)
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return result
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def g2p(text):
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pattern = r"(?<=[{0}])\s*".format("".join(punctuation))
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sentences = [i for i in re.split(pattern, text) if i.strip() != ""]
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phones, word2ph = _g2p(sentences)
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return phones, word2ph
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def _get_initials_finals(word):
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initials = []
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finals = []
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if not is_g2pw:
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orig_initials = lazy_pinyin(word, neutral_tone_with_five=True, style=Style.INITIALS)
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orig_finals = lazy_pinyin(
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word, neutral_tone_with_five=True, style=Style.FINALS_TONE3
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)
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else:
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orig_initials = g2pw.lazy_pinyin(word, neutral_tone_with_five=True, style=Style.INITIALS)
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orig_finals = g2pw.lazy_pinyin(
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word, neutral_tone_with_five=True, style=Style.FINALS_TONE3
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)
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for c, v in zip(orig_initials, orig_finals):
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initials.append(c)
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finals.append(v)
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return initials, finals
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def _g2p(segments):
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phones_list = []
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word2ph = []
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for seg in segments:
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pinyins = []
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# Replace all English words in the sentence
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seg = re.sub("[a-zA-Z]+", "", seg)
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seg_cut = psg.lcut(seg)
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initials = []
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finals = []
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seg_cut = tone_modifier.pre_merge_for_modify(seg_cut)
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for word, pos in seg_cut:
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if pos == "eng":
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continue
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sub_initials, sub_finals = _get_initials_finals(word)
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sub_finals = tone_modifier.modified_tone(word, pos, sub_finals)
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initials.append(sub_initials)
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finals.append(sub_finals)
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# assert len(sub_initials) == len(sub_finals) == len(word)
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initials = sum(initials, [])
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finals = sum(finals, [])
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#
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for c, v in zip(initials, finals):
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raw_pinyin = c + v
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# NOTE: post process for pypinyin outputs
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# we discriminate i, ii and iii
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if c == v:
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assert c in punctuation
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phone = [c]
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word2ph.append(1)
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else:
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v_without_tone = v[:-1]
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tone = v[-1]
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pinyin = c + v_without_tone
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assert tone in "12345"
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if c:
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# 多音节
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v_rep_map = {
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"uei": "ui",
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"iou": "iu",
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"uen": "un",
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}
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if v_without_tone in v_rep_map.keys():
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pinyin = c + v_rep_map[v_without_tone]
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else:
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# 单音节
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pinyin_rep_map = {
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"ing": "ying",
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"i": "yi",
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"in": "yin",
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"u": "wu",
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}
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if pinyin in pinyin_rep_map.keys():
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pinyin = pinyin_rep_map[pinyin]
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else:
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single_rep_map = {
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"v": "yu",
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"e": "e",
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"i": "y",
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"u": "w",
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}
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if pinyin[0] in single_rep_map.keys():
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pinyin = single_rep_map[pinyin[0]] + pinyin[1:]
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assert pinyin in pinyin_to_symbol_map.keys(), (pinyin, seg, raw_pinyin)
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new_c, new_v = pinyin_to_symbol_map[pinyin].split(" ")
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new_v = new_v + tone
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phone = [new_c, new_v]
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word2ph.append(len(phone))
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phones_list += phone
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return phones_list, word2ph
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def text_normalize(text):
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# https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/paddlespeech/t2s/frontend/zh_normalization
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tx = TextNormalizer()
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sentences = tx.normalize(text)
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dest_text = ""
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for sentence in sentences:
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dest_text += replace_punctuation(sentence)
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# 避免重复标点引起的参考泄露
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dest_text = replace_consecutive_punctuation(dest_text)
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return dest_text
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# 不排除英文的文本格式化
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def mix_text_normalize(text):
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# https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/paddlespeech/t2s/frontend/zh_normalization
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tx = TextNormalizer()
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sentences = tx.normalize(text)
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dest_text = ""
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for sentence in sentences:
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dest_text += replace_punctuation_with_en(sentence)
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# 避免重复标点引起的参考泄露
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dest_text = replace_consecutive_punctuation(dest_text)
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return dest_text
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if __name__ == "__main__":
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text = "啊——但是《原神》是由,米哈\游自主，研发的一款全.新开放世界.冒险游戏"
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text = "呣呣呣～就是…大人的鼹鼠党吧？"
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text = "你好"
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text = text_normalize(text)
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print(g2p(text))
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# # 示例用法
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# text = "这是一个示例文本：,你好！这是一个测试..."
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# print(g2p_paddle(text)) # 输出: 这是一个示例文本你好这是一个测试
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