mirror of
https://github.com/RVC-Boss/GPT-SoVITS.git
synced 2025-04-05 04:22:46 +08:00
311 lines
10 KiB
Python
311 lines
10 KiB
Python
import os
|
||
import pdb
|
||
import re
|
||
|
||
import cn2an
|
||
from pypinyin import lazy_pinyin, Style
|
||
from pypinyin.contrib.tone_convert import to_normal, to_finals_tone3, to_initials, to_finals
|
||
|
||
from text.symbols import punctuation
|
||
from text.tone_sandhi import ToneSandhi
|
||
from text.zh_normalization.text_normlization import TextNormalizer
|
||
|
||
normalizer = lambda x: cn2an.transform(x, "an2cn")
|
||
|
||
current_file_path = os.path.dirname(__file__)
|
||
pinyin_to_symbol_map = {
|
||
line.split("\t")[0]: line.strip().split("\t")[1]
|
||
for line in open(os.path.join(current_file_path, "opencpop-strict.txt")).readlines()
|
||
}
|
||
|
||
import jieba_fast, logging
|
||
jieba_fast.setLogLevel(logging.CRITICAL)
|
||
import jieba_fast.posseg as psg
|
||
|
||
# is_g2pw_str = os.environ.get("is_g2pw", "True")##默认开启
|
||
# is_g2pw = False#True if is_g2pw_str.lower() == 'true' else False
|
||
is_g2pw = True#True if is_g2pw_str.lower() == 'true' else False
|
||
if is_g2pw:
|
||
# print("当前使用g2pw进行拼音推理")
|
||
from text.g2pw import G2PWPinyin, correct_pronunciation
|
||
parent_directory = os.path.dirname(current_file_path)
|
||
g2pw = G2PWPinyin(model_dir="GPT_SoVITS/text/G2PWModel",model_source=os.environ.get("bert_path","GPT_SoVITS/pretrained_models/chinese-roberta-wwm-ext-large"),v_to_u=False, neutral_tone_with_five=True)
|
||
|
||
rep_map = {
|
||
"：": ",",
|
||
"；": ",",
|
||
"，": ",",
|
||
"。": ".",
|
||
"！": "!",
|
||
"？": "?",
|
||
"\n": ".",
|
||
"·": ",",
|
||
"、": ",",
|
||
"...": "…",
|
||
"$": ".",
|
||
"/": ",",
|
||
"—": "-",
|
||
"~": "…",
|
||
"～":"…",
|
||
}
|
||
|
||
tone_modifier = ToneSandhi()
|
||
|
||
|
||
def replace_punctuation(text):
|
||
text = text.replace("嗯", "恩").replace("呣", "母")
|
||
pattern = re.compile("|".join(re.escape(p) for p in rep_map.keys()))
|
||
|
||
replaced_text = pattern.sub(lambda x: rep_map[x.group()], text)
|
||
|
||
replaced_text = re.sub(
|
||
r"[^\u4e00-\u9fa5" + "".join(punctuation) + r"]+", "", replaced_text
|
||
)
|
||
|
||
return replaced_text
|
||
|
||
|
||
def g2p(text):
|
||
pattern = r"(?<=[{0}])\s*".format("".join(punctuation))
|
||
sentences = [i for i in re.split(pattern, text) if i.strip() != ""]
|
||
phones, word2ph = _g2p(sentences)
|
||
return phones, word2ph
|
||
|
||
|
||
def _get_initials_finals(word):
|
||
initials = []
|
||
finals = []
|
||
|
||
orig_initials = lazy_pinyin(word, neutral_tone_with_five=True, style=Style.INITIALS)
|
||
orig_finals = lazy_pinyin(
|
||
word, neutral_tone_with_five=True, style=Style.FINALS_TONE3
|
||
)
|
||
|
||
for c, v in zip(orig_initials, orig_finals):
|
||
initials.append(c)
|
||
finals.append(v)
|
||
return initials, finals
|
||
|
||
|
||
must_erhua = {
|
||
"小院儿", "胡同儿", "范儿", "老汉儿", "撒欢儿", "寻老礼儿", "妥妥儿", "媳妇儿"
|
||
}
|
||
not_erhua = {
|
||
"虐儿", "为儿", "护儿", "瞒儿", "救儿", "替儿", "有儿", "一儿", "我儿", "俺儿", "妻儿",
|
||
"拐儿", "聋儿", "乞儿", "患儿", "幼儿", "孤儿", "婴儿", "婴幼儿", "连体儿", "脑瘫儿",
|
||
"流浪儿", "体弱儿", "混血儿", "蜜雪儿", "舫儿", "祖儿", "美儿", "应采儿", "可儿", "侄儿",
|
||
"孙儿", "侄孙儿", "女儿", "男儿", "红孩儿", "花儿", "虫儿", "马儿", "鸟儿", "猪儿", "猫儿",
|
||
"狗儿", "少儿"
|
||
}
|
||
def _merge_erhua(initials: list[str],
|
||
finals: list[str],
|
||
word: str,
|
||
pos: str) -> list[list[str]]:
|
||
"""
|
||
Do erhub.
|
||
"""
|
||
# fix er1
|
||
for i, phn in enumerate(finals):
|
||
if i == len(finals) - 1 and word[i] == "儿" and phn == 'er1':
|
||
finals[i] = 'er2'
|
||
|
||
# 发音
|
||
if word not in must_erhua and (word in not_erhua or
|
||
pos in {"a", "j", "nr"}):
|
||
return initials, finals
|
||
|
||
# "……" 等情况直接返回
|
||
if len(finals) != len(word):
|
||
return initials, finals
|
||
|
||
assert len(finals) == len(word)
|
||
|
||
# 与前一个字发同音
|
||
new_initials = []
|
||
new_finals = []
|
||
for i, phn in enumerate(finals):
|
||
if i == len(finals) - 1 and word[i] == "儿" and phn in {
|
||
"er2", "er5"
|
||
} and word[-2:] not in not_erhua and new_finals:
|
||
phn = "er" + new_finals[-1][-1]
|
||
|
||
new_initials.append(initials[i])
|
||
new_finals.append(phn)
|
||
|
||
return new_initials, new_finals
|
||
|
||
|
||
def _g2p(segments):
|
||
phones_list = []
|
||
word2ph = []
|
||
for seg in segments:
|
||
pinyins = []
|
||
# Replace all English words in the sentence
|
||
seg = re.sub("[a-zA-Z]+", "", seg)
|
||
seg_cut = psg.lcut(seg)
|
||
seg_cut = tone_modifier.pre_merge_for_modify(seg_cut)
|
||
initials = []
|
||
finals = []
|
||
|
||
if not is_g2pw:
|
||
for word, pos in seg_cut:
|
||
if pos == "eng":
|
||
continue
|
||
sub_initials, sub_finals = _get_initials_finals(word)
|
||
sub_finals = tone_modifier.modified_tone(word, pos, sub_finals)
|
||
# 儿化
|
||
sub_initials, sub_finals = _merge_erhua(sub_initials, sub_finals, word, pos)
|
||
initials.append(sub_initials)
|
||
finals.append(sub_finals)
|
||
# assert len(sub_initials) == len(sub_finals) == len(word)
|
||
initials = sum(initials, [])
|
||
finals = sum(finals, [])
|
||
print("pypinyin结果",initials,finals)
|
||
else:
|
||
# g2pw采用整句推理
|
||
pinyins = g2pw.lazy_pinyin(seg, neutral_tone_with_five=True, style=Style.TONE3)
|
||
|
||
pre_word_length = 0
|
||
for word, pos in seg_cut:
|
||
sub_initials = []
|
||
sub_finals = []
|
||
now_word_length = pre_word_length + len(word)
|
||
|
||
if pos == 'eng':
|
||
pre_word_length = now_word_length
|
||
continue
|
||
|
||
word_pinyins = pinyins[pre_word_length:now_word_length]
|
||
|
||
# 多音字消歧
|
||
word_pinyins = correct_pronunciation(word,word_pinyins)
|
||
|
||
for pinyin in word_pinyins:
|
||
if pinyin[0].isalpha():
|
||
sub_initials.append(to_initials(pinyin))
|
||
sub_finals.append(to_finals_tone3(pinyin,neutral_tone_with_five=True))
|
||
else:
|
||
sub_initials.append(pinyin)
|
||
sub_finals.append(pinyin)
|
||
|
||
pre_word_length = now_word_length
|
||
sub_finals = tone_modifier.modified_tone(word, pos, sub_finals)
|
||
# 儿化
|
||
sub_initials, sub_finals = _merge_erhua(sub_initials, sub_finals, word, pos)
|
||
initials.append(sub_initials)
|
||
finals.append(sub_finals)
|
||
|
||
initials = sum(initials, [])
|
||
finals = sum(finals, [])
|
||
# print("g2pw结果",initials,finals)
|
||
|
||
for c, v in zip(initials, finals):
|
||
raw_pinyin = c + v
|
||
# NOTE: post process for pypinyin outputs
|
||
# we discriminate i, ii and iii
|
||
if c == v:
|
||
assert c in punctuation
|
||
phone = [c]
|
||
word2ph.append(1)
|
||
else:
|
||
v_without_tone = v[:-1]
|
||
tone = v[-1]
|
||
|
||
pinyin = c + v_without_tone
|
||
assert tone in "12345"
|
||
|
||
if c:
|
||
# 多音节
|
||
v_rep_map = {
|
||
"uei": "ui",
|
||
"iou": "iu",
|
||
"uen": "un",
|
||
}
|
||
if v_without_tone in v_rep_map.keys():
|
||
pinyin = c + v_rep_map[v_without_tone]
|
||
else:
|
||
# 单音节
|
||
pinyin_rep_map = {
|
||
"ing": "ying",
|
||
"i": "yi",
|
||
"in": "yin",
|
||
"u": "wu",
|
||
}
|
||
if pinyin in pinyin_rep_map.keys():
|
||
pinyin = pinyin_rep_map[pinyin]
|
||
else:
|
||
single_rep_map = {
|
||
"v": "yu",
|
||
"e": "e",
|
||
"i": "y",
|
||
"u": "w",
|
||
}
|
||
if pinyin[0] in single_rep_map.keys():
|
||
pinyin = single_rep_map[pinyin[0]] + pinyin[1:]
|
||
|
||
assert pinyin in pinyin_to_symbol_map.keys(), (pinyin, seg, raw_pinyin)
|
||
new_c, new_v = pinyin_to_symbol_map[pinyin].split(" ")
|
||
new_v = new_v + tone
|
||
phone = [new_c, new_v]
|
||
word2ph.append(len(phone))
|
||
|
||
phones_list += phone
|
||
return phones_list, word2ph
|
||
|
||
|
||
def replace_punctuation_with_en(text):
|
||
text = text.replace("嗯", "恩").replace("呣", "母")
|
||
pattern = re.compile("|".join(re.escape(p) for p in rep_map.keys()))
|
||
|
||
replaced_text = pattern.sub(lambda x: rep_map[x.group()], text)
|
||
|
||
replaced_text = re.sub(
|
||
r"[^\u4e00-\u9fa5A-Za-z" + "".join(punctuation) + r"]+", "", replaced_text
|
||
)
|
||
|
||
return replaced_text
|
||
|
||
def replace_consecutive_punctuation(text):
|
||
punctuations = ''.join(re.escape(p) for p in punctuation)
|
||
pattern = f'([{punctuations}])([{punctuations}])+'
|
||
result = re.sub(pattern, r'\1', text)
|
||
return result
|
||
|
||
def text_normalize(text):
|
||
# https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/paddlespeech/t2s/frontend/zh_normalization
|
||
tx = TextNormalizer()
|
||
sentences = tx.normalize(text)
|
||
dest_text = ""
|
||
for sentence in sentences:
|
||
dest_text += replace_punctuation(sentence)
|
||
|
||
# 避免重复标点引起的参考泄露
|
||
dest_text = replace_consecutive_punctuation(dest_text)
|
||
return dest_text
|
||
|
||
# 不排除英文的文本格式化
|
||
def mix_text_normalize(text):
|
||
# https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/paddlespeech/t2s/frontend/zh_normalization
|
||
tx = TextNormalizer()
|
||
sentences = tx.normalize(text)
|
||
dest_text = ""
|
||
for sentence in sentences:
|
||
dest_text += replace_punctuation_with_en(sentence)
|
||
|
||
# 避免重复标点引起的参考泄露
|
||
dest_text = replace_consecutive_punctuation(dest_text)
|
||
return dest_text
|
||
|
||
|
||
if __name__ == "__main__":
|
||
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"
|
||
text = "呣呣呣～就是…大人的鼹鼠党吧？"
|
||
text = "你好"
|
||
text = text_normalize(text)
|
||
print(g2p(text))
|
||
|
||
|
||
# # 示例用法
|
||
# text = "这是一个示例文本：,你好！这是一个测试..."
|
||
# print(g2p_paddle(text)) # 输出: 这是一个示例文本你好这是一个测试
|