TakwayDisplayPlatform/utils/bert_vits2/text/chinese.py

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import os
import re
from pypinyin import lazy_pinyin, Style
from ..text.symbols import punctuation
from ..text.tone_sandhi import ToneSandhi
try:
from tn.chinese.normalizer import Normalizer
normalizer = Normalizer().normalize
except ImportError:
import cn2an
print("tn.chinese.normalizer not found, use cn2an normalizer")
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.posseg as psg
rep_map = {
"": ",",
"": ",",
"": ",",
"": ".",
"": "!",
"": "?",
"\n": ".",
"·": ",",
"": ",",
"...": "",
"$": ".",
"": "'",
"": "'",
'"': "'",
"": "'",
"": "'",
"": "'",
"": "'",
"(": "'",
")": "'",
"": "'",
"": "'",
"": "'",
"": "'",
"[": "'",
"]": "'",
"": "-",
"": "-",
"~": "-",
"": "'",
"": "'",
}
tone_modifier = ToneSandhi()
def replace_punctuation(text):
text = text.replace("", "").replace("", "")
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, tones, word2ph = _g2p(sentences)
assert sum(word2ph) == len(phones)
assert len(word2ph) == len(text) # Sometimes it will crash,you can add a try-catch.
phones = ["_"] + phones + ["_"]
tones = [0] + tones + [0]
word2ph = [1] + word2ph + [1]
return phones, tones, 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
def _g2p(segments):
phones_list = []
tones_list = []
word2ph = []
for seg in segments:
# Replace all English words in the sentence
seg = re.sub("[a-zA-Z]+", "", seg)
seg_cut = psg.lcut(seg)
initials = []
finals = []
seg_cut = tone_modifier.pre_merge_for_modify(seg_cut)
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)
initials.append(sub_initials)
finals.append(sub_finals)
# assert len(sub_initials) == len(sub_finals) == len(word)
initials = sum(initials, [])
finals = sum(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]
tone = "0"
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)
phone = pinyin_to_symbol_map[pinyin].split(" ")
word2ph.append(len(phone))
phones_list += phone
tones_list += [int(tone)] * len(phone)
return phones_list, tones_list, word2ph
def text_normalize(text):
text = normalizer(text)
text = replace_punctuation(text)
return text
def get_bert_feature(text, word2ph):
from text import chinese_bert
return chinese_bert.get_bert_feature(text, word2ph)
if __name__ == "__main__":
from text.chinese_bert import get_bert_feature
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 = text_normalize(text)
print(text)
phones, tones, word2ph = g2p(text)
bert = get_bert_feature(text, word2ph)
print(phones, tones, word2ph, bert.shape)
# # 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