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sbv2-v2/style_bert_vits2/nlp/chinese/normalizer.py
tsukumi df68771651 Refactor: split style_bert_vits2.nlp.chinese package
Configured so that the same public function is exported from the module with the same name for each language.
2024-03-08 09:04:40 +00:00

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import re
import cn2an
from style_bert_vits2.nlp.symbols import PUNCTUATIONS
def normalize_text(text: str) -> str:
numbers = re.findall(r"\d+(?:\.?\d+)?", text)
for number in numbers:
text = text.replace(number, cn2an.an2cn(number), 1)
text = replace_punctuation(text)
return text
def replace_punctuation(text: str) -> str:
REPLACE_MAP = {
"": ",",
"": ",",
"": ",",
"": ".",
"": "!",
"": "?",
"\n": ".",
"·": ",",
"": ",",
"...": "",
"$": ".",
"": "'",
"": "'",
'"': "'",
"": "'",
"": "'",
"": "'",
"": "'",
"(": "'",
")": "'",
"": "'",
"": "'",
"": "'",
"": "'",
"[": "'",
"]": "'",
"": "-",
"": "-",
"~": "-",
"": "'",
"": "'",
}
text = text.replace("", "").replace("", "")
pattern = re.compile("|".join(re.escape(p) for p in REPLACE_MAP.keys()))
replaced_text = pattern.sub(lambda x: REPLACE_MAP[x.group()], text)
replaced_text = re.sub(
r"[^\u4e00-\u9fa5" + "".join(PUNCTUATIONS) + r"]+", "", replaced_text
)
return replaced_text