mirror of
https://github.com/RVC-Boss/GPT-SoVITS.git
synced 2025-04-06 03:57:44 +08:00
173 lines
7.4 KiB
Python
173 lines
7.4 KiB
Python
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import re
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from typing import List
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from .char_convert import tranditional_to_simplified
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from .chronology import RE_DATE
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from .chronology import RE_DATE2
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from .chronology import RE_TIME
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from .chronology import RE_TIME_RANGE
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from .chronology import replace_date
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from .chronology import replace_date2
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from .chronology import replace_time
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from .constants import F2H_ASCII_LETTERS
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from .constants import F2H_DIGITS
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from .constants import F2H_SPACE
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from .num import RE_DECIMAL_NUM
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from .num import RE_DEFAULT_NUM
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from .num import RE_FRAC
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from .num import RE_INTEGER
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from .num import RE_NUMBER
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from .num import RE_PERCENTAGE
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from .num import RE_POSITIVE_QUANTIFIERS
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from .num import RE_RANGE
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from .num import RE_TO_RANGE
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from .num import RE_ASMD
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from .num import RE_POWER
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from .num import replace_default_num
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from .num import replace_frac
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from .num import replace_negative_num
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from .num import replace_number
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from .num import replace_percentage
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from .num import replace_positive_quantifier
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from .num import replace_range
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from .num import replace_to_range
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from .num import replace_asmd
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from .num import replace_power
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from .phonecode import RE_MOBILE_PHONE
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from .phonecode import RE_NATIONAL_UNIFORM_NUMBER
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from .phonecode import RE_TELEPHONE
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from .phonecode import replace_mobile
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from .phonecode import replace_phone
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from .quantifier import RE_TEMPERATURE
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from .quantifier import replace_measure
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from .quantifier import replace_temperature
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class TextNormalizer:
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def __init__(self):
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self.SENTENCE_SPLITOR = re.compile(r"([：、，；。？！,;?!][”’]?)")
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def _split(self, text: str, lang="zh") -> List[str]:
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"""Split long text into sentences with sentence-splitting punctuations.
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Args:
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text (str): The input text.
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Returns:
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List[str]: Sentences.
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"""
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# Only for pure Chinese here
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if lang == "zh":
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text = text.replace(" ", "")
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# 过滤掉特殊字符
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text = re.sub(r"[——《》【】<>{}()（）#&@“”^_|\\]", "", text)
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text = self.SENTENCE_SPLITOR.sub(r"\1\n", text)
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text = text.strip()
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sentences = [sentence.strip() for sentence in re.split(r"\n+", text)]
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return sentences
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def _post_replace(self, sentence: str) -> str:
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sentence = sentence.replace("/", "每")
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# sentence = sentence.replace('~', '至')
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# sentence = sentence.replace('～', '至')
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sentence = sentence.replace("①", "一")
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sentence = sentence.replace("②", "二")
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sentence = sentence.replace("③", "三")
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sentence = sentence.replace("④", "四")
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sentence = sentence.replace("⑤", "五")
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sentence = sentence.replace("⑥", "六")
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sentence = sentence.replace("⑦", "七")
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sentence = sentence.replace("⑧", "八")
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sentence = sentence.replace("⑨", "九")
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sentence = sentence.replace("⑩", "十")
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sentence = sentence.replace("α", "阿尔法")
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sentence = sentence.replace("β", "贝塔")
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sentence = sentence.replace("γ", "伽玛").replace("Γ", "伽玛")
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sentence = sentence.replace("δ", "德尔塔").replace("Δ", "德尔塔")
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sentence = sentence.replace("ε", "艾普西龙")
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sentence = sentence.replace("ζ", "捷塔")
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sentence = sentence.replace("η", "依塔")
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sentence = sentence.replace("θ", "西塔").replace("Θ", "西塔")
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sentence = sentence.replace("ι", "艾欧塔")
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sentence = sentence.replace("κ", "喀帕")
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sentence = sentence.replace("λ", "拉姆达").replace("Λ", "拉姆达")
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sentence = sentence.replace("μ", "缪")
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sentence = sentence.replace("ν", "拗")
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sentence = sentence.replace("ξ", "克西").replace("Ξ", "克西")
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sentence = sentence.replace("ο", "欧米克伦")
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sentence = sentence.replace("π", "派").replace("Π", "派")
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sentence = sentence.replace("ρ", "肉")
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sentence = sentence.replace("ς", "西格玛").replace("Σ", "西格玛").replace("σ", "西格玛")
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sentence = sentence.replace("τ", "套")
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sentence = sentence.replace("υ", "宇普西龙")
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sentence = sentence.replace("φ", "服艾").replace("Φ", "服艾")
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sentence = sentence.replace("χ", "器")
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sentence = sentence.replace("ψ", "普赛").replace("Ψ", "普赛")
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sentence = sentence.replace("ω", "欧米伽").replace("Ω", "欧米伽")
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# 兜底数学运算，顺便兼容懒人用语
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sentence = sentence.replace("+", "加")
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sentence = sentence.replace("-", "减")
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sentence = sentence.replace("×", "乘")
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sentence = sentence.replace("÷", "除")
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sentence = sentence.replace("=", "等")
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# re filter special characters, have one more character "-" than line 68
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sentence = re.sub(r"[-——《》【】<=>{}()（）#&@“”^_|\\]", "", sentence)
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return sentence
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def normalize_sentence(self, sentence: str) -> str:
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# basic character conversions
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sentence = tranditional_to_simplified(sentence)
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sentence = sentence.translate(F2H_ASCII_LETTERS).translate(F2H_DIGITS).translate(F2H_SPACE)
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# number related NSW verbalization
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sentence = RE_DATE.sub(replace_date, sentence)
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sentence = RE_DATE2.sub(replace_date2, sentence)
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# range first
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sentence = RE_TIME_RANGE.sub(replace_time, sentence)
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sentence = RE_TIME.sub(replace_time, sentence)
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# 处理~波浪号作为至的替换
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sentence = RE_TO_RANGE.sub(replace_to_range, sentence)
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sentence = RE_TEMPERATURE.sub(replace_temperature, sentence)
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sentence = replace_measure(sentence)
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# 处理数学运算
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while RE_ASMD.search(sentence):
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sentence = RE_ASMD.sub(replace_asmd, sentence)
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sentence = RE_POWER.sub(replace_power, sentence)
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sentence = RE_FRAC.sub(replace_frac, sentence)
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sentence = RE_PERCENTAGE.sub(replace_percentage, sentence)
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sentence = RE_MOBILE_PHONE.sub(replace_mobile, sentence)
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sentence = RE_TELEPHONE.sub(replace_phone, sentence)
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sentence = RE_NATIONAL_UNIFORM_NUMBER.sub(replace_phone, sentence)
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sentence = RE_RANGE.sub(replace_range, sentence)
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sentence = RE_INTEGER.sub(replace_negative_num, sentence)
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sentence = RE_DECIMAL_NUM.sub(replace_number, sentence)
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sentence = RE_POSITIVE_QUANTIFIERS.sub(replace_positive_quantifier, sentence)
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sentence = RE_DEFAULT_NUM.sub(replace_default_num, sentence)
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sentence = RE_NUMBER.sub(replace_number, sentence)
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sentence = self._post_replace(sentence)
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return sentence
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def normalize(self, text: str) -> List[str]:
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sentences = self._split(text)
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sentences = [self.normalize_sentence(sent) for sent in sentences]
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return sentences
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