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Browse files- text/LICENSE +19 -0
- text/__init__.py +56 -0
- text/__pycache__/__init__.cpython-38.pyc +0 -0
- text/__pycache__/cleaners.cpython-38.pyc +0 -0
- text/__pycache__/english.cpython-38.pyc +0 -0
- text/__pycache__/japanese.cpython-38.pyc +0 -0
- text/__pycache__/mandarin.cpython-38.pyc +0 -0
- text/__pycache__/symbols.cpython-38.pyc +0 -0
- text/cleaners.py +176 -0
- text/english.py +188 -0
- text/japanese.py +153 -0
- text/mandarin.py +328 -0
- text/symbols.py +67 -0
text/LICENSE
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Copyright (c) 2017 Keith Ito
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in
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all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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THE SOFTWARE.
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text/__init__.py
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""" from https://github.com/keithito/tacotron """
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from text import cleaners
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from text.symbols import symbols
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# Mappings from symbol to numeric ID and vice versa:
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_symbol_to_id = {s: i for i, s in enumerate(symbols)}
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_id_to_symbol = {i: s for i, s in enumerate(symbols)}
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def text_to_sequence(text, cleaner_names):
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'''Converts a string of text to a sequence of IDs corresponding to the symbols in the text.
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Args:
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text: string to convert to a sequence
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cleaner_names: names of the cleaner functions to run the text through
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Returns:
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List of integers corresponding to the symbols in the text
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'''
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sequence = []
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clean_text = _clean_text(text, cleaner_names)
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for symbol in clean_text:
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if symbol not in _symbol_to_id.keys():
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continue
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symbol_id = _symbol_to_id[symbol]
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sequence += [symbol_id]
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return sequence
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def cleaned_text_to_sequence(cleaned_text):
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'''Converts a string of text to a sequence of IDs corresponding to the symbols in the text.
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Args:
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text: string to convert to a sequence
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Returns:
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List of integers corresponding to the symbols in the text
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'''
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sequence = [_symbol_to_id[symbol] for symbol in cleaned_text if symbol in _symbol_to_id.keys()]
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return sequence
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def sequence_to_text(sequence):
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'''Converts a sequence of IDs back to a string'''
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result = ''
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for symbol_id in sequence:
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s = _id_to_symbol[symbol_id]
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result += s
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return result
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def _clean_text(text, cleaner_names):
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for name in cleaner_names:
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cleaner = getattr(cleaners, name)
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if not cleaner:
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raise Exception('Unknown cleaner: %s' % name)
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text = cleaner(text)
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return text
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text/__pycache__/__init__.cpython-38.pyc
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Binary file (2.15 kB). View file
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text/__pycache__/cleaners.cpython-38.pyc
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Binary file (6.42 kB). View file
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text/__pycache__/english.cpython-38.pyc
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Binary file (4.88 kB). View file
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text/__pycache__/japanese.cpython-38.pyc
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Binary file (4.46 kB). View file
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text/__pycache__/mandarin.cpython-38.pyc
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Binary file (6.43 kB). View file
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text/__pycache__/symbols.cpython-38.pyc
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Binary file (426 Bytes). View file
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text/cleaners.py
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import re
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from text.english import english_to_lazy_ipa, english_to_ipa2, english_to_lazy_ipa2
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from text.japanese import japanese_to_romaji_with_accent, japanese_to_ipa, japanese_to_ipa2, japanese_to_ipa3
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from text.mandarin import number_to_chinese, chinese_to_bopomofo, latin_to_bopomofo, chinese_to_romaji, chinese_to_lazy_ipa, chinese_to_ipa, chinese_to_ipa2
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# from text.sanskrit import devanagari_to_ipa
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# from text.english import english_to_lazy_ipa, english_to_ipa2, english_to_lazy_ipa2
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# from text.thai import num_to_thai, latin_to_thai
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# from text.shanghainese import shanghainese_to_ipa
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# from text.cantonese import cantonese_to_ipa
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# from text.ngu_dialect import ngu_dialect_to_ipa
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def japanese_cleaners(text):
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text = japanese_to_romaji_with_accent(text)
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if re.match('[A-Za-z]', text[-1]):
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text += '.'
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return text
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def japanese_cleaners2(text):
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return japanese_cleaners(text).replace('ts', 'ʦ').replace('...', '…')
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def korean_cleaners(text):
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'''Pipeline for Korean text'''
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text = latin_to_hangul(text)
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text = number_to_hangul(text)
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text = divide_hangul(text)
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if re.match('[\u3131-\u3163]', text[-1]):
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text += '.'
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return text
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def chinese_cleaners(text):
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'''Pipeline for Chinese text'''
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text = number_to_chinese(text)
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text = chinese_to_bopomofo(text)
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text = latin_to_bopomofo(text)
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if re.match('[ˉˊˇˋ˙]', text[-1]):
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text += '。'
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return text
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def zh_ja_mixture_cleaners(text):
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chinese_texts = re.findall(r'\[ZH\].*?\[ZH\]', text)
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japanese_texts = re.findall(r'\[JA\].*?\[JA\]', text)
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for chinese_text in chinese_texts:
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cleaned_text = chinese_to_romaji(chinese_text[4:-4])
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text = text.replace(chinese_text, cleaned_text+' ', 1)
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for japanese_text in japanese_texts:
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cleaned_text = japanese_to_romaji_with_accent(
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japanese_text[4:-4]).replace('ts', 'ʦ').replace('u', 'ɯ').replace('...', '…')
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text = text.replace(japanese_text, cleaned_text+' ', 1)
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text = text[:-1]
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if re.match('[A-Za-zɯɹəɥ→↓↑]', text[-1]):
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text += '.'
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return text
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def sanskrit_cleaners(text):
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text = text.replace('॥', '।').replace('ॐ', 'ओम्')
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if text[-1] != '।':
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text += ' ।'
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return text
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+
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def cjks_cleaners(text):
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chinese_texts = re.findall(r'\[ZH\].*?\[ZH\]', text)
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japanese_texts = re.findall(r'\[JA\].*?\[JA\]', text)
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korean_texts = re.findall(r'\[KO\].*?\[KO\]', text)
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sanskrit_texts = re.findall(r'\[SA\].*?\[SA\]', text)
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english_texts = re.findall(r'\[EN\].*?\[EN\]', text)
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for chinese_text in chinese_texts:
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cleaned_text = chinese_to_lazy_ipa(chinese_text[4:-4])
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text = text.replace(chinese_text, cleaned_text+' ', 1)
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for japanese_text in japanese_texts:
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cleaned_text = japanese_to_ipa(japanese_text[4:-4])
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text = text.replace(japanese_text, cleaned_text+' ', 1)
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for korean_text in korean_texts:
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cleaned_text = korean_to_lazy_ipa(korean_text[4:-4])
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text = text.replace(korean_text, cleaned_text+' ', 1)
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for sanskrit_text in sanskrit_texts:
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cleaned_text = devanagari_to_ipa(sanskrit_text[4:-4])
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text = text.replace(sanskrit_text, cleaned_text+' ', 1)
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for english_text in english_texts:
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cleaned_text = english_to_lazy_ipa(english_text[4:-4])
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text = text.replace(english_text, cleaned_text+' ', 1)
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text = text[:-1]
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if re.match(r'[^\.,!\?\-…~]', text[-1]):
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text += '.'
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return text
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def cjke_cleaners(text):
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chinese_texts = re.findall(r'\[ZH\].*?\[ZH\]', text)
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japanese_texts = re.findall(r'\[JA\].*?\[JA\]', text)
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korean_texts = re.findall(r'\[KO\].*?\[KO\]', text)
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english_texts = re.findall(r'\[EN\].*?\[EN\]', text)
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for chinese_text in chinese_texts:
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cleaned_text = chinese_to_lazy_ipa(chinese_text[4:-4])
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cleaned_text = cleaned_text.replace(
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'ʧ', 'tʃ').replace('ʦ', 'ts').replace('ɥan', 'ɥæn')
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text = text.replace(chinese_text, cleaned_text+' ', 1)
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for japanese_text in japanese_texts:
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cleaned_text = japanese_to_ipa(japanese_text[4:-4])
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cleaned_text = cleaned_text.replace('ʧ', 'tʃ').replace(
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'ʦ', 'ts').replace('ɥan', 'ɥæn').replace('ʥ', 'dz')
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text = text.replace(japanese_text, cleaned_text+' ', 1)
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for korean_text in korean_texts:
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cleaned_text = korean_to_ipa(korean_text[4:-4])
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text = text.replace(korean_text, cleaned_text+' ', 1)
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for english_text in english_texts:
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cleaned_text = english_to_ipa2(english_text[4:-4])
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cleaned_text = cleaned_text.replace('ɑ', 'a').replace(
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'ɔ', 'o').replace('ɛ', 'e').replace('ɪ', 'i').replace('ʊ', 'u')
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text = text.replace(english_text, cleaned_text+' ', 1)
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text = text[:-1]
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if re.match(r'[^\.,!\?\-…~]', text[-1]):
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text += '.'
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return text
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def cjke_cleaners2(text):
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chinese_texts = re.findall(r'\[ZH\].*?\[ZH\]', text)
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japanese_texts = re.findall(r'\[JA\].*?\[JA\]', text)
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korean_texts = re.findall(r'\[KO\].*?\[KO\]', text)
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127 |
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english_texts = re.findall(r'\[EN\].*?\[EN\]', text)
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for chinese_text in chinese_texts:
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cleaned_text = chinese_to_ipa(chinese_text[4:-4])
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130 |
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text = text.replace(chinese_text, cleaned_text+' ', 1)
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for japanese_text in japanese_texts:
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cleaned_text = japanese_to_ipa2(japanese_text[4:-4])
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133 |
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text = text.replace(japanese_text, cleaned_text+' ', 1)
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for korean_text in korean_texts:
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cleaned_text = korean_to_ipa(korean_text[4:-4])
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text = text.replace(korean_text, cleaned_text+' ', 1)
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for english_text in english_texts:
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cleaned_text = english_to_ipa2(english_text[4:-4])
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139 |
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text = text.replace(english_text, cleaned_text+' ', 1)
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140 |
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text = text[:-1]
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141 |
+
if re.match(r'[^\.,!\?\-…~]', text[-1]):
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text += '.'
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143 |
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return text
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144 |
+
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145 |
+
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146 |
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def thai_cleaners(text):
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text = num_to_thai(text)
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text = latin_to_thai(text)
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return text
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150 |
+
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151 |
+
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152 |
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def shanghainese_cleaners(text):
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text = shanghainese_to_ipa(text)
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154 |
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if re.match(r'[^\.,!\?\-…~]', text[-1]):
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text += '.'
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return text
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157 |
+
|
158 |
+
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159 |
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def chinese_dialect_cleaners(text):
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text = re.sub(r'\[MD\](.*?)\[MD\]',
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lambda x: chinese_to_ipa2(x.group(1))+' ', text)
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162 |
+
text = re.sub(r'\[TW\](.*?)\[TW\]',
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lambda x: chinese_to_ipa2(x.group(1), True)+' ', text)
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164 |
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text = re.sub(r'\[JA\](.*?)\[JA\]',
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lambda x: japanese_to_ipa3(x.group(1)).replace('Q', 'ʔ')+' ', text)
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166 |
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text = re.sub(r'\[SH\](.*?)\[SH\]', lambda x: shanghainese_to_ipa(x.group(1)).replace('1', '˥˧').replace('5',
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'˧˧˦').replace('6', '˩˩˧').replace('7', '˥').replace('8', '˩˨').replace('ᴀ', 'ɐ').replace('ᴇ', 'e')+' ', text)
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168 |
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text = re.sub(r'\[GD\](.*?)\[GD\]',
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lambda x: cantonese_to_ipa(x.group(1))+' ', text)
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170 |
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text = re.sub(r'\[EN\](.*?)\[EN\]',
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171 |
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lambda x: english_to_lazy_ipa2(x.group(1))+' ', text)
|
172 |
+
text = re.sub(r'\[([A-Z]{2})\](.*?)\[\1\]', lambda x: ngu_dialect_to_ipa(x.group(2), x.group(
|
173 |
+
1)).replace('ʣ', 'dz').replace('ʥ', 'dʑ').replace('ʦ', 'ts').replace('ʨ', 'tɕ')+' ', text)
|
174 |
+
text = re.sub(r'\s+$', '', text)
|
175 |
+
text = re.sub(r'([^\.,!\?\-…~])$', r'\1.', text)
|
176 |
+
return text
|
text/english.py
ADDED
@@ -0,0 +1,188 @@
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|
|
|
1 |
+
""" from https://github.com/keithito/tacotron """
|
2 |
+
|
3 |
+
'''
|
4 |
+
Cleaners are transformations that run over the input text at both training and eval time.
|
5 |
+
|
6 |
+
Cleaners can be selected by passing a comma-delimited list of cleaner names as the "cleaners"
|
7 |
+
hyperparameter. Some cleaners are English-specific. You'll typically want to use:
|
8 |
+
1. "english_cleaners" for English text
|
9 |
+
2. "transliteration_cleaners" for non-English text that can be transliterated to ASCII using
|
10 |
+
the Unidecode library (https://pypi.python.org/pypi/Unidecode)
|
11 |
+
3. "basic_cleaners" if you do not want to transliterate (in this case, you should also update
|
12 |
+
the symbols in symbols.py to match your data).
|
13 |
+
'''
|
14 |
+
|
15 |
+
|
16 |
+
# Regular expression matching whitespace:
|
17 |
+
|
18 |
+
|
19 |
+
import re
|
20 |
+
import inflect
|
21 |
+
from unidecode import unidecode
|
22 |
+
import eng_to_ipa as ipa
|
23 |
+
_inflect = inflect.engine()
|
24 |
+
_comma_number_re = re.compile(r'([0-9][0-9\,]+[0-9])')
|
25 |
+
_decimal_number_re = re.compile(r'([0-9]+\.[0-9]+)')
|
26 |
+
_pounds_re = re.compile(r'£([0-9\,]*[0-9]+)')
|
27 |
+
_dollars_re = re.compile(r'\$([0-9\.\,]*[0-9]+)')
|
28 |
+
_ordinal_re = re.compile(r'[0-9]+(st|nd|rd|th)')
|
29 |
+
_number_re = re.compile(r'[0-9]+')
|
30 |
+
|
31 |
+
# List of (regular expression, replacement) pairs for abbreviations:
|
32 |
+
_abbreviations = [(re.compile('\\b%s\\.' % x[0], re.IGNORECASE), x[1]) for x in [
|
33 |
+
('mrs', 'misess'),
|
34 |
+
('mr', 'mister'),
|
35 |
+
('dr', 'doctor'),
|
36 |
+
('st', 'saint'),
|
37 |
+
('co', 'company'),
|
38 |
+
('jr', 'junior'),
|
39 |
+
('maj', 'major'),
|
40 |
+
('gen', 'general'),
|
41 |
+
('drs', 'doctors'),
|
42 |
+
('rev', 'reverend'),
|
43 |
+
('lt', 'lieutenant'),
|
44 |
+
('hon', 'honorable'),
|
45 |
+
('sgt', 'sergeant'),
|
46 |
+
('capt', 'captain'),
|
47 |
+
('esq', 'esquire'),
|
48 |
+
('ltd', 'limited'),
|
49 |
+
('col', 'colonel'),
|
50 |
+
('ft', 'fort'),
|
51 |
+
]]
|
52 |
+
|
53 |
+
|
54 |
+
# List of (ipa, lazy ipa) pairs:
|
55 |
+
_lazy_ipa = [(re.compile('%s' % x[0]), x[1]) for x in [
|
56 |
+
('r', 'ɹ'),
|
57 |
+
('æ', 'e'),
|
58 |
+
('ɑ', 'a'),
|
59 |
+
('ɔ', 'o'),
|
60 |
+
('ð', 'z'),
|
61 |
+
('θ', 's'),
|
62 |
+
('ɛ', 'e'),
|
63 |
+
('ɪ', 'i'),
|
64 |
+
('ʊ', 'u'),
|
65 |
+
('ʒ', 'ʥ'),
|
66 |
+
('ʤ', 'ʥ'),
|
67 |
+
('ˈ', '↓'),
|
68 |
+
]]
|
69 |
+
|
70 |
+
# List of (ipa, lazy ipa2) pairs:
|
71 |
+
_lazy_ipa2 = [(re.compile('%s' % x[0]), x[1]) for x in [
|
72 |
+
('r', 'ɹ'),
|
73 |
+
('ð', 'z'),
|
74 |
+
('θ', 's'),
|
75 |
+
('ʒ', 'ʑ'),
|
76 |
+
('ʤ', 'dʑ'),
|
77 |
+
('ˈ', '↓'),
|
78 |
+
]]
|
79 |
+
|
80 |
+
# List of (ipa, ipa2) pairs
|
81 |
+
_ipa_to_ipa2 = [(re.compile('%s' % x[0]), x[1]) for x in [
|
82 |
+
('r', 'ɹ'),
|
83 |
+
('ʤ', 'dʒ'),
|
84 |
+
('ʧ', 'tʃ')
|
85 |
+
]]
|
86 |
+
|
87 |
+
|
88 |
+
def expand_abbreviations(text):
|
89 |
+
for regex, replacement in _abbreviations:
|
90 |
+
text = re.sub(regex, replacement, text)
|
91 |
+
return text
|
92 |
+
|
93 |
+
|
94 |
+
def collapse_whitespace(text):
|
95 |
+
return re.sub(r'\s+', ' ', text)
|
96 |
+
|
97 |
+
|
98 |
+
def _remove_commas(m):
|
99 |
+
return m.group(1).replace(',', '')
|
100 |
+
|
101 |
+
|
102 |
+
def _expand_decimal_point(m):
|
103 |
+
return m.group(1).replace('.', ' point ')
|
104 |
+
|
105 |
+
|
106 |
+
def _expand_dollars(m):
|
107 |
+
match = m.group(1)
|
108 |
+
parts = match.split('.')
|
109 |
+
if len(parts) > 2:
|
110 |
+
return match + ' dollars' # Unexpected format
|
111 |
+
dollars = int(parts[0]) if parts[0] else 0
|
112 |
+
cents = int(parts[1]) if len(parts) > 1 and parts[1] else 0
|
113 |
+
if dollars and cents:
|
114 |
+
dollar_unit = 'dollar' if dollars == 1 else 'dollars'
|
115 |
+
cent_unit = 'cent' if cents == 1 else 'cents'
|
116 |
+
return '%s %s, %s %s' % (dollars, dollar_unit, cents, cent_unit)
|
117 |
+
elif dollars:
|
118 |
+
dollar_unit = 'dollar' if dollars == 1 else 'dollars'
|
119 |
+
return '%s %s' % (dollars, dollar_unit)
|
120 |
+
elif cents:
|
121 |
+
cent_unit = 'cent' if cents == 1 else 'cents'
|
122 |
+
return '%s %s' % (cents, cent_unit)
|
123 |
+
else:
|
124 |
+
return 'zero dollars'
|
125 |
+
|
126 |
+
|
127 |
+
def _expand_ordinal(m):
|
128 |
+
return _inflect.number_to_words(m.group(0))
|
129 |
+
|
130 |
+
|
131 |
+
def _expand_number(m):
|
132 |
+
num = int(m.group(0))
|
133 |
+
if num > 1000 and num < 3000:
|
134 |
+
if num == 2000:
|
135 |
+
return 'two thousand'
|
136 |
+
elif num > 2000 and num < 2010:
|
137 |
+
return 'two thousand ' + _inflect.number_to_words(num % 100)
|
138 |
+
elif num % 100 == 0:
|
139 |
+
return _inflect.number_to_words(num // 100) + ' hundred'
|
140 |
+
else:
|
141 |
+
return _inflect.number_to_words(num, andword='', zero='oh', group=2).replace(', ', ' ')
|
142 |
+
else:
|
143 |
+
return _inflect.number_to_words(num, andword='')
|
144 |
+
|
145 |
+
|
146 |
+
def normalize_numbers(text):
|
147 |
+
text = re.sub(_comma_number_re, _remove_commas, text)
|
148 |
+
text = re.sub(_pounds_re, r'\1 pounds', text)
|
149 |
+
text = re.sub(_dollars_re, _expand_dollars, text)
|
150 |
+
text = re.sub(_decimal_number_re, _expand_decimal_point, text)
|
151 |
+
text = re.sub(_ordinal_re, _expand_ordinal, text)
|
152 |
+
text = re.sub(_number_re, _expand_number, text)
|
153 |
+
return text
|
154 |
+
|
155 |
+
|
156 |
+
def mark_dark_l(text):
|
157 |
+
return re.sub(r'l([^aeiouæɑɔəɛɪʊ ]*(?: |$))', lambda x: 'ɫ'+x.group(1), text)
|
158 |
+
|
159 |
+
|
160 |
+
def english_to_ipa(text):
|
161 |
+
text = unidecode(text).lower()
|
162 |
+
text = expand_abbreviations(text)
|
163 |
+
text = normalize_numbers(text)
|
164 |
+
phonemes = ipa.convert(text)
|
165 |
+
phonemes = collapse_whitespace(phonemes)
|
166 |
+
return phonemes
|
167 |
+
|
168 |
+
|
169 |
+
def english_to_lazy_ipa(text):
|
170 |
+
text = english_to_ipa(text)
|
171 |
+
for regex, replacement in _lazy_ipa:
|
172 |
+
text = re.sub(regex, replacement, text)
|
173 |
+
return text
|
174 |
+
|
175 |
+
|
176 |
+
def english_to_ipa2(text):
|
177 |
+
text = english_to_ipa(text)
|
178 |
+
text = mark_dark_l(text)
|
179 |
+
for regex, replacement in _ipa_to_ipa2:
|
180 |
+
text = re.sub(regex, replacement, text)
|
181 |
+
return text.replace('...', '…')
|
182 |
+
|
183 |
+
|
184 |
+
def english_to_lazy_ipa2(text):
|
185 |
+
text = english_to_ipa(text)
|
186 |
+
for regex, replacement in _lazy_ipa2:
|
187 |
+
text = re.sub(regex, replacement, text)
|
188 |
+
return text
|
text/japanese.py
ADDED
@@ -0,0 +1,153 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import re
|
2 |
+
from unidecode import unidecode
|
3 |
+
import pyopenjtalk
|
4 |
+
|
5 |
+
|
6 |
+
# Regular expression matching Japanese without punctuation marks:
|
7 |
+
_japanese_characters = re.compile(
|
8 |
+
r'[A-Za-z\d\u3005\u3040-\u30ff\u4e00-\u9fff\uff11-\uff19\uff21-\uff3a\uff41-\uff5a\uff66-\uff9d]')
|
9 |
+
|
10 |
+
# Regular expression matching non-Japanese characters or punctuation marks:
|
11 |
+
_japanese_marks = re.compile(
|
12 |
+
r'[^A-Za-z\d\u3005\u3040-\u30ff\u4e00-\u9fff\uff11-\uff19\uff21-\uff3a\uff41-\uff5a\uff66-\uff9d]')
|
13 |
+
|
14 |
+
# List of (symbol, Japanese) pairs for marks:
|
15 |
+
_symbols_to_japanese = [(re.compile('%s' % x[0]), x[1]) for x in [
|
16 |
+
('%', 'パーセント')
|
17 |
+
]]
|
18 |
+
|
19 |
+
# List of (romaji, ipa) pairs for marks:
|
20 |
+
_romaji_to_ipa = [(re.compile('%s' % x[0]), x[1]) for x in [
|
21 |
+
('ts', 'ʦ'),
|
22 |
+
('u', 'ɯ'),
|
23 |
+
('j', 'ʥ'),
|
24 |
+
('y', 'j'),
|
25 |
+
('ni', 'n^i'),
|
26 |
+
('nj', 'n^'),
|
27 |
+
('hi', 'çi'),
|
28 |
+
('hj', 'ç'),
|
29 |
+
('f', 'ɸ'),
|
30 |
+
('I', 'i*'),
|
31 |
+
('U', 'ɯ*'),
|
32 |
+
('r', 'ɾ')
|
33 |
+
]]
|
34 |
+
|
35 |
+
# List of (romaji, ipa2) pairs for marks:
|
36 |
+
_romaji_to_ipa2 = [(re.compile('%s' % x[0]), x[1]) for x in [
|
37 |
+
('u', 'ɯ'),
|
38 |
+
('ʧ', 'tʃ'),
|
39 |
+
('j', 'dʑ'),
|
40 |
+
('y', 'j'),
|
41 |
+
('ni', 'n^i'),
|
42 |
+
('nj', 'n^'),
|
43 |
+
('hi', 'çi'),
|
44 |
+
('hj', 'ç'),
|
45 |
+
('f', 'ɸ'),
|
46 |
+
('I', 'i*'),
|
47 |
+
('U', 'ɯ*'),
|
48 |
+
('r', 'ɾ')
|
49 |
+
]]
|
50 |
+
|
51 |
+
# List of (consonant, sokuon) pairs:
|
52 |
+
_real_sokuon = [(re.compile('%s' % x[0]), x[1]) for x in [
|
53 |
+
(r'Q([↑↓]*[kg])', r'k#\1'),
|
54 |
+
(r'Q([↑↓]*[tdjʧ])', r't#\1'),
|
55 |
+
(r'Q([↑↓]*[sʃ])', r's\1'),
|
56 |
+
(r'Q([↑↓]*[pb])', r'p#\1')
|
57 |
+
]]
|
58 |
+
|
59 |
+
# List of (consonant, hatsuon) pairs:
|
60 |
+
_real_hatsuon = [(re.compile('%s' % x[0]), x[1]) for x in [
|
61 |
+
(r'N([↑↓]*[pbm])', r'm\1'),
|
62 |
+
(r'N([↑↓]*[ʧʥj])', r'n^\1'),
|
63 |
+
(r'N([↑↓]*[tdn])', r'n\1'),
|
64 |
+
(r'N([↑↓]*[kg])', r'ŋ\1')
|
65 |
+
]]
|
66 |
+
|
67 |
+
|
68 |
+
def symbols_to_japanese(text):
|
69 |
+
for regex, replacement in _symbols_to_japanese:
|
70 |
+
text = re.sub(regex, replacement, text)
|
71 |
+
return text
|
72 |
+
|
73 |
+
|
74 |
+
def japanese_to_romaji_with_accent(text):
|
75 |
+
'''Reference https://r9y9.github.io/ttslearn/latest/notebooks/ch10_Recipe-Tacotron.html'''
|
76 |
+
text = symbols_to_japanese(text)
|
77 |
+
sentences = re.split(_japanese_marks, text)
|
78 |
+
marks = re.findall(_japanese_marks, text)
|
79 |
+
text = ''
|
80 |
+
for i, sentence in enumerate(sentences):
|
81 |
+
if re.match(_japanese_characters, sentence):
|
82 |
+
if text != '':
|
83 |
+
text += ' '
|
84 |
+
labels = pyopenjtalk.extract_fullcontext(sentence)
|
85 |
+
for n, label in enumerate(labels):
|
86 |
+
phoneme = re.search(r'\-([^\+]*)\+', label).group(1)
|
87 |
+
if phoneme not in ['sil', 'pau']:
|
88 |
+
text += phoneme.replace('ch', 'ʧ').replace('sh',
|
89 |
+
'ʃ').replace('cl', 'Q')
|
90 |
+
else:
|
91 |
+
continue
|
92 |
+
# n_moras = int(re.search(r'/F:(\d+)_', label).group(1))
|
93 |
+
a1 = int(re.search(r"/A:(\-?[0-9]+)\+", label).group(1))
|
94 |
+
a2 = int(re.search(r"\+(\d+)\+", label).group(1))
|
95 |
+
a3 = int(re.search(r"\+(\d+)/", label).group(1))
|
96 |
+
if re.search(r'\-([^\+]*)\+', labels[n + 1]).group(1) in ['sil', 'pau']:
|
97 |
+
a2_next = -1
|
98 |
+
else:
|
99 |
+
a2_next = int(
|
100 |
+
re.search(r"\+(\d+)\+", labels[n + 1]).group(1))
|
101 |
+
# Accent phrase boundary
|
102 |
+
if a3 == 1 and a2_next == 1:
|
103 |
+
text += ' '
|
104 |
+
# Falling
|
105 |
+
elif a1 == 0 and a2_next == a2 + 1:
|
106 |
+
text += '↓'
|
107 |
+
# Rising
|
108 |
+
elif a2 == 1 and a2_next == 2:
|
109 |
+
text += '↑'
|
110 |
+
if i < len(marks):
|
111 |
+
text += unidecode(marks[i]).replace(' ', '')
|
112 |
+
return text
|
113 |
+
|
114 |
+
|
115 |
+
def get_real_sokuon(text):
|
116 |
+
for regex, replacement in _real_sokuon:
|
117 |
+
text = re.sub(regex, replacement, text)
|
118 |
+
return text
|
119 |
+
|
120 |
+
|
121 |
+
def get_real_hatsuon(text):
|
122 |
+
for regex, replacement in _real_hatsuon:
|
123 |
+
text = re.sub(regex, replacement, text)
|
124 |
+
return text
|
125 |
+
|
126 |
+
|
127 |
+
def japanese_to_ipa(text):
|
128 |
+
text = japanese_to_romaji_with_accent(text).replace('...', '…')
|
129 |
+
text = re.sub(
|
130 |
+
r'([aiueo])\1+', lambda x: x.group(0)[0]+'ː'*(len(x.group(0))-1), text)
|
131 |
+
text = get_real_sokuon(text)
|
132 |
+
text = get_real_hatsuon(text)
|
133 |
+
for regex, replacement in _romaji_to_ipa:
|
134 |
+
text = re.sub(regex, replacement, text)
|
135 |
+
return text
|
136 |
+
|
137 |
+
|
138 |
+
def japanese_to_ipa2(text):
|
139 |
+
text = japanese_to_romaji_with_accent(text).replace('...', '…')
|
140 |
+
text = get_real_sokuon(text)
|
141 |
+
text = get_real_hatsuon(text)
|
142 |
+
for regex, replacement in _romaji_to_ipa2:
|
143 |
+
text = re.sub(regex, replacement, text)
|
144 |
+
return text
|
145 |
+
|
146 |
+
|
147 |
+
def japanese_to_ipa3(text):
|
148 |
+
text = japanese_to_ipa2(text).replace('n^', 'ȵ').replace(
|
149 |
+
'ʃ', 'ɕ').replace('*', '\u0325').replace('#', '\u031a')
|
150 |
+
text = re.sub(
|
151 |
+
r'([aiɯeo])\1+', lambda x: x.group(0)[0]+'ː'*(len(x.group(0))-1), text)
|
152 |
+
text = re.sub(r'((?:^|\s)(?:ts|tɕ|[kpt]))', r'\1ʰ', text)
|
153 |
+
return text
|
text/mandarin.py
ADDED
@@ -0,0 +1,328 @@
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|
|
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|
|
|
|
|
|
|
|
|
|
|
1 |
+
import os
|
2 |
+
import sys
|
3 |
+
import re
|
4 |
+
from pypinyin import lazy_pinyin, BOPOMOFO
|
5 |
+
import jieba
|
6 |
+
import cn2an
|
7 |
+
|
8 |
+
|
9 |
+
# List of (Latin alphabet, bopomofo) pairs:
|
10 |
+
_latin_to_bopomofo = [(re.compile('%s' % x[0], re.IGNORECASE), x[1]) for x in [
|
11 |
+
('a', 'ㄟˉ'),
|
12 |
+
('b', 'ㄅㄧˋ'),
|
13 |
+
('c', 'ㄙㄧˉ'),
|
14 |
+
('d', 'ㄉㄧˋ'),
|
15 |
+
('e', 'ㄧˋ'),
|
16 |
+
('f', 'ㄝˊㄈㄨˋ'),
|
17 |
+
('g', 'ㄐㄧˋ'),
|
18 |
+
('h', 'ㄝˇㄑㄩˋ'),
|
19 |
+
('i', 'ㄞˋ'),
|
20 |
+
('j', 'ㄐㄟˋ'),
|
21 |
+
('k', 'ㄎㄟˋ'),
|
22 |
+
('l', 'ㄝˊㄛˋ'),
|
23 |
+
('m', 'ㄝˊㄇㄨˋ'),
|
24 |
+
('n', 'ㄣˉ'),
|
25 |
+
('o', 'ㄡˉ'),
|
26 |
+
('p', 'ㄆㄧˉ'),
|
27 |
+
('q', 'ㄎㄧㄡˉ'),
|
28 |
+
('r', 'ㄚˋ'),
|
29 |
+
('s', 'ㄝˊㄙˋ'),
|
30 |
+
('t', 'ㄊㄧˋ'),
|
31 |
+
('u', 'ㄧㄡˉ'),
|
32 |
+
('v', 'ㄨㄧˉ'),
|
33 |
+
('w', 'ㄉㄚˋㄅㄨˋㄌㄧㄡˋ'),
|
34 |
+
('x', 'ㄝˉㄎㄨˋㄙˋ'),
|
35 |
+
('y', 'ㄨㄞˋ'),
|
36 |
+
('z', 'ㄗㄟˋ')
|
37 |
+
]]
|
38 |
+
|
39 |
+
# List of (bopomofo, romaji) pairs:
|
40 |
+
_bopomofo_to_romaji = [(re.compile('%s' % x[0]), x[1]) for x in [
|
41 |
+
('ㄅㄛ', 'p⁼wo'),
|
42 |
+
('ㄆㄛ', 'pʰwo'),
|
43 |
+
('ㄇㄛ', 'mwo'),
|
44 |
+
('ㄈㄛ', 'fwo'),
|
45 |
+
('ㄅ', 'p⁼'),
|
46 |
+
('ㄆ', 'pʰ'),
|
47 |
+
('ㄇ', 'm'),
|
48 |
+
('ㄈ', 'f'),
|
49 |
+
('ㄉ', 't⁼'),
|
50 |
+
('ㄊ', 'tʰ'),
|
51 |
+
('ㄋ', 'n'),
|
52 |
+
('ㄌ', 'l'),
|
53 |
+
('ㄍ', 'k⁼'),
|
54 |
+
('ㄎ', 'kʰ'),
|
55 |
+
('ㄏ', 'h'),
|
56 |
+
('ㄐ', 'ʧ⁼'),
|
57 |
+
('ㄑ', 'ʧʰ'),
|
58 |
+
('ㄒ', 'ʃ'),
|
59 |
+
('ㄓ', 'ʦ`⁼'),
|
60 |
+
('ㄔ', 'ʦ`ʰ'),
|
61 |
+
('ㄕ', 's`'),
|
62 |
+
('ㄖ', 'ɹ`'),
|
63 |
+
('ㄗ', 'ʦ⁼'),
|
64 |
+
('ㄘ', 'ʦʰ'),
|
65 |
+
('ㄙ', 's'),
|
66 |
+
('ㄚ', 'a'),
|
67 |
+
('ㄛ', 'o'),
|
68 |
+
('ㄜ', 'ə'),
|
69 |
+
('ㄝ', 'e'),
|
70 |
+
('ㄞ', 'ai'),
|
71 |
+
('ㄟ', 'ei'),
|
72 |
+
('ㄠ', 'au'),
|
73 |
+
('ㄡ', 'ou'),
|
74 |
+
('ㄧㄢ', 'yeNN'),
|
75 |
+
('ㄢ', 'aNN'),
|
76 |
+
('ㄧㄣ', 'iNN'),
|
77 |
+
('ㄣ', 'əNN'),
|
78 |
+
('ㄤ', 'aNg'),
|
79 |
+
('ㄧㄥ', 'iNg'),
|
80 |
+
('ㄨㄥ', 'uNg'),
|
81 |
+
('ㄩㄥ', 'yuNg'),
|
82 |
+
('ㄥ', 'əNg'),
|
83 |
+
('ㄦ', 'əɻ'),
|
84 |
+
('ㄧ', 'i'),
|
85 |
+
('ㄨ', 'u'),
|
86 |
+
('ㄩ', 'ɥ'),
|
87 |
+
('ˉ', '→'),
|
88 |
+
('ˊ', '↑'),
|
89 |
+
('ˇ', '↓↑'),
|
90 |
+
('ˋ', '↓'),
|
91 |
+
('˙', ''),
|
92 |
+
(',', ','),
|
93 |
+
('。', '.'),
|
94 |
+
('!', '!'),
|
95 |
+
('?', '?'),
|
96 |
+
('—', '-')
|
97 |
+
]]
|
98 |
+
|
99 |
+
# List of (romaji, ipa) pairs:
|
100 |
+
_romaji_to_ipa = [(re.compile('%s' % x[0], re.IGNORECASE), x[1]) for x in [
|
101 |
+
('ʃy', 'ʃ'),
|
102 |
+
('ʧʰy', 'ʧʰ'),
|
103 |
+
('ʧ⁼y', 'ʧ⁼'),
|
104 |
+
('NN', 'n'),
|
105 |
+
('Ng', 'ŋ'),
|
106 |
+
('y', 'j'),
|
107 |
+
('h', 'x')
|
108 |
+
]]
|
109 |
+
|
110 |
+
# List of (bopomofo, ipa) pairs:
|
111 |
+
_bopomofo_to_ipa = [(re.compile('%s' % x[0]), x[1]) for x in [
|
112 |
+
('ㄅㄛ', 'p⁼wo'),
|
113 |
+
('ㄆㄛ', 'pʰwo'),
|
114 |
+
('ㄇㄛ', 'mwo'),
|
115 |
+
('ㄈㄛ', 'fwo'),
|
116 |
+
('ㄅ', 'p⁼'),
|
117 |
+
('ㄆ', 'pʰ'),
|
118 |
+
('ㄇ', 'm'),
|
119 |
+
('ㄈ', 'f'),
|
120 |
+
('ㄉ', 't⁼'),
|
121 |
+
('ㄊ', 'tʰ'),
|
122 |
+
('ㄋ', 'n'),
|
123 |
+
('ㄌ', 'l'),
|
124 |
+
('ㄍ', 'k⁼'),
|
125 |
+
('ㄎ', 'kʰ'),
|
126 |
+
('ㄏ', 'x'),
|
127 |
+
('ㄐ', 'tʃ⁼'),
|
128 |
+
('ㄑ', 'tʃʰ'),
|
129 |
+
('ㄒ', 'ʃ'),
|
130 |
+
('ㄓ', 'ts`⁼'),
|
131 |
+
('ㄔ', 'ts`ʰ'),
|
132 |
+
('ㄕ', 's`'),
|
133 |
+
('ㄖ', 'ɹ`'),
|
134 |
+
('ㄗ', 'ts⁼'),
|
135 |
+
('ㄘ', 'tsʰ'),
|
136 |
+
('ㄙ', 's'),
|
137 |
+
('ㄚ', 'a'),
|
138 |
+
('ㄛ', 'o'),
|
139 |
+
('ㄜ', 'ə'),
|
140 |
+
('ㄝ', 'ɛ'),
|
141 |
+
('ㄞ', 'aɪ'),
|
142 |
+
('ㄟ', 'eɪ'),
|
143 |
+
('ㄠ', 'ɑʊ'),
|
144 |
+
('ㄡ', 'oʊ'),
|
145 |
+
('ㄧㄢ', 'jɛn'),
|
146 |
+
('ㄩㄢ', 'ɥæn'),
|
147 |
+
('ㄢ', 'an'),
|
148 |
+
('ㄧㄣ', 'in'),
|
149 |
+
('ㄩㄣ', 'ɥn'),
|
150 |
+
('ㄣ', 'ən'),
|
151 |
+
('ㄤ', 'ɑŋ'),
|
152 |
+
('ㄧㄥ', 'iŋ'),
|
153 |
+
('ㄨㄥ', 'ʊŋ'),
|
154 |
+
('ㄩㄥ', 'jʊŋ'),
|
155 |
+
('ㄥ', 'əŋ'),
|
156 |
+
('ㄦ', 'əɻ'),
|
157 |
+
('ㄧ', 'i'),
|
158 |
+
('ㄨ', 'u'),
|
159 |
+
('ㄩ', 'ɥ'),
|
160 |
+
('ˉ', '→'),
|
161 |
+
('ˊ', '↑'),
|
162 |
+
('ˇ', '↓↑'),
|
163 |
+
('ˋ', '↓'),
|
164 |
+
('˙', ''),
|
165 |
+
(',', ','),
|
166 |
+
('。', '.'),
|
167 |
+
('!', '!'),
|
168 |
+
('?', '?'),
|
169 |
+
('—', '-')
|
170 |
+
]]
|
171 |
+
|
172 |
+
# List of (bopomofo, ipa2) pairs:
|
173 |
+
_bopomofo_to_ipa2 = [(re.compile('%s' % x[0]), x[1]) for x in [
|
174 |
+
('ㄅㄛ', 'pwo'),
|
175 |
+
('ㄆㄛ', 'pʰwo'),
|
176 |
+
('ㄇㄛ', 'mwo'),
|
177 |
+
('ㄈㄛ', 'fwo'),
|
178 |
+
('ㄅ', 'p'),
|
179 |
+
('ㄆ', 'pʰ'),
|
180 |
+
('ㄇ', 'm'),
|
181 |
+
('ㄈ', 'f'),
|
182 |
+
('ㄉ', 't'),
|
183 |
+
('ㄊ', 'tʰ'),
|
184 |
+
('ㄋ', 'n'),
|
185 |
+
('ㄌ', 'l'),
|
186 |
+
('ㄍ', 'k'),
|
187 |
+
('ㄎ', 'kʰ'),
|
188 |
+
('ㄏ', 'h'),
|
189 |
+
('ㄐ', 'tɕ'),
|
190 |
+
('ㄑ', 'tɕʰ'),
|
191 |
+
('ㄒ', 'ɕ'),
|
192 |
+
('ㄓ', 'tʂ'),
|
193 |
+
('ㄔ', 'tʂʰ'),
|
194 |
+
('ㄕ', 'ʂ'),
|
195 |
+
('ㄖ', 'ɻ'),
|
196 |
+
('ㄗ', 'ts'),
|
197 |
+
('ㄘ', 'tsʰ'),
|
198 |
+
('ㄙ', 's'),
|
199 |
+
('ㄚ', 'a'),
|
200 |
+
('ㄛ', 'o'),
|
201 |
+
('ㄜ', 'ɤ'),
|
202 |
+
('ㄝ', 'ɛ'),
|
203 |
+
('ㄞ', 'aɪ'),
|
204 |
+
('ㄟ', 'eɪ'),
|
205 |
+
('ㄠ', 'ɑʊ'),
|
206 |
+
('ㄡ', 'oʊ'),
|
207 |
+
('ㄧㄢ', 'jɛn'),
|
208 |
+
('ㄩㄢ', 'yæn'),
|
209 |
+
('ㄢ', 'an'),
|
210 |
+
('ㄧㄣ', 'in'),
|
211 |
+
('ㄩㄣ', 'yn'),
|
212 |
+
('ㄣ', 'ən'),
|
213 |
+
('ㄤ', 'ɑŋ'),
|
214 |
+
('ㄧㄥ', 'iŋ'),
|
215 |
+
('ㄨㄥ', 'ʊŋ'),
|
216 |
+
('ㄩㄥ', 'jʊŋ'),
|
217 |
+
('ㄥ', 'ɤŋ'),
|
218 |
+
('ㄦ', 'əɻ'),
|
219 |
+
('ㄧ', 'i'),
|
220 |
+
('ㄨ', 'u'),
|
221 |
+
('ㄩ', 'y'),
|
222 |
+
('ˉ', '˥'),
|
223 |
+
('ˊ', '˧˥'),
|
224 |
+
('ˇ', '˨˩˦'),
|
225 |
+
('ˋ', '˥˩'),
|
226 |
+
('˙', ''),
|
227 |
+
(',', ','),
|
228 |
+
('。', '.'),
|
229 |
+
('!', '!'),
|
230 |
+
('?', '?'),
|
231 |
+
('—', '-')
|
232 |
+
]]
|
233 |
+
|
234 |
+
|
235 |
+
def number_to_chinese(text):
|
236 |
+
numbers = re.findall(r'\d+(?:\.?\d+)?', text)
|
237 |
+
for number in numbers:
|
238 |
+
text = text.replace(number, cn2an.an2cn(number), 1)
|
239 |
+
return text
|
240 |
+
|
241 |
+
|
242 |
+
def chinese_to_bopomofo(text, taiwanese=False):
|
243 |
+
text = text.replace('、', ',').replace(';', ',').replace(':', ',')
|
244 |
+
words = jieba.lcut(text, cut_all=False)
|
245 |
+
text = ''
|
246 |
+
for word in words:
|
247 |
+
bopomofos = lazy_pinyin(word, BOPOMOFO)
|
248 |
+
if not re.search('[\u4e00-\u9fff]', word):
|
249 |
+
text += word
|
250 |
+
continue
|
251 |
+
for i in range(len(bopomofos)):
|
252 |
+
bopomofos[i] = re.sub(r'([\u3105-\u3129])$', r'\1ˉ', bopomofos[i])
|
253 |
+
if text != '':
|
254 |
+
text += ' '
|
255 |
+
if taiwanese:
|
256 |
+
text += '#'+'#'.join(bopomofos)
|
257 |
+
else:
|
258 |
+
text += ''.join(bopomofos)
|
259 |
+
return text
|
260 |
+
|
261 |
+
|
262 |
+
def latin_to_bopomofo(text):
|
263 |
+
for regex, replacement in _latin_to_bopomofo:
|
264 |
+
text = re.sub(regex, replacement, text)
|
265 |
+
return text
|
266 |
+
|
267 |
+
|
268 |
+
def bopomofo_to_romaji(text):
|
269 |
+
for regex, replacement in _bopomofo_to_romaji:
|
270 |
+
text = re.sub(regex, replacement, text)
|
271 |
+
return text
|
272 |
+
|
273 |
+
|
274 |
+
def bopomofo_to_ipa(text):
|
275 |
+
for regex, replacement in _bopomofo_to_ipa:
|
276 |
+
text = re.sub(regex, replacement, text)
|
277 |
+
return text
|
278 |
+
|
279 |
+
|
280 |
+
def bopomofo_to_ipa2(text):
|
281 |
+
for regex, replacement in _bopomofo_to_ipa2:
|
282 |
+
text = re.sub(regex, replacement, text)
|
283 |
+
return text
|
284 |
+
|
285 |
+
|
286 |
+
def chinese_to_romaji(text):
|
287 |
+
text = number_to_chinese(text)
|
288 |
+
text = chinese_to_bopomofo(text)
|
289 |
+
text = latin_to_bopomofo(text)
|
290 |
+
text = bopomofo_to_romaji(text)
|
291 |
+
text = re.sub('i([aoe])', r'y\1', text)
|
292 |
+
text = re.sub('u([aoəe])', r'w\1', text)
|
293 |
+
text = re.sub('([ʦsɹ]`[⁼ʰ]?)([→↓↑ ]+|$)',
|
294 |
+
r'\1ɹ`\2', text).replace('ɻ', 'ɹ`')
|
295 |
+
text = re.sub('([ʦs][⁼ʰ]?)([→↓↑ ]+|$)', r'\1ɹ\2', text)
|
296 |
+
return text
|
297 |
+
|
298 |
+
|
299 |
+
def chinese_to_lazy_ipa(text):
|
300 |
+
text = chinese_to_romaji(text)
|
301 |
+
for regex, replacement in _romaji_to_ipa:
|
302 |
+
text = re.sub(regex, replacement, text)
|
303 |
+
return text
|
304 |
+
|
305 |
+
|
306 |
+
def chinese_to_ipa(text):
|
307 |
+
text = number_to_chinese(text)
|
308 |
+
text = chinese_to_bopomofo(text)
|
309 |
+
text = latin_to_bopomofo(text)
|
310 |
+
text = bopomofo_to_ipa(text)
|
311 |
+
text = re.sub('i([aoe])', r'j\1', text)
|
312 |
+
text = re.sub('u([aoəe])', r'w\1', text)
|
313 |
+
text = re.sub('([sɹ]`[⁼ʰ]?)([→↓↑ ]+|$)',
|
314 |
+
r'\1ɹ`\2', text).replace('ɻ', 'ɹ`')
|
315 |
+
text = re.sub('([s][⁼ʰ]?)([→↓↑ ]+|$)', r'\1ɹ\2', text)
|
316 |
+
return text
|
317 |
+
|
318 |
+
|
319 |
+
def chinese_to_ipa2(text, taiwanese=False):
|
320 |
+
text = number_to_chinese(text)
|
321 |
+
text = chinese_to_bopomofo(text, taiwanese)
|
322 |
+
text = latin_to_bopomofo(text)
|
323 |
+
text = bopomofo_to_ipa2(text)
|
324 |
+
text = re.sub(r'i([aoe])', r'j\1', text)
|
325 |
+
text = re.sub(r'u([aoəe])', r'w\1', text)
|
326 |
+
text = re.sub(r'([ʂɹ]ʰ?)([˩˨˧˦˥ ]+|$)', r'\1ʅ\2', text)
|
327 |
+
text = re.sub(r'(sʰ?)([˩˨˧˦˥ ]+|$)', r'\1ɿ\2', text)
|
328 |
+
return text
|
text/symbols.py
ADDED
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
'''
|
2 |
+
Defines the set of symbols used in text input to the model.
|
3 |
+
'''
|
4 |
+
_pad = '_'
|
5 |
+
_punctuation = ',.!?-~…'
|
6 |
+
_letters = 'AEINOQUabdefghijklmnoprstuvwyzʃʧʦɯɹəɥ⁼ʰ`→↓↑ '
|
7 |
+
'''
|
8 |
+
# japanese_cleaners2
|
9 |
+
_pad = '_'
|
10 |
+
_punctuation = ',.!?-~…'
|
11 |
+
_letters = 'AEINOQUabdefghijkmnoprstuvwyzʃʧʦ↓↑ '
|
12 |
+
'''
|
13 |
+
|
14 |
+
'''# korean_cleaners
|
15 |
+
_pad = '_'
|
16 |
+
_punctuation = ',.!?…~'
|
17 |
+
_letters = 'ㄱㄴㄷㄹㅁㅂㅅㅇㅈㅊㅋㅌㅍㅎㄲㄸㅃㅆㅉㅏㅓㅗㅜㅡㅣㅐㅔ '
|
18 |
+
'''
|
19 |
+
|
20 |
+
'''# chinese_cleaners
|
21 |
+
_pad = '_'
|
22 |
+
_punctuation = ',。!?—…'
|
23 |
+
_letters = 'ㄅㄆㄇㄈㄉㄊㄋㄌㄍㄎㄏㄐㄑㄒㄓㄔㄕㄖㄗㄘㄙㄚㄛㄜㄝㄞㄟㄠㄡㄢㄣㄤㄥㄦㄧㄨㄩˉˊˇˋ˙ '
|
24 |
+
'''
|
25 |
+
|
26 |
+
|
27 |
+
'''# sanskrit_cleaners
|
28 |
+
_pad = '_'
|
29 |
+
_punctuation = '।'
|
30 |
+
_letters = 'ँंःअआइईउऊऋएऐओऔकखगघङचछजझञटठडढणतथदधनपफबभमयरलळवशषसहऽािीुूृॄेैोौ्ॠॢ '
|
31 |
+
'''
|
32 |
+
|
33 |
+
'''# cjks_cleaners
|
34 |
+
_pad = '_'
|
35 |
+
_punctuation = ',.!?-~…'
|
36 |
+
_letters = 'NQabdefghijklmnopstuvwxyzʃʧʥʦɯɹəɥçɸɾβŋɦː⁼ʰ`^#*=→↓↑ '
|
37 |
+
'''
|
38 |
+
|
39 |
+
'''# thai_cleaners
|
40 |
+
_pad = '_'
|
41 |
+
_punctuation = '.!? '
|
42 |
+
_letters = 'กขฃคฆงจฉชซฌญฎฏฐฑฒณดตถทธนบปผฝพฟภมยรฤลวศษสหฬอฮฯะัาำิีึืุูเแโใไๅๆ็่้๊๋์'
|
43 |
+
'''
|
44 |
+
|
45 |
+
'''# cjke_cleaners2
|
46 |
+
_pad = '_'
|
47 |
+
_punctuation = ',.!?-~…'
|
48 |
+
_letters = 'NQabdefghijklmnopstuvwxyzɑæʃʑçɯɪɔɛɹðəɫɥɸʊɾʒθβŋɦ⁼ʰ`^#*=ˈˌ→↓↑ '
|
49 |
+
'''
|
50 |
+
|
51 |
+
'''# shanghainese_cleaners
|
52 |
+
_pad = '_'
|
53 |
+
_punctuation = ',.!?…'
|
54 |
+
_letters = 'abdfghiklmnopstuvyzøŋȵɑɔɕəɤɦɪɿʑʔʰ̩̃ᴀᴇ15678 '
|
55 |
+
'''
|
56 |
+
|
57 |
+
'''# chinese_dialect_cleaners
|
58 |
+
_pad = '_'
|
59 |
+
_punctuation = ',.!?~…─'
|
60 |
+
_letters = '#Nabdefghijklmnoprstuvwxyzæçøŋœȵɐɑɒɓɔɕɗɘəɚɛɜɣɤɦɪɭɯɵɷɸɻɾɿʂʅʊʋʌʏʑʔʦʮʰʷˀː˥˦˧˨˩̥̩̃̚αᴀᴇ↑↓∅ⱼ '
|
61 |
+
'''
|
62 |
+
|
63 |
+
# Export all symbols:
|
64 |
+
symbols = [_pad] + list(_punctuation) + list(_letters)
|
65 |
+
|
66 |
+
# Special symbol ids
|
67 |
+
SPACE_ID = symbols.index(" ")
|