Upload cleaners.py
Browse files- cleaners.py +203 -0
cleaners.py
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| 1 |
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import re
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| 2 |
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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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| 3 |
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from text.korean import latin_to_hangul, number_to_hangul, divide_hangul, korean_to_lazy_ipa, korean_to_ipa
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| 4 |
+
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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| 5 |
+
from text.sanskrit import devanagari_to_ipa
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| 6 |
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from text.english import english_to_lazy_ipa, english_to_ipa2, english_to_lazy_ipa2
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| 7 |
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from text.thai import num_to_thai, latin_to_thai
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| 8 |
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from unidecode import unidecode
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| 9 |
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from phonemizer import phonemize
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| 10 |
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from pypinyin import Style, pinyin
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| 11 |
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from pypinyin.style._utils import get_finals, get_initials
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| 12 |
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# Regular expression matching whitespace:
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| 13 |
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_whitespace_re = re.compile(r'\s+')
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| 14 |
+
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| 15 |
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# List of (regular expression, replacement) pairs for abbreviations:
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| 16 |
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_abbreviations = [(re.compile('\\b%s\\.' % x[0], re.IGNORECASE), x[1]) for x in [
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('mrs', 'misess'),
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| 18 |
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('mr', 'mister'),
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| 19 |
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('dr', 'doctor'),
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| 20 |
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('st', 'saint'),
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| 21 |
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('co', 'company'),
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| 22 |
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('jr', 'junior'),
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| 23 |
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('maj', 'major'),
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| 24 |
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('gen', 'general'),
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| 25 |
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('drs', 'doctors'),
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| 26 |
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('rev', 'reverend'),
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| 27 |
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('lt', 'lieutenant'),
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| 28 |
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('hon', 'honorable'),
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| 29 |
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('sgt', 'sergeant'),
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| 30 |
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('capt', 'captain'),
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| 31 |
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('esq', 'esquire'),
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| 32 |
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('ltd', 'limited'),
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| 33 |
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('col', 'colonel'),
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| 34 |
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('ft', 'fort'),
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| 35 |
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]]
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| 36 |
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# from text.shanghainese import shanghainese_to_ipa
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| 37 |
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# from text.cantonese import cantonese_to_ipa
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| 38 |
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# from text.ngu_dialect import ngu_dialect_to_ipa
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| 39 |
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| 40 |
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| 41 |
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def japanese_cleaners(text):
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| 42 |
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text = japanese_to_romaji_with_accent(text)
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| 43 |
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text = re.sub(r'([A-Za-z])$', r'\1.', text)
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| 44 |
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return text
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| 45 |
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| 46 |
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| 47 |
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def japanese_cleaners2(text):
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| 48 |
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return japanese_cleaners(text).replace('ts', 'ʦ').replace('...', '…')
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| 49 |
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| 50 |
+
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| 51 |
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def korean_cleaners(text):
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| 52 |
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'''Pipeline for Korean text'''
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| 53 |
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text = latin_to_hangul(text)
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| 54 |
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text = number_to_hangul(text)
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| 55 |
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text = divide_hangul(text)
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| 56 |
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text = re.sub(r'([\u3131-\u3163])$', r'\1.', text)
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| 57 |
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return text
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| 58 |
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| 59 |
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| 60 |
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def chinese_cleaners(text):
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| 61 |
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'''Pipeline for Chinese text'''
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| 62 |
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text = text.replace("[ZH]", "")
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| 63 |
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text = number_to_chinese(text)
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| 64 |
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text = chinese_to_bopomofo(text)
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| 65 |
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text = latin_to_bopomofo(text)
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| 66 |
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text = re.sub(r'([ˉˊˇˋ˙])$', r'\1。', text)
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| 67 |
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return text
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| 68 |
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| 69 |
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| 70 |
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def zh_ja_mixture_cleaners(text):
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| 71 |
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text = re.sub(r'\[ZH\](.*?)\[ZH\]',
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| 72 |
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lambda x: chinese_to_romaji(x.group(1))+' ', text)
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| 73 |
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text = re.sub(r'\[JA\](.*?)\[JA\]', lambda x: japanese_to_romaji_with_accent(
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| 74 |
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x.group(1)).replace('ts', 'ʦ').replace('u', 'ɯ').replace('...', '…')+' ', text)
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| 75 |
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text = re.sub(r'\s+$', '', text)
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| 76 |
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text = re.sub(r'([^\.,!\?\-…~])$', r'\1.', text)
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| 77 |
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return text
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| 78 |
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| 79 |
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| 80 |
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def sanskrit_cleaners(text):
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| 81 |
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text = text.replace('॥', '।').replace('ॐ', 'ओम्')
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| 82 |
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text = re.sub(r'([^।])$', r'\1।', text)
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| 83 |
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return text
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| 84 |
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| 85 |
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| 86 |
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def cjks_cleaners(text):
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| 87 |
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text = re.sub(r'\[ZH\](.*?)\[ZH\]',
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| 88 |
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lambda x: chinese_to_lazy_ipa(x.group(1))+' ', text)
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| 89 |
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text = re.sub(r'\[JA\](.*?)\[JA\]',
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| 90 |
+
lambda x: japanese_to_ipa(x.group(1))+' ', text)
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| 91 |
+
text = re.sub(r'\[KO\](.*?)\[KO\]',
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| 92 |
+
lambda x: korean_to_lazy_ipa(x.group(1))+' ', text)
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| 93 |
+
text = re.sub(r'\[SA\](.*?)\[SA\]',
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| 94 |
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lambda x: devanagari_to_ipa(x.group(1))+' ', text)
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| 95 |
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text = re.sub(r'\[EN\](.*?)\[EN\]',
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| 96 |
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lambda x: english_to_lazy_ipa(x.group(1))+' ', text)
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| 97 |
+
text = re.sub(r'\s+$', '', text)
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| 98 |
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text = re.sub(r'([^\.,!\?\-…~])$', r'\1.', text)
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| 99 |
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return text
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| 100 |
+
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| 101 |
+
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| 102 |
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def cjke_cleaners(text):
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| 103 |
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text = re.sub(r'\[ZH\](.*?)\[ZH\]', lambda x: chinese_to_lazy_ipa(x.group(1)).replace(
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| 104 |
+
'ʧ', 'tʃ').replace('ʦ', 'ts').replace('ɥan', 'ɥæn')+' ', text)
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| 105 |
+
text = re.sub(r'\[JA\](.*?)\[JA\]', lambda x: japanese_to_ipa(x.group(1)).replace('ʧ', 'tʃ').replace(
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| 106 |
+
'ʦ', 'ts').replace('ɥan', 'ɥæn').replace('ʥ', 'dz')+' ', text)
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| 107 |
+
text = re.sub(r'\[KO\](.*?)\[KO\]',
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| 108 |
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lambda x: korean_to_ipa(x.group(1))+' ', text)
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| 109 |
+
text = re.sub(r'\[EN\](.*?)\[EN\]', lambda x: english_to_ipa2(x.group(1)).replace('ɑ', 'a').replace(
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| 110 |
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'ɔ', 'o').replace('ɛ', 'e').replace('ɪ', 'i').replace('ʊ', 'u')+' ', text)
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| 111 |
+
text = re.sub(r'\s+$', '', text)
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| 112 |
+
text = re.sub(r'([^\.,!\?\-…~])$', r'\1.', text)
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| 113 |
+
return text
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| 114 |
+
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| 115 |
+
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| 116 |
+
def cjke_cleaners2(text):
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| 117 |
+
text = re.sub(r'\[ZH\](.*?)\[ZH\]',
|
| 118 |
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lambda x: chinese_to_ipa(x.group(1))+' ', text)
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| 119 |
+
text = re.sub(r'\[JA\](.*?)\[JA\]',
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| 120 |
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lambda x: japanese_to_ipa2(x.group(1))+' ', text)
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| 121 |
+
text = re.sub(r'\[KO\](.*?)\[KO\]',
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| 122 |
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lambda x: korean_to_ipa(x.group(1))+' ', text)
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| 123 |
+
text = re.sub(r'\[EN\](.*?)\[EN\]',
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| 124 |
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lambda x: english_to_ipa2(x.group(1))+' ', text)
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| 125 |
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text = re.sub(r'\s+$', '', text)
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| 126 |
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text = re.sub(r'([^\.,!\?\-…~])$', r'\1.', text)
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| 127 |
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return text
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| 128 |
+
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| 129 |
+
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| 130 |
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def thai_cleaners(text):
|
| 131 |
+
text = num_to_thai(text)
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| 132 |
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text = latin_to_thai(text)
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| 133 |
+
return text
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| 134 |
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| 135 |
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| 136 |
+
# def shanghainese_cleaners(text):
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| 137 |
+
# text = shanghainese_to_ipa(text)
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| 138 |
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# text = re.sub(r'([^\.,!\?\-…~])$', r'\1.', text)
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| 139 |
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# return text
|
| 140 |
+
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| 141 |
+
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| 142 |
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# def chinese_dialect_cleaners(text):
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| 143 |
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# text = re.sub(r'\[ZH\](.*?)\[ZH\]',
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| 144 |
+
# lambda x: chinese_to_ipa2(x.group(1))+' ', text)
|
| 145 |
+
# text = re.sub(r'\[JA\](.*?)\[JA\]',
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| 146 |
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# lambda x: japanese_to_ipa3(x.group(1)).replace('Q', 'ʔ')+' ', text)
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| 147 |
+
# text = re.sub(r'\[SH\](.*?)\[SH\]', lambda x: shanghainese_to_ipa(x.group(1)).replace('1', '˥˧').replace('5',
|
| 148 |
+
# '˧˧˦').replace('6', '˩˩˧').replace('7', '˥').replace('8', '˩˨').replace('ᴀ', 'ɐ').replace('ᴇ', 'e')+' ', text)
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| 149 |
+
# text = re.sub(r'\[GD\](.*?)\[GD\]',
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| 150 |
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# lambda x: cantonese_to_ipa(x.group(1))+' ', text)
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| 151 |
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# text = re.sub(r'\[EN\](.*?)\[EN\]',
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| 152 |
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# lambda x: english_to_lazy_ipa2(x.group(1))+' ', text)
|
| 153 |
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# text = re.sub(r'\[([A-Z]{2})\](.*?)\[\1\]', lambda x: ngu_dialect_to_ipa(x.group(2), x.group(
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| 154 |
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# 1)).replace('ʣ', 'dz').replace('ʥ', 'dʑ').replace('ʦ', 'ts').replace('ʨ', 'tɕ')+' ', text)
|
| 155 |
+
# text = re.sub(r'\s+$', '', text)
|
| 156 |
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# text = re.sub(r'([^\.,!\?\-…~])$', r'\1.', text)
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| 157 |
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# return text
|
| 158 |
+
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| 159 |
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def english_cleaners(text):
|
| 160 |
+
'''Pipeline for English text, including abbreviation expansion.'''
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| 161 |
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text = convert_to_ascii(text)
|
| 162 |
+
text = lowercase(text)
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| 163 |
+
text = expand_abbreviations(text)
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| 164 |
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phonemes = phonemize(text, language='en-us', backend='espeak', strip=True)
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| 165 |
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phonemes = collapse_whitespace(phonemes)
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| 166 |
+
return phonemes
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| 167 |
+
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| 168 |
+
|
| 169 |
+
def english_cleaners2(text):
|
| 170 |
+
'''Pipeline for English text, including abbreviation expansion. + punctuation + stress'''
|
| 171 |
+
text = convert_to_ascii(text)
|
| 172 |
+
text = lowercase(text)
|
| 173 |
+
text = expand_abbreviations(text)
|
| 174 |
+
phonemes = phonemize(text, language='en-us', backend='espeak', strip=True, preserve_punctuation=True,
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| 175 |
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with_stress=True)
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| 176 |
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phonemes = collapse_whitespace(phonemes)
|
| 177 |
+
return phonemes
|
| 178 |
+
|
| 179 |
+
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| 180 |
+
def chinese_cleaners1(text):
|
| 181 |
+
from pypinyin import Style, pinyin
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| 182 |
+
|
| 183 |
+
phones = [phone[0] for phone in pinyin(text, style=Style.TONE3)]
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| 184 |
+
return ' '.join(phones)
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| 185 |
+
|
| 186 |
+
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| 187 |
+
def chinese_cleaners2(text):
|
| 188 |
+
phones = [
|
| 189 |
+
p
|
| 190 |
+
for phone in pinyin(text, style=Style.TONE3)
|
| 191 |
+
for p in [
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| 192 |
+
get_initials(phone[0], strict=True),
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| 193 |
+
get_finals(phone[0][:-1], strict=True) + phone[0][-1]
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| 194 |
+
if phone[0][-1].isdigit()
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| 195 |
+
else get_finals(phone[0], strict=True)
|
| 196 |
+
if phone[0][-1].isalnum()
|
| 197 |
+
else phone[0],
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| 198 |
+
]
|
| 199 |
+
# Remove the case of individual tones as a phoneme
|
| 200 |
+
if len(p) != 0 and not p.isdigit()
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| 201 |
+
]
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| 202 |
+
return phones
|
| 203 |
+
# return phonemes
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