text/cleaners.py

import re
from text.japanese import japanese_to_romaji_with_accent, japanese_to_ipa, japanese_to_ipa2, japanese_to_ipa3
from text.korean import latin_to_hangul, number_to_hangul, divide_hangul, korean_to_lazy_ipa, korean_to_ipa
from g2pk2 import G2p
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
#from text.sanskrit import devanagari_to_ipa
from text.english import english_to_ipa, english_to_lazy_ipa, english_to_ipa2, english_to_lazy_ipa2
#from text.thai import num_to_thai, latin_to_thai
#from text.shanghainese import shanghainese_to_ipa
#from text.cantonese import cantonese_to_ipa
#from text.ngu_dialect import ngu_dialect_to_ipa
from unidecode import unidecode
from phonemizer import phonemize


_whitespace_re = re.compile(r'\s+')

# Regular expression matching Japanese without punctuation marks:
_japanese_characters = re.compile(r'[A-Za-z\d\u3005\u3040-\u30ff\u4e00-\u9fff\uff11-\uff19\uff21-\uff3a\uff41-\uff5a\uff66-\uff9d]')

# Regular expression matching non-Japanese characters or punctuation marks:
_japanese_marks = re.compile(r'[^A-Za-z\d\u3005\u3040-\u30ff\u4e00-\u9fff\uff11-\uff19\uff21-\uff3a\uff41-\uff5a\uff66-\uff9d]')

# List of (regular expression, replacement) pairs for abbreviations:
_abbreviations = [(re.compile('\\b%s\\.' % x[0], re.IGNORECASE), x[1]) for x in [
  ('mrs', 'misess'),
  ('mr', 'mister'),
  ('dr', 'doctor'),
  ('st', 'saint'),
  ('co', 'company'),
  ('jr', 'junior'),
  ('maj', 'major'),
  ('gen', 'general'),
  ('drs', 'doctors'),
  ('rev', 'reverend'),
  ('lt', 'lieutenant'),
  ('hon', 'honorable'),
  ('sgt', 'sergeant'),
  ('capt', 'captain'),
  ('esq', 'esquire'),
  ('ltd', 'limited'),
  ('col', 'colonel'),
  ('ft', 'fort'),
]]


def expand_abbreviations(text):
  for regex, replacement in _abbreviations:
    text = re.sub(regex, replacement, text)
  return text

def collapse_whitespace(text):
    return re.sub(_whitespace_re, ' ', text)


def convert_to_ascii(text):
    return unidecode(text)

#- For replication of https://github.com/FENRlR/MB-iSTFT-VITS2/issues/2
# you may need to replace the symbol to Russian one
def basic_cleaners(text):
    '''Basic pipeline that lowercases and collapses whitespace without transliteration.'''
    text = text.lower()
    text = collapse_whitespace(text)
    return text


def fix_g2pk2_error(text):
    new_text = ""
    i = 0
    while i < len(text) - 4:
        if (text[i:i+3] == 'ㅇㅡㄹ' or text[i:i+3] == 'ㄹㅡㄹ') and text[i+3] == ' ' and text[i+4] == 'ㄹ':
            new_text += text[i:i+3] + ' ' + 'ㄴ'
            i += 5
        else:
            new_text += text[i]
            i += 1

    new_text += text[i:]
    return new_text


def english_cleaners(text):
  return english_to_ipa(text)


def english_cleaners2(text):
  return english_to_ipa2(text)


def english_cleaners3(text): # needs espeak - apt-get install espeak
    text = convert_to_ascii(text)
    text = expand_abbreviations(text.lower())
    phonemes = phonemize(text, language='en-us', backend='espeak', strip=True, preserve_punctuation=True,with_stress=True)
    phonemes = collapse_whitespace(phonemes)
    return phonemes


def japanese_cleaners(text):
    text = japanese_to_romaji_with_accent(text)
    text = re.sub(r'([A-Za-z])$', r'\1.', text)
    return text


def japanese_cleaners2(text):
    return japanese_cleaners(text).replace('ts', 'ʦ').replace('...', '…')


def korean_cleaners(text):
    '''Pipeline for Korean text'''
    text = latin_to_hangul(text)
    g2p = G2p()
    text = g2p(text)
    text = divide_hangul(text)
    text = fix_g2pk2_error(text)
    text = re.sub(r'([\u3131-\u3163])$', r'\1.', text)
    return text


def korean_cleaners2(text): # KO part from cjke
    '''Pipeline for Korean text'''
    korean_to_ipa(text)
    text = re.sub(r'\s+$', '', text)
    text = re.sub(r'([^\.,!\?\-…~])$', r'\1.', text)
    return text


def chinese_cleaners(text):
    '''Pipeline for Chinese text'''
    text = number_to_chinese(text)
    text = chinese_to_bopomofo(text)
    text = latin_to_bopomofo(text)
    text = re.sub(r'([ˉˊˇˋ˙])$', r'\1。', text)
    return text


def zh_ja_mixture_cleaners(text):
    text = re.sub(r'\[ZH\](.*?)\[ZH\]',
                  lambda x: chinese_to_romaji(x.group(1))+' ', text)
    text = re.sub(r'\[JA\](.*?)\[JA\]', lambda x: japanese_to_romaji_with_accent(
        x.group(1)).replace('ts', 'ʦ').replace('u', 'ɯ').replace('...', '…')+' ', text)
    text = re.sub(r'\s+$', '', text)
    text = re.sub(r'([^\.,!\?\-…~])$', r'\1.', text)
    return text


def sanskrit_cleaners(text):
    text = text.replace('॥', '।').replace('ॐ', 'ओम्')
    text = re.sub(r'([^।])$', r'\1।', text)
    return text


def kej_cleaners(text):
    text = re.sub(r'\[KO\](.*?)\[KO\]',
                  lambda x: korean_to_ipa(x.group(1))+' ', text)
    text = re.sub(r'\[EN\](.*?)\[EN\]',
                  lambda x: english_to_ipa2(x.group(1)) + ' ', text)
    text = re.sub(r'\[JA\](.*?)\[JA\]',
                  lambda x: japanese_to_ipa2(x.group(1)) + ' ', text)
    text = re.sub(r'\s+$', '', text)
    text = re.sub(r'([^\.,!\?\-…~])$', r'\1.', text)
    return text


def cjks_cleaners(text):
    text = re.sub(r'\[ZH\](.*?)\[ZH\]',
                  lambda x: chinese_to_lazy_ipa(x.group(1))+' ', text)
    text = re.sub(r'\[JA\](.*?)\[JA\]',
                  lambda x: japanese_to_ipa(x.group(1))+' ', text)
    text = re.sub(r'\[KO\](.*?)\[KO\]',
                  lambda x: korean_to_lazy_ipa(x.group(1))+' ', text)
    #text = re.sub(r'\[SA\](.*?)\[SA\]',
    #              lambda x: devanagari_to_ipa(x.group(1))+' ', text)
    text = re.sub(r'\[EN\](.*?)\[EN\]',
                  lambda x: english_to_lazy_ipa(x.group(1))+' ', text)
    text = re.sub(r'\s+$', '', text)
    text = re.sub(r'([^\.,!\?\-…~])$', r'\1.', text)
    return text

def cjke_cleaners(text):
    text = re.sub(r'\[ZH\](.*?)\[ZH\]', lambda x: chinese_to_lazy_ipa(x.group(1)).replace(
        'ʧ', 'tʃ').replace('ʦ', 'ts').replace('ɥan', 'ɥæn')+' ', text)
    text = re.sub(r'\[JA\](.*?)\[JA\]', lambda x: japanese_to_ipa(x.group(1)).replace('ʧ', 'tʃ').replace(
        'ʦ', 'ts').replace('ɥan', 'ɥæn').replace('ʥ', 'dz')+' ', text)
    text = re.sub(r'\[KO\](.*?)\[KO\]',
                  lambda x: korean_to_ipa(x.group(1))+' ', text)
    text = re.sub(r'\[EN\](.*?)\[EN\]', lambda x: english_to_ipa2(x.group(1)).replace('ɑ', 'a').replace(
        'ɔ', 'o').replace('ɛ', 'e').replace('ɪ', 'i').replace('ʊ', 'u')+' ', text)
    text = re.sub(r'\s+$', '', text)
    text = re.sub(r'([^\.,!\?\-…~])$', r'\1.', text)
    return text

def cjke_cleaners2(text):
    text = re.sub(r'\[ZH\](.*?)\[ZH\]',
                  lambda x: chinese_to_ipa(x.group(1))+' ', text)
    text = re.sub(r'\[JA\](.*?)\[JA\]',
                  lambda x: japanese_to_ipa2(x.group(1))+' ', text)
    text = re.sub(r'\[KO\](.*?)\[KO\]',
                  lambda x: korean_to_ipa(x.group(1))+' ', text)
    text = re.sub(r'\[EN\](.*?)\[EN\]',
                  lambda x: english_to_ipa2(x.group(1))+' ', text)
    text = re.sub(r'\s+$', '', text)
    text = re.sub(r'([^\.,!\?\-…~])$', r'\1.', text)
    return text

'''
def thai_cleaners(text):
    text = num_to_thai(text)
    text = latin_to_thai(text)
    return text


def shanghainese_cleaners(text):
    text = shanghainese_to_ipa(text)
    text = re.sub(r'([^\.,!\?\-…~])$', r'\1.', text)
    return text


def chinese_dialect_cleaners(text):
    text = re.sub(r'\[ZH\](.*?)\[ZH\]',
                  lambda x: chinese_to_ipa2(x.group(1))+' ', text)
    text = re.sub(r'\[JA\](.*?)\[JA\]',
                  lambda x: japanese_to_ipa3(x.group(1)).replace('Q', 'ʔ')+' ', text)
    text = re.sub(r'\[SH\](.*?)\[SH\]', lambda x: shanghainese_to_ipa(x.group(1)).replace('1', '˥˧').replace('5',
                  '˧˧˦').replace('6', '˩˩˧').replace('7', '˥').replace('8', '˩˨').replace('ᴀ', 'ɐ').replace('ᴇ', 'e')+' ', text)
    text = re.sub(r'\[GD\](.*?)\[GD\]',
                  lambda x: cantonese_to_ipa(x.group(1))+' ', text)
    text = re.sub(r'\[EN\](.*?)\[EN\]',
                  lambda x: english_to_lazy_ipa2(x.group(1))+' ', text)
    text = re.sub(r'\[([A-Z]{2})\](.*?)\[\1\]', lambda x: ngu_dialect_to_ipa(x.group(2), x.group(
        1)).replace('ʣ', 'dz').replace('ʥ', 'dʑ').replace('ʦ', 'ts').replace('ʨ', 'tɕ')+' ', text)
    text = re.sub(r'\s+$', '', text)
    text = re.sub(r'([^\.,!\?\-…~])$', r'\1.', text)
    return text
'''