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 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_lazy_ipa, english_to_ipa2, english_to_lazy_ipa2
from text.thai import num_to_thai, latin_to_thai
from unidecode import unidecode
from phonemizer import phonemize
from pypinyin import Style, pinyin
from pypinyin.style._utils import get_finals, get_initials
# Regular expression matching whitespace:
_whitespace_re = re.compile(r'\s+')

# 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'),
]]
# from text.shanghainese import shanghainese_to_ipa
# from text.cantonese import cantonese_to_ipa
# from text.ngu_dialect import ngu_dialect_to_ipa


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)
    text = number_to_hangul(text)
    text = divide_hangul(text)
    text = re.sub(r'([\u3131-\u3163])$', r'\1.', text)
    return text


def chinese_cleaners(text):
    '''Pipeline for Chinese text'''
    text = text.replace("[ZH]", "")
    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 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

def english_cleaners(text):
    '''Pipeline for English text, including abbreviation expansion.'''
    text = convert_to_ascii(text)
    text = lowercase(text)
    text = expand_abbreviations(text)
    phonemes = phonemize(text, language='en-us', backend='espeak', strip=True)
    phonemes = collapse_whitespace(phonemes)
    return phonemes


def english_cleaners2(text):
    '''Pipeline for English text, including abbreviation expansion. + punctuation + stress'''
    text = convert_to_ascii(text)
    text = lowercase(text)
    text = expand_abbreviations(text)
    phonemes = phonemize(text, language='en-us', backend='espeak', strip=True, preserve_punctuation=True,
                         with_stress=True)
    phonemes = collapse_whitespace(phonemes)
    return phonemes


def chinese_cleaners1(text):
    from pypinyin import Style, pinyin

    phones = [phone[0] for phone in pinyin(text, style=Style.TONE3)]
    return ' '.join(phones)


def chinese_cleaners2(text):
    phones = [
        p
        for phone in pinyin(text, style=Style.TONE3)
        for p in [
            get_initials(phone[0], strict=True),
            get_finals(phone[0][:-1], strict=True) + phone[0][-1]
            if phone[0][-1].isdigit()
            else get_finals(phone[0], strict=True)
            if phone[0][-1].isalnum()
            else phone[0],
        ]
        # Remove the case of individual tones as a phoneme
        if len(p) != 0 and not p.isdigit()
    ]
    return phones
    # return phonemes