import re import config from unidecode import unidecode from phonemizer import phonemize from phonemizer.backend.espeak.wrapper import EspeakWrapper ESPEAK_LIBRARY = getattr(config, "ESPEAK_LIBRARY", "") if ESPEAK_LIBRARY != "": EspeakWrapper.set_library(ESPEAK_LIBRARY) # 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 transliteration_cleaners(text): '''Pipeline for non-English text that transliterates to ASCII.''' text = unidecode(text) text = text.lower() text = re.sub(r'\s+', ' ', text) text = expand_abbreviations(text) return text # for English text def english_cleaners(text): '''Pipeline for English text, including abbreviation expansion.''' text = re.sub(r'\[EN\](.*?)\[EN\]', lambda x: transliteration_cleaners(x.group(1)) + ' ', text) phonemes = phonemize(text, language='en-us', backend='espeak', strip=True) return phonemes # for non-English text that can be transliterated to ASCII def english_cleaners2(text): '''Pipeline for English text, including abbreviation expansion. + punctuation + stress''' text = re.sub(r'\[EN\](.*?)\[EN\]', lambda x: transliteration_cleaners(x.group(1)) + ' ', text) phonemes = phonemize(text, language='en-us', backend='espeak', strip=True, preserve_punctuation=True, with_stress=True) return phonemes def japanese_cleaners(text): from text.japanese import japanese_to_romaji_with_accent def clean(text): text = japanese_to_romaji_with_accent(text) text = re.sub(r'([A-Za-z])$', r'\1.', text) return text text = re.sub(r'\[JA\](.*?)\[JA\]', lambda x: clean(x.group(1)) + ' ', text) return text def japanese_cleaners2(text): return japanese_cleaners(text).replace('ts', 'ʦ').replace('...', '…') def korean_cleaners(text): '''Pipeline for Korean text''' from text.korean import latin_to_hangul, number_to_hangul, divide_hangul def clean(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 text = re.sub(r'\[KO\](.*?)\[KO\]', lambda x: clean(x.group(1)) + ' ', text) return text def chinese_cleaners(text): '''Pipeline for Chinese text''' from text.mandarin import number_to_chinese, chinese_to_bopomofo, latin_to_bopomofo, symbols_to_chinese def clean(text): text = symbols_to_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 text = re.sub(r'\[ZH\](.*?)\[ZH\]', lambda x: clean(x.group(1)) + ' ', text) return text def zh_ja_mixture_cleaners(text): from text.mandarin import chinese_to_romaji from text.japanese import japanese_to_romaji_with_accent 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): from text.mandarin import chinese_to_lazy_ipa from text.japanese import japanese_to_ipa from text.korean import korean_to_lazy_ipa from text.sanskrit import devanagari_to_ipa from text.english import english_to_lazy_ipa 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): from text.mandarin import chinese_to_lazy_ipa from text.japanese import japanese_to_ipa from text.korean import korean_to_ipa from text.english import english_to_ipa2 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): from text.mandarin import chinese_to_ipa from text.japanese import japanese_to_ipa2 from text.korean import korean_to_ipa from text.english import english_to_ipa2 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 cje_cleaners(text): from text.mandarin import chinese_to_ipa from text.japanese import japanese_to_ipa2 from text.english import english_to_ipa2 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'\[EN\](.*?)\[EN\]', 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): from text.thai import num_to_thai, latin_to_thai def clean(text): text = num_to_thai(text) text = latin_to_thai(text) return text text = re.sub(r'\[TH\](.*?)\[TH\]', lambda x: clean(x.group(1)) + ' ', text) return text def shanghainese_cleaners(text): from text.shanghainese import shanghainese_to_ipa def clean(text): text = shanghainese_to_ipa(text) text = re.sub(r'([^\.,!\?\-…~])$', r'\1.', text) return text text = re.sub(r'\[SH\](.*?)\[SH\]', lambda x: clean(x.group(1)) + ' ', text) return text def chinese_dialect_cleaners(text): from text.mandarin import chinese_to_ipa2 from text.japanese import japanese_to_ipa3 from text.shanghainese import shanghainese_to_ipa from text.cantonese import cantonese_to_ipa from text.english import english_to_lazy_ipa2 from text.ngu_dialect import ngu_dialect_to_ipa 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 bert_chinese_cleaners(text): from text import mandarin matches = re.findall(r"\[ZH\](.*?)\[ZH\]", text) text = "".join(matches) if text[-1] not in [".", "。", ",", ","]: text += "." text = mandarin.symbols_to_chinese(text) text = mandarin.number_transform_to_chinese(text) if not hasattr(bert_chinese_cleaners, "tts_front"): bert_chinese_cleaners.tts_front = mandarin.VITS_PinYin_model() tts_front = bert_chinese_cleaners.tts_front cleaned_text, char_embeds = tts_front.chinese_to_phonemes(text) return cleaned_text, char_embeds