feat: 增加openvoice库

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killua committed 2024-05-22 15:28:23 +08:00
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""" from https://github.com/keithito/tacotron """
from utils.tts.openvoice.text import cleaners
from utils.tts.openvoice.text.symbols import symbols
# Mappings from symbol to numeric ID and vice versa:
_symbol_to_id = {s: i for i, s in enumerate(symbols)}
_id_to_symbol = {i: s for i, s in enumerate(symbols)}
def text_to_sequence(text, symbols, cleaner_names):
'''Converts a string of text to a sequence of IDs corresponding to the symbols in the text.
Args:
text: string to convert to a sequence
cleaner_names: names of the cleaner functions to run the text through
Returns:
List of integers corresponding to the symbols in the text
'''
sequence = []
symbol_to_id = {s: i for i, s in enumerate(symbols)}
clean_text = _clean_text(text, cleaner_names)
print(clean_text)
print(f" length:{len(clean_text)}")
for symbol in clean_text:
if symbol not in symbol_to_id.keys():
continue
symbol_id = symbol_to_id[symbol]
sequence += [symbol_id]
print(f" length:{len(sequence)}")
return sequence
def cleaned_text_to_sequence(cleaned_text, symbols):
'''Converts a string of text to a sequence of IDs corresponding to the symbols in the text.
Args:
text: string to convert to a sequence
Returns:
List of integers corresponding to the symbols in the text
'''
symbol_to_id = {s: i for i, s in enumerate(symbols)}
sequence = [symbol_to_id[symbol] for symbol in cleaned_text if symbol in symbol_to_id.keys()]
return sequence
from utils.tts.openvoice.text.symbols import language_tone_start_map
def cleaned_text_to_sequence_vits2(cleaned_text, tones, language, symbols, languages):
"""Converts a string of text to a sequence of IDs corresponding to the symbols in the text.
Args:
text: string to convert to a sequence
Returns:
List of integers corresponding to the symbols in the text
"""
symbol_to_id = {s: i for i, s in enumerate(symbols)}
language_id_map = {s: i for i, s in enumerate(languages)}
phones = [symbol_to_id[symbol] for symbol in cleaned_text]
tone_start = language_tone_start_map[language]
tones = [i + tone_start for i in tones]
lang_id = language_id_map[language]
lang_ids = [lang_id for i in phones]
return phones, tones, lang_ids
def sequence_to_text(sequence):
'''Converts a sequence of IDs back to a string'''
result = ''
for symbol_id in sequence:
s = _id_to_symbol[symbol_id]
result += s
return result
def _clean_text(text, cleaner_names):
for name in cleaner_names:
cleaner = getattr(cleaners, name)
if not cleaner:
raise Exception('Unknown cleaner: %s' % name)
text = cleaner(text)
return text
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import re
from utils.tts.openvoice.text.english import english_to_lazy_ipa, english_to_ipa2, english_to_lazy_ipa2
from utils.tts.openvoice.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
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
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""" from https://github.com/keithito/tacotron """
'''
Cleaners are transformations that run over the input text at both training and eval time.
Cleaners can be selected by passing a comma-delimited list of cleaner names as the "cleaners"
hyperparameter. Some cleaners are English-specific. You'll typically want to use:
1. "english_cleaners" for English text
2. "transliteration_cleaners" for non-English text that can be transliterated to ASCII using
the Unidecode library (https://pypi.python.org/pypi/Unidecode)
3. "basic_cleaners" if you do not want to transliterate (in this case, you should also update
the symbols in symbols.py to match your data).
'''
# Regular expression matching whitespace:
import re
import inflect
from unidecode import unidecode
import eng_to_ipa as ipa
_inflect = inflect.engine()
_comma_number_re = re.compile(r'([0-9][0-9\,]+[0-9])')
_decimal_number_re = re.compile(r'([0-9]+\.[0-9]+)')
_pounds_re = re.compile(r'£([0-9\,]*[0-9]+)')
_dollars_re = re.compile(r'\$([0-9\.\,]*[0-9]+)')
_ordinal_re = re.compile(r'[0-9]+(st|nd|rd|th)')
_number_re = re.compile(r'[0-9]+')
# 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'),
]]
# List of (ipa, lazy ipa) pairs:
_lazy_ipa = [(re.compile('%s' % x[0]), x[1]) for x in [
('r', 'ɹ'),
('æ', 'e'),
('ɑ', 'a'),
('ɔ', 'o'),
('ð', 'z'),
('θ', 's'),
('ɛ', 'e'),
('ɪ', 'i'),
('ʊ', 'u'),
('ʒ', 'ʥ'),
('ʤ', 'ʥ'),
('ˈ', '↓'),
]]
# List of (ipa, lazy ipa2) pairs:
_lazy_ipa2 = [(re.compile('%s' % x[0]), x[1]) for x in [
('r', 'ɹ'),
('ð', 'z'),
('θ', 's'),
('ʒ', 'ʑ'),
('ʤ', 'dʑ'),
('ˈ', '↓'),
]]
# List of (ipa, ipa2) pairs
_ipa_to_ipa2 = [(re.compile('%s' % x[0]), x[1]) for x in [
('r', 'ɹ'),
('ʤ', 'dʒ'),
('ʧ', 'tʃ')
]]
def expand_abbreviations(text):
for regex, replacement in _abbreviations:
text = re.sub(regex, replacement, text)
return text
def collapse_whitespace(text):
return re.sub(r'\s+', ' ', text)
def _remove_commas(m):
return m.group(1).replace(',', '')
def _expand_decimal_point(m):
return m.group(1).replace('.', ' point ')
def _expand_dollars(m):
match = m.group(1)
parts = match.split('.')
if len(parts) > 2:
return match + ' dollars' # Unexpected format
dollars = int(parts[0]) if parts[0] else 0
cents = int(parts[1]) if len(parts) > 1 and parts[1] else 0
if dollars and cents:
dollar_unit = 'dollar' if dollars == 1 else 'dollars'
cent_unit = 'cent' if cents == 1 else 'cents'
return '%s %s, %s %s' % (dollars, dollar_unit, cents, cent_unit)
elif dollars:
dollar_unit = 'dollar' if dollars == 1 else 'dollars'
return '%s %s' % (dollars, dollar_unit)
elif cents:
cent_unit = 'cent' if cents == 1 else 'cents'
return '%s %s' % (cents, cent_unit)
else:
return 'zero dollars'
def _expand_ordinal(m):
return _inflect.number_to_words(m.group(0))
def _expand_number(m):
num = int(m.group(0))
if num > 1000 and num < 3000:
if num == 2000:
return 'two thousand'
elif num > 2000 and num < 2010:
return 'two thousand ' + _inflect.number_to_words(num % 100)
elif num % 100 == 0:
return _inflect.number_to_words(num // 100) + ' hundred'
else:
return _inflect.number_to_words(num, andword='', zero='oh', group=2).replace(', ', ' ')
else:
return _inflect.number_to_words(num, andword='')
def normalize_numbers(text):
text = re.sub(_comma_number_re, _remove_commas, text)
text = re.sub(_pounds_re, r'\1 pounds', text)
text = re.sub(_dollars_re, _expand_dollars, text)
text = re.sub(_decimal_number_re, _expand_decimal_point, text)
text = re.sub(_ordinal_re, _expand_ordinal, text)
text = re.sub(_number_re, _expand_number, text)
return text
def mark_dark_l(text):
return re.sub(r'l([^aeiouæɑɔəɛɪʊ ]*(?: |$))', lambda x: 'ɫ'+x.group(1), text)
def english_to_ipa(text):
text = unidecode(text).lower()
text = expand_abbreviations(text)
text = normalize_numbers(text)
phonemes = ipa.convert(text)
phonemes = collapse_whitespace(phonemes)
return phonemes
def english_to_lazy_ipa(text):
text = english_to_ipa(text)
for regex, replacement in _lazy_ipa:
text = re.sub(regex, replacement, text)
return text
def english_to_ipa2(text):
text = english_to_ipa(text)
text = mark_dark_l(text)
for regex, replacement in _ipa_to_ipa2:
text = re.sub(regex, replacement, text)
return text.replace('...', '…')
def english_to_lazy_ipa2(text):
text = english_to_ipa(text)
for regex, replacement in _lazy_ipa2:
text = re.sub(regex, replacement, text)
return text
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import os
import sys
import re
from pypinyin import lazy_pinyin, BOPOMOFO
import jieba
import cn2an
import logging
# List of (Latin alphabet, bopomofo) pairs:
_latin_to_bopomofo = [(re.compile('%s' % x[0], re.IGNORECASE), x[1]) for x in [
('a', 'ㄟˉ'),
('b', 'ㄅㄧˋ'),
('c', 'ㄙㄧˉ'),
('d', 'ㄉㄧˋ'),
('e', 'ㄧˋ'),
('f', 'ㄝˊㄈㄨˋ'),
('g', 'ㄐㄧˋ'),
('h', 'ㄝˇㄑㄩˋ'),
('i', 'ㄞˋ'),
('j', 'ㄐㄟˋ'),
('k', 'ㄎㄟˋ'),
('l', 'ㄝˊㄛˋ'),
('m', 'ㄝˊㄇㄨˋ'),
('n', 'ㄣˉ'),
('o', 'ㄡˉ'),
('p', 'ㄆㄧˉ'),
('q', 'ㄎㄧㄡˉ'),
('r', 'ㄚˋ'),
('s', 'ㄝˊㄙˋ'),
('t', 'ㄊㄧˋ'),
('u', 'ㄧㄡˉ'),
('v', 'ㄨㄧˉ'),
('w', 'ㄉㄚˋㄅㄨˋㄌㄧㄡˋ'),
('x', 'ㄝˉㄎㄨˋㄙˋ'),
('y', 'ㄨㄞˋ'),
('z', 'ㄗㄟˋ')
]]
# List of (bopomofo, romaji) pairs:
_bopomofo_to_romaji = [(re.compile('%s' % x[0]), x[1]) for x in [
('ㄅㄛ', 'p⁼wo'),
('ㄆㄛ', 'pʰwo'),
('ㄇㄛ', 'mwo'),
('ㄈㄛ', 'fwo'),
('ㄅ', 'p⁼'),
('ㄆ', 'pʰ'),
('ㄇ', 'm'),
('ㄈ', 'f'),
('ㄉ', 't⁼'),
('ㄊ', 'tʰ'),
('ㄋ', 'n'),
('ㄌ', 'l'),
('ㄍ', 'k⁼'),
('ㄎ', 'kʰ'),
('ㄏ', 'h'),
('ㄐ', 'ʧ⁼'),
('ㄑ', 'ʧʰ'),
('ㄒ', 'ʃ'),
('ㄓ', 'ʦ`⁼'),
('ㄔ', 'ʦ`ʰ'),
('ㄕ', 's`'),
('ㄖ', 'ɹ`'),
('ㄗ', 'ʦ⁼'),
('ㄘ', 'ʦʰ'),
('ㄙ', 's'),
('ㄚ', 'a'),
('ㄛ', 'o'),
('ㄜ', 'ə'),
('ㄝ', 'e'),
('ㄞ', 'ai'),
('ㄟ', 'ei'),
('ㄠ', 'au'),
('ㄡ', 'ou'),
('ㄧㄢ', 'yeNN'),
('ㄢ', 'aNN'),
('ㄧㄣ', 'iNN'),
('ㄣ', 'əNN'),
('ㄤ', 'aNg'),
('ㄧㄥ', 'iNg'),
('ㄨㄥ', 'uNg'),
('ㄩㄥ', 'yuNg'),
('ㄥ', 'əNg'),
('ㄦ', 'əɻ'),
('ㄧ', 'i'),
('ㄨ', 'u'),
('ㄩ', 'ɥ'),
('ˉ', '→'),
('ˊ', '↑'),
('ˇ', '↓↑'),
('ˋ', '↓'),
('˙', ''),
(',', ','),
('。', '.'),
('!', '!'),
('?', '?'),
('—', '-')
]]
# List of (romaji, ipa) pairs:
_romaji_to_ipa = [(re.compile('%s' % x[0], re.IGNORECASE), x[1]) for x in [
('ʃy', 'ʃ'),
('ʧʰy', 'ʧʰ'),
('ʧ⁼y', 'ʧ⁼'),
('NN', 'n'),
('Ng', 'ŋ'),
('y', 'j'),
('h', 'x')
]]
# List of (bopomofo, ipa) pairs:
_bopomofo_to_ipa = [(re.compile('%s' % x[0]), x[1]) for x in [
('ㄅㄛ', 'p⁼wo'),
('ㄆㄛ', 'pʰwo'),
('ㄇㄛ', 'mwo'),
('ㄈㄛ', 'fwo'),
('ㄅ', 'p⁼'),
('ㄆ', 'pʰ'),
('ㄇ', 'm'),
('ㄈ', 'f'),
('ㄉ', 't⁼'),
('ㄊ', 'tʰ'),
('ㄋ', 'n'),
('ㄌ', 'l'),
('ㄍ', 'k⁼'),
('ㄎ', 'kʰ'),
('ㄏ', 'x'),
('ㄐ', 'tʃ⁼'),
('ㄑ', 'tʃʰ'),
('ㄒ', 'ʃ'),
('ㄓ', 'ts`⁼'),
('ㄔ', 'ts`ʰ'),
('ㄕ', 's`'),
('ㄖ', 'ɹ`'),
('ㄗ', 'ts⁼'),
('ㄘ', 'tsʰ'),
('ㄙ', 's'),
('ㄚ', 'a'),
('ㄛ', 'o'),
('ㄜ', 'ə'),
('ㄝ', 'ɛ'),
('ㄞ', 'aɪ'),
('ㄟ', 'eɪ'),
('ㄠ', 'ɑʊ'),
('ㄡ', 'oʊ'),
('ㄧㄢ', 'jɛn'),
('ㄩㄢ', 'ɥæn'),
('ㄢ', 'an'),
('ㄧㄣ', 'in'),
('ㄩㄣ', 'ɥn'),
('ㄣ', 'ən'),
('ㄤ', 'ɑŋ'),
('ㄧㄥ', 'iŋ'),
('ㄨㄥ', 'ʊŋ'),
('ㄩㄥ', 'jʊŋ'),
('ㄥ', 'əŋ'),
('ㄦ', 'əɻ'),
('ㄧ', 'i'),
('ㄨ', 'u'),
('ㄩ', 'ɥ'),
('ˉ', '→'),
('ˊ', '↑'),
('ˇ', '↓↑'),
('ˋ', '↓'),
('˙', ''),
(',', ','),
('。', '.'),
('!', '!'),
('?', '?'),
('—', '-')
]]
# List of (bopomofo, ipa2) pairs:
_bopomofo_to_ipa2 = [(re.compile('%s' % x[0]), x[1]) for x in [
('ㄅㄛ', 'pwo'),
('ㄆㄛ', 'pʰwo'),
('ㄇㄛ', 'mwo'),
('ㄈㄛ', 'fwo'),
('ㄅ', 'p'),
('ㄆ', 'pʰ'),
('ㄇ', 'm'),
('ㄈ', 'f'),
('ㄉ', 't'),
('ㄊ', 'tʰ'),
('ㄋ', 'n'),
('ㄌ', 'l'),
('ㄍ', 'k'),
('ㄎ', 'kʰ'),
('ㄏ', 'h'),
('ㄐ', 'tɕ'),
('ㄑ', 'tɕʰ'),
('ㄒ', 'ɕ'),
('ㄓ', 'tʂ'),
('ㄔ', 'tʂʰ'),
('ㄕ', 'ʂ'),
('ㄖ', 'ɻ'),
('ㄗ', 'ts'),
('ㄘ', 'tsʰ'),
('ㄙ', 's'),
('ㄚ', 'a'),
('ㄛ', 'o'),
('ㄜ', 'ɤ'),
('ㄝ', 'ɛ'),
('ㄞ', 'aɪ'),
('ㄟ', 'eɪ'),
('ㄠ', 'ɑʊ'),
('ㄡ', 'oʊ'),
('ㄧㄢ', 'jɛn'),
('ㄩㄢ', 'yæn'),
('ㄢ', 'an'),
('ㄧㄣ', 'in'),
('ㄩㄣ', 'yn'),
('ㄣ', 'ən'),
('ㄤ', 'ɑŋ'),
('ㄧㄥ', 'iŋ'),
('ㄨㄥ', 'ʊŋ'),
('ㄩㄥ', 'jʊŋ'),
('ㄥ', 'ɤŋ'),
('ㄦ', 'əɻ'),
('ㄧ', 'i'),
('ㄨ', 'u'),
('ㄩ', 'y'),
('ˉ', '˥'),
('ˊ', '˧˥'),
('ˇ', '˨˩˦'),
('ˋ', '˥˩'),
('˙', ''),
(',', ','),
('。', '.'),
('!', '!'),
('?', '?'),
('—', '-')
]]
def number_to_chinese(text):
numbers = re.findall(r'\d+(?:\.?\d+)?', text)
for number in numbers:
text = text.replace(number, cn2an.an2cn(number), 1)
return text
def chinese_to_bopomofo(text):
text = text.replace('、', ',').replace(';', ',').replace(':', ',')
words = jieba.lcut(text, cut_all=False)
text = ''
for word in words:
bopomofos = lazy_pinyin(word, BOPOMOFO)
if not re.search('[\u4e00-\u9fff]', word):
text += word
continue
for i in range(len(bopomofos)):
bopomofos[i] = re.sub(r'([\u3105-\u3129])$', r'\1ˉ', bopomofos[i])
if text != '':
text += ' '
text += ''.join(bopomofos)
return text
def latin_to_bopomofo(text):
for regex, replacement in _latin_to_bopomofo:
text = re.sub(regex, replacement, text)
return text
def bopomofo_to_romaji(text):
for regex, replacement in _bopomofo_to_romaji:
text = re.sub(regex, replacement, text)
return text
def bopomofo_to_ipa(text):
for regex, replacement in _bopomofo_to_ipa:
text = re.sub(regex, replacement, text)
return text
def bopomofo_to_ipa2(text):
for regex, replacement in _bopomofo_to_ipa2:
text = re.sub(regex, replacement, text)
return text
def chinese_to_romaji(text):
text = number_to_chinese(text)
text = chinese_to_bopomofo(text)
text = latin_to_bopomofo(text)
text = bopomofo_to_romaji(text)
text = re.sub('i([aoe])', r'y\1', text)
text = re.sub('u([aoəe])', r'w\1', text)
text = re.sub('([ʦsɹ]`[⁼ʰ]?)([→↓↑ ]+|$)',
r'\1ɹ`\2', text).replace('ɻ', 'ɹ`')
text = re.sub('([ʦs][⁼ʰ]?)([→↓↑ ]+|$)', r'\1ɹ\2', text)
return text
def chinese_to_lazy_ipa(text):
text = chinese_to_romaji(text)
for regex, replacement in _romaji_to_ipa:
text = re.sub(regex, replacement, text)
return text
def chinese_to_ipa(text):
text = number_to_chinese(text)
text = chinese_to_bopomofo(text)
text = latin_to_bopomofo(text)
text = bopomofo_to_ipa(text)
text = re.sub('i([aoe])', r'j\1', text)
text = re.sub('u([aoəe])', r'w\1', text)
text = re.sub('([sɹ]`[⁼ʰ]?)([→↓↑ ]+|$)',
r'\1ɹ`\2', text).replace('ɻ', 'ɹ`')
text = re.sub('([s][⁼ʰ]?)([→↓↑ ]+|$)', r'\1ɹ\2', text)
return text
def chinese_to_ipa2(text):
text = number_to_chinese(text)
text = chinese_to_bopomofo(text)
text = latin_to_bopomofo(text)
text = bopomofo_to_ipa2(text)
text = re.sub(r'i([aoe])', r'j\1', text)
text = re.sub(r'u([aoəe])', r'w\1', text)
text = re.sub(r'([ʂɹ]ʰ?)([˩˨˧˦˥ ]+|$)', r'\1ʅ\2', text)
text = re.sub(r'(sʰ?)([˩˨˧˦˥ ]+|$)', r'\1ɿ\2', text)
return text
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'''
Defines the set of symbols used in text input to the model.
'''
# japanese_cleaners
# _pad = '_'
# _punctuation = ',.!?-'
# _letters = 'AEINOQUabdefghijkmnoprstuvwyzʃʧ↓↑ '
'''# japanese_cleaners2
_pad = '_'
_punctuation = ',.!?-~…'
_letters = 'AEINOQUabdefghijkmnoprstuvwyzʃʧʦ↓↑ '
'''
'''# korean_cleaners
_pad = '_'
_punctuation = ',.!?…~'
_letters = 'ㄱㄴㄷㄹㅁㅂㅅㅇㅈㅊㅋㅌㅍㅎㄲㄸㅃㅆㅉㅏㅓㅗㅜㅡㅣㅐㅔ '
'''
'''# chinese_cleaners
_pad = '_'
_punctuation = ',。!?—…'
_letters = 'ㄅㄆㄇㄈㄉㄊㄋㄌㄍㄎㄏㄐㄑㄒㄓㄔㄕㄖㄗㄘㄙㄚㄛㄜㄝㄞㄟㄠㄡㄢㄣㄤㄥㄦㄧㄨㄩˉˊˇˋ˙ '
'''
# # zh_ja_mixture_cleaners
# _pad = '_'
# _punctuation = ',.!?-~…'
# _letters = 'AEINOQUabdefghijklmnoprstuvwyzʃʧʦɯɹəɥ⁼ʰ`→↓↑ '
'''# sanskrit_cleaners
_pad = '_'
_punctuation = '।'
_letters = 'ँंःअआइईउऊऋएऐओऔकखगघङचछजझञटठडढणतथदधनपफबभमयरलळवशषसहऽािीुूृॄेैोौ्ॠॢ '
'''
'''# cjks_cleaners
_pad = '_'
_punctuation = ',.!?-~…'
_letters = 'NQabdefghijklmnopstuvwxyzʃʧʥʦɯɹəɥçɸɾβŋɦː⁼ʰ`^#*=→↓↑ '
'''
'''# thai_cleaners
_pad = '_'
_punctuation = '.!? '
_letters = 'กขฃคฆงจฉชซฌญฎฏฐฑฒณดตถทธนบปผฝพฟภมยรฤลวศษสหฬอฮฯะัาำิีึืุูเแโใไๅๆ็่้๊๋์'
'''
# # cjke_cleaners2
_pad = '_'
_punctuation = ',.!?-~…'
_letters = 'NQabdefghijklmnopstuvwxyzɑæʃʑçɯɪɔɛɹðəɫɥɸʊɾʒθβŋɦ⁼ʰ`^#*=ˈˌ→↓↑ '
'''# shanghainese_cleaners
_pad = '_'
_punctuation = ',.!?…'
_letters = 'abdfghiklmnopstuvyzøŋȵɑɔɕəɤɦɪɿʑʔʰ̩̃ᴀᴇ15678 '
'''
'''# chinese_dialect_cleaners
_pad = '_'
_punctuation = ',.!?~…─'
_letters = '#Nabdefghijklmnoprstuvwxyzæçøŋœȵɐɑɒɓɔɕɗɘəɚɛɜɣɤɦɪɭɯɵɷɸɻɾɿʂʅʊʋʌʏʑʔʦʮʰʷˀː˥˦˧˨˩̥̩̃̚ᴀᴇ↑↓∅ⱼ '
'''
# Export all symbols:
symbols = [_pad] + list(_punctuation) + list(_letters)
# Special symbol ids
SPACE_ID = symbols.index(" ")
num_ja_tones = 1
num_kr_tones = 1
num_zh_tones = 6
num_en_tones = 4
language_tone_start_map = {
"ZH": 0,
"JP": num_zh_tones,
"EN": num_zh_tones + num_ja_tones,
'KR': num_zh_tones + num_ja_tones + num_en_tones,
}