Carol-Bert-VITS2 / text /__init__.py
XzJosh's picture
Upload 47 files
bf0a127
raw
history blame contribute delete
939 Bytes
from text.symbols import *
_symbol_to_id = {s: i for i, s in enumerate(symbols)}
def cleaned_text_to_sequence(cleaned_text, tones, language):
'''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
'''
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 get_bert(norm_text, word2ph, language):
from .chinese_bert import get_bert_feature as zh_bert
from .english_bert_mock import get_bert_feature as en_bert
lang_bert_func_map = {
'ZH': zh_bert,
'EN': en_bert
}
bert = lang_bert_func_map[language](norm_text, word2ph)
return bert