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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, device, style_text=None, style_weight=0.7): | |
#from .chinese_bert import get_bert_feature as zh_bert | |
# from .english_bert_mock import get_bert_feature as en_bert | |
from .japanese_bert import get_bert_feature as jp_bert | |
lang_bert_func_map = {"JP": jp_bert} | |
bert = lang_bert_func_map[language]( | |
norm_text, word2ph, device, style_text, style_weight | |
) | |
return bert | |
def init_openjtalk(): | |
import platform | |
if platform.platform() == "Linux": | |
import pyopenjtalk | |
pyopenjtalk.g2p("γγγ«γ‘γ―οΌδΈηγ") | |
init_openjtalk() | |