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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): | |
| 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 = {"ZH": zh_bert, "EN": en_bert, "JP": jp_bert} | |
| bert = lang_bert_func_map[language](norm_text, word2ph, device) | |
| return bert | |
| def check_bert_models(): | |
| import json | |
| from pathlib import Path | |
| from config import config | |
| from .bert_utils import _check_bert | |
| if config.mirror.lower() == "openi": | |
| import openi | |
| kwargs = {"token": config.openi_token} if config.openi_token else {} | |
| openi.login(**kwargs) | |
| with open("./bert/bert_models.json", "r") as fp: | |
| models = json.load(fp) | |
| for k, v in models.items(): | |
| local_path = Path("./bert").joinpath(k) | |
| _check_bert(v["repo_id"], v["files"], local_path) | |
| #check_bert_models() | |