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from .symbols import * |
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_symbol_to_id = {s: i for i, s in enumerate(symbols)} |
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def cleaned_text_to_sequence(cleaned_text, tones, language): |
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"""Converts a string of text to a sequence of IDs corresponding to the symbols in the text. |
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Args: |
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text: string to convert to a sequence |
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Returns: |
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List of integers corresponding to the symbols in the text |
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""" |
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phones = [_symbol_to_id[symbol] for symbol in cleaned_text] |
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tone_start = language_tone_start_map[language] |
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tones = [i + tone_start for i in tones] |
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lang_id = language_id_map[language] |
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lang_ids = [lang_id for i in phones] |
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return phones, tones, lang_ids |
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def get_bert(norm_text, word2ph, language, device, style_text, style_weight): |
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from .chinese_bert import get_bert_feature as zh_bert |
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from .english_bert_mock import get_bert_feature as en_bert |
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from .japanese_bert import get_bert_feature as jp_bert |
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lang_bert_func_map = {"ZH": zh_bert, "EN": en_bert, "JP": jp_bert} |
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bert = lang_bert_func_map[language]( |
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norm_text, word2ph, device, style_text, style_weight |
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) |
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return bert |
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def check_bert_models(): |
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import json |
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from pathlib import Path |
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from config import config |
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from .bert_utils import _check_bert |
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if config.mirror.lower() == "openi": |
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import openi |
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kwargs = {"token": config.openi_token} if config.openi_token else {} |
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openi.login(**kwargs) |
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with open("./bert/bert_models.json", "r") as fp: |
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models = json.load(fp) |
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for k, v in models.items(): |
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local_path = Path("./bert").joinpath(k) |
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_check_bert(v["repo_id"], v["files"], local_path) |
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check_bert_models() |
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