44 lines
1.3 KiB
Python
44 lines
1.3 KiB
Python
from style_bert_vits2.constants import Languages
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from style_bert_vits2.text_processing.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: str, tones: list[int], language: Languages):
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"""
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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(
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text: str,
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word2ph,
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language: Languages,
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device: str,
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assist_text: str | None = None,
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assist_text_weight: float = 0.7,
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):
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if language == Languages.ZH:
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from .chinese_bert import get_bert_feature
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elif language == Languages.EN:
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from .english_bert_mock import get_bert_feature
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elif language == Languages.JP:
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from .japanese_bert import get_bert_feature
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else:
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raise ValueError(f"Language {language} not supported")
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return get_bert_feature(text, word2ph, device, assist_text, assist_text_weight)
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