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This commit is contained in:
litagin02
2024-03-11 09:47:47 +09:00
parent 42ee7d7608
commit c776c08235
31 changed files with 463 additions and 298 deletions
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7
style_bert_vits2/nlp/__init__.py
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@@ -74,16 +74,19 @@ def clean_text(
if language == Languages.JP:
from style_bert_vits2.nlp.japanese.g2p import g2p
from style_bert_vits2.nlp.japanese.normalizer import normalize_text
norm_text = normalize_text(text)
phones, tones, word2ph = g2p(norm_text, use_jp_extra, raise_yomi_error)
elif language == Languages.EN:
from style_bert_vits2.nlp.english.g2p import g2p
from style_bert_vits2.nlp.english.normalizer import normalize_text
norm_text = normalize_text(text)
phones, tones, word2ph = g2p(norm_text)
elif language == Languages.ZH:
from style_bert_vits2.nlp.chinese.g2p import g2p
from style_bert_vits2.nlp.chinese.normalizer import normalize_text
norm_text = normalize_text(text)
phones, tones, word2ph = g2p(norm_text)
else:
@@ -92,7 +95,9 @@ def clean_text(
return norm_text, phones, tones, word2ph
def cleaned_text_to_sequence(cleaned_phones: list[str], tones: list[int], language: Languages) -> tuple[list[int], list[int], list[int]]:
def cleaned_text_to_sequence(
cleaned_phones: list[str], tones: list[int], language: Languages
) -> tuple[list[int], list[int], list[int]]:
"""
テキスト文字列を、テキスト内の記号に対応する一連の ID に変換する