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@ -324,20 +324,20 @@ def get_first(text):
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return text
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def get_cleaned_text_fianl(text,language):
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def get_cleaned_text_final(text,language):
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if language in {"en","all_zh","all_ja"}:
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phones, word2ph, norm_text = clean_text_inf(text, language)
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elif language in {"zh", "ja","auto"}:
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phones, word2ph, norm_text = nonen_clean_text_inf(text, language)
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return phones, word2ph, norm_text
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def get_bert_final(phones, word2ph, norm_text,language,device):
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def get_bert_final(phones, word2ph, text,language,device):
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if text_language == "en":
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bert = get_bert_inf(phones, word2ph, norm_text, text_language)
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bert = get_bert_inf(phones, word2ph, text, language)
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elif text_language in {"zh", "ja","auto"}:
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bert = nonen_get_bert_inf(text, text_language)
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bert = nonen_get_bert_inf(text, language)
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elif text_language == "all_zh":
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bert = get_bert_feature(norm_text, word2ph).to(device)
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bert = get_bert_feature(text, word2ph).to(device)
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else:
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bert = torch.zeros((1024, len(phones))).to(device)
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return bert
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@ -378,7 +378,7 @@ def get_tts_wav(ref_wav_path, prompt_text, prompt_language, text, text_language,
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prompt_language = dict_language[prompt_language]
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text_language = dict_language[text_language]
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phones1, word2ph1, norm_text1=get_cleaned_text_fianl(prompt_text, prompt_language)
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phones1, word2ph1, norm_text1=get_cleaned_text_final(prompt_text, prompt_language)
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if (how_to_cut == i18n("凑四句一切")):
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text = cut1(text)
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@ -402,7 +402,7 @@ def get_tts_wav(ref_wav_path, prompt_text, prompt_language, text, text_language,
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continue
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if (text[-1] not in splits): text += "。" if text_language != "en" else "."
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print(i18n("实际输入的目标文本(每句):"), text)
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phones2, word2ph2, norm_text2 = get_cleaned_text_fianl(text, text_language)
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phones2, word2ph2, norm_text2 = get_cleaned_text_final(text, text_language)
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bert2 = get_bert_final(phones2, word2ph2, norm_text2, text_language, device).to(dtype)
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bert = torch.cat([bert1, bert2], 1)
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