| from . import cleaned_text_to_sequence | |
| import copy | |
| _language_modules = {} | |
| def _get_language_module(language): | |
| """Lazy import language modules to avoid unnecessary dependencies.""" | |
| if language == 'VI': | |
| from . import vietnamese | |
| _language_modules['VI'] = vietnamese | |
| else: | |
| raise ValueError(f"Unsupported language: {language}") | |
| return _language_modules[language] | |
| def clean_text(text, language): | |
| language_module = _get_language_module(language) | |
| norm_text = language_module.text_normalize(text) | |
| phones, tones, word2ph = language_module.g2p(norm_text) | |
| return norm_text, phones, tones, word2ph | |
| def clean_text_bert(text, language, device=None): | |
| language_module = _get_language_module(language) | |
| norm_text = language_module.text_normalize(text) | |
| phones, tones, word2ph = language_module.g2p(norm_text) | |
| word2ph_bak = copy.deepcopy(word2ph) | |
| for i in range(len(word2ph)): | |
| word2ph[i] = word2ph[i] * 2 | |
| word2ph[0] += 1 | |
| bert = language_module.get_bert_feature(norm_text, word2ph, device=device) | |
| return norm_text, phones, tones, word2ph_bak, bert | |
| def text_to_sequence(text, language): | |
| norm_text, phones, tones, word2ph = clean_text(text, language) | |
| return cleaned_text_to_sequence(phones, tones, language) | |
| if __name__ == "__main__": | |
| pass |