| from text.symbols import * |
|
|
| _symbol_to_id = {s: i for i, s in enumerate(symbols)} |
|
|
|
|
| def cleaned_text_to_sequence(cleaned_text, tones, language): |
| """Converts a string of text to a sequence of IDs corresponding to the symbols in the text. |
| Args: |
| text: string to convert to a sequence |
| Returns: |
| List of integers corresponding to the symbols in the text |
| """ |
| phones = [_symbol_to_id[symbol] for symbol in cleaned_text] |
| tone_start = language_tone_start_map[language] |
| tones = [i + tone_start for i in tones] |
| lang_id = language_id_map[language] |
| lang_ids = [lang_id for i in phones] |
| return phones, tones, lang_ids |
|
|
|
|
| def get_bert(norm_text, word2ph, language, device, style_text=None, style_weight=0.7): |
| from .chinese_bert import get_bert_feature as zh_bert |
|
|
| |
| |
|
|
| lang_bert_func_map = {"ZH": zh_bert} |
| bert = lang_bert_func_map[language]( |
| norm_text, word2ph, device, style_text, style_weight |
| ) |
| return bert |
|
|
|
|
| def init_openjtalk(): |
| import platform |
|
|
| if platform.platform() == "Linux": |
| import pyopenjtalk |
|
|
| pyopenjtalk.g2p("こんにちは,世界。") |
|
|
|
|
| init_openjtalk() |
|
|