Refactor: split style_bert_vits2.nlp.chinese package
Configured so that the same public function is exported from the module with the same name for each language.
This commit is contained in:
tsukumi
@@ -1,193 +0,0 @@
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import os
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import re
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import cn2an
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import jieba.posseg as psg
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from pypinyin import lazy_pinyin, Style
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from style_bert_vits2.nlp.chinese.tone_sandhi import ToneSandhi
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from style_bert_vits2.nlp.symbols import PUNCTUATIONS
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current_file_path = os.path.dirname(__file__)
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pinyin_to_symbol_map = {
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line.split("\t")[0]: line.strip().split("\t")[1]
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for line in open(os.path.join(current_file_path, "opencpop-strict.txt")).readlines()
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}
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rep_map = {
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"：": ",",
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"；": ",",
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"，": ",",
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"。": ".",
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"！": "!",
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"？": "?",
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"\n": ".",
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"·": ",",
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"、": ",",
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"...": "…",
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"$": ".",
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"“": "'",
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"”": "'",
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'"': "'",
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"‘": "'",
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"’": "'",
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"（": "'",
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"）": "'",
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"(": "'",
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")": "'",
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"《": "'",
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"》": "'",
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"【": "'",
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"】": "'",
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"[": "'",
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"]": "'",
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"—": "-",
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"～": "-",
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"~": "-",
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"「": "'",
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"」": "'",
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}
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tone_modifier = ToneSandhi()
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def replace_punctuation(text):
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text = text.replace("嗯", "恩").replace("呣", "母")
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pattern = re.compile("|".join(re.escape(p) for p in rep_map.keys()))
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replaced_text = pattern.sub(lambda x: rep_map[x.group()], text)
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replaced_text = re.sub(
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r"[^\u4e00-\u9fa5" + "".join(PUNCTUATIONS) + r"]+", "", replaced_text
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)
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return replaced_text
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def g2p(text: str) -> tuple[list[str], list[int], list[int]]:
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pattern = r"(?<=[{0}])\s*".format("".join(PUNCTUATIONS))
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sentences = [i for i in re.split(pattern, text) if i.strip() != ""]
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phones, tones, word2ph = _g2p(sentences)
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assert sum(word2ph) == len(phones)
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assert len(word2ph) == len(text) # Sometimes it will crash,you can add a try-catch.
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phones = ["_"] + phones + ["_"]
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tones = [0] + tones + [0]
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word2ph = [1] + word2ph + [1]
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return phones, tones, word2ph
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def _get_initials_finals(word):
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initials = []
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finals = []
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orig_initials = lazy_pinyin(word, neutral_tone_with_five=True, style=Style.INITIALS)
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orig_finals = lazy_pinyin(
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word, neutral_tone_with_five=True, style=Style.FINALS_TONE3
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)
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for c, v in zip(orig_initials, orig_finals):
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initials.append(c)
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finals.append(v)
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return initials, finals
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def _g2p(segments):
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phones_list = []
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tones_list = []
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word2ph = []
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for seg in segments:
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# Replace all English words in the sentence
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seg = re.sub("[a-zA-Z]+", "", seg)
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seg_cut = psg.lcut(seg)
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initials = []
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finals = []
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seg_cut = tone_modifier.pre_merge_for_modify(seg_cut)
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for word, pos in seg_cut:
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if pos == "eng":
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continue
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sub_initials, sub_finals = _get_initials_finals(word)
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sub_finals = tone_modifier.modified_tone(word, pos, sub_finals)
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initials.append(sub_initials)
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finals.append(sub_finals)
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# assert len(sub_initials) == len(sub_finals) == len(word)
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initials = sum(initials, [])
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finals = sum(finals, [])
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#
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for c, v in zip(initials, finals):
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raw_pinyin = c + v
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# NOTE: post process for pypinyin outputs
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# we discriminate i, ii and iii
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if c == v:
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assert c in PUNCTUATIONS
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phone = [c]
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tone = "0"
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word2ph.append(1)
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else:
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v_without_tone = v[:-1]
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tone = v[-1]
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pinyin = c + v_without_tone
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assert tone in "12345"
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if c:
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# 多音节
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v_rep_map = {
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"uei": "ui",
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"iou": "iu",
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"uen": "un",
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}
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if v_without_tone in v_rep_map.keys():
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pinyin = c + v_rep_map[v_without_tone]
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else:
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# 单音节
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pinyin_rep_map = {
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"ing": "ying",
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"i": "yi",
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"in": "yin",
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"u": "wu",
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}
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if pinyin in pinyin_rep_map.keys():
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pinyin = pinyin_rep_map[pinyin]
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else:
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single_rep_map = {
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"v": "yu",
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"e": "e",
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"i": "y",
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"u": "w",
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}
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if pinyin[0] in single_rep_map.keys():
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pinyin = single_rep_map[pinyin[0]] + pinyin[1:]
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assert pinyin in pinyin_to_symbol_map.keys(), (pinyin, seg, raw_pinyin)
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phone = pinyin_to_symbol_map[pinyin].split(" ")
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word2ph.append(len(phone))
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phones_list += phone
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tones_list += [int(tone)] * len(phone)
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return phones_list, tones_list, word2ph
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def normalize_text(text: str) -> str:
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numbers = re.findall(r"\d+(?:\.?\d+)?", text)
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for number in numbers:
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text = text.replace(number, cn2an.an2cn(number), 1)
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text = replace_punctuation(text)
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return text
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if __name__ == "__main__":
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from style_bert_vits2.nlp.chinese.bert_feature import extract_bert_feature
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text = "啊！但是《原神》是由,米哈\游自主， [研发]的一款全.新开放世界.冒险游戏"
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text = normalize_text(text)
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print(text)
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phones, tones, word2ph = g2p(text)
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bert = extract_bert_feature(text, word2ph, 'cuda')
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print(phones, tones, word2ph, bert.shape)
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# # 示例用法
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# text = "这是一个示例文本：,你好！这是一个测试...."
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# print(g2p_paddle(text)) # 输出: 这是一个示例文本你好这是一个测试
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135
style_bert_vits2/nlp/chinese/g2p.py
Normal file
135
style_bert_vits2/nlp/chinese/g2p.py
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@@ -0,0 +1,135 @@
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import re
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from pathlib import Path
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import jieba.posseg as psg
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from pypinyin import lazy_pinyin, Style
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from style_bert_vits2.nlp.chinese.tone_sandhi import ToneSandhi
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from style_bert_vits2.nlp.symbols import PUNCTUATIONS
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__PINYIN_TO_SYMBOL_MAP = {
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line.split("\t")[0]: line.strip().split("\t")[1]
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for line in open(Path(__file__).parent / "opencpop-strict.txt").readlines()
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}
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def g2p(text: str) -> tuple[list[str], list[int], list[int]]:
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pattern = r"(?<=[{0}])\s*".format("".join(PUNCTUATIONS))
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sentences = [i for i in re.split(pattern, text) if i.strip() != ""]
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phones, tones, word2ph = __g2p(sentences)
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assert sum(word2ph) == len(phones)
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assert len(word2ph) == len(text) # Sometimes it will crash,you can add a try-catch.
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phones = ["_"] + phones + ["_"]
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tones = [0] + tones + [0]
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word2ph = [1] + word2ph + [1]
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return phones, tones, word2ph
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def __g2p(segments: list[str]) -> tuple[list[str], list[int], list[int]]:
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phones_list = []
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tones_list = []
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word2ph = []
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tone_modifier = ToneSandhi()
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for seg in segments:
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# Replace all English words in the sentence
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seg = re.sub("[a-zA-Z]+", "", seg)
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seg_cut = psg.lcut(seg)
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initials = []
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finals = []
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seg_cut = tone_modifier.pre_merge_for_modify(seg_cut) # type: ignore
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for word, pos in seg_cut:
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if pos == "eng":
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continue
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sub_initials, sub_finals = __get_initials_finals(word)
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sub_finals = tone_modifier.modified_tone(word, pos, sub_finals)
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initials.append(sub_initials)
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finals.append(sub_finals)
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# assert len(sub_initials) == len(sub_finals) == len(word)
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initials = sum(initials, [])
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finals = sum(finals, [])
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#
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for c, v in zip(initials, finals):
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raw_pinyin = c + v
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# NOTE: post process for pypinyin outputs
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# we discriminate i, ii and iii
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if c == v:
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assert c in PUNCTUATIONS
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phone = [c]
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tone = "0"
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word2ph.append(1)
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else:
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v_without_tone = v[:-1]
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tone = v[-1]
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pinyin = c + v_without_tone
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assert tone in "12345"
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if c:
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# 多音节
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v_rep_map = {
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"uei": "ui",
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"iou": "iu",
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"uen": "un",
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}
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if v_without_tone in v_rep_map.keys():
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pinyin = c + v_rep_map[v_without_tone]
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else:
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# 单音节
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pinyin_rep_map = {
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"ing": "ying",
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"i": "yi",
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"in": "yin",
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"u": "wu",
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}
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if pinyin in pinyin_rep_map.keys():
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pinyin = pinyin_rep_map[pinyin]
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else:
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single_rep_map = {
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"v": "yu",
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"e": "e",
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"i": "y",
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"u": "w",
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}
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if pinyin[0] in single_rep_map.keys():
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pinyin = single_rep_map[pinyin[0]] + pinyin[1:]
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assert pinyin in __PINYIN_TO_SYMBOL_MAP.keys(), (pinyin, seg, raw_pinyin)
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phone = __PINYIN_TO_SYMBOL_MAP[pinyin].split(" ")
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word2ph.append(len(phone))
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phones_list += phone
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tones_list += [int(tone)] * len(phone)
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return phones_list, tones_list, word2ph
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def __get_initials_finals(word: str) -> tuple[list[str], list[str]]:
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initials = []
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finals = []
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orig_initials = lazy_pinyin(word, neutral_tone_with_five=True, style=Style.INITIALS)
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orig_finals = lazy_pinyin(
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word, neutral_tone_with_five=True, style=Style.FINALS_TONE3
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)
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for c, v in zip(orig_initials, orig_finals):
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initials.append(c)
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finals.append(v)
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return initials, finals
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if __name__ == "__main__":
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from style_bert_vits2.nlp.chinese.bert_feature import extract_bert_feature
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from style_bert_vits2.nlp.chinese.normalizer import normalize_text
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text = "啊！但是《原神》是由,米哈游自主， [研发]的一款全.新开放世界.冒险游戏"
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text = normalize_text(text)
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print(text)
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phones, tones, word2ph = g2p(text)
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bert = extract_bert_feature(text, word2ph, 'cuda')
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print(phones, tones, word2ph, bert.shape)
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# 示例用法
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# text = "这是一个示例文本：,你好！这是一个测试...."
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# print(g2p_paddle(text)) # 输出: 这是一个示例文本你好这是一个测试
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61
style_bert_vits2/nlp/chinese/normalizer.py
Normal file
61
style_bert_vits2/nlp/chinese/normalizer.py
Normal file
@@ -0,0 +1,61 @@
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import re
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import cn2an
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from style_bert_vits2.nlp.symbols import PUNCTUATIONS
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def normalize_text(text: str) -> str:
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numbers = re.findall(r"\d+(?:\.?\d+)?", text)
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for number in numbers:
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text = text.replace(number, cn2an.an2cn(number), 1)
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text = replace_punctuation(text)
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return text
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def replace_punctuation(text: str) -> str:
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REPLACE_MAP = {
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"：": ",",
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"；": ",",
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"，": ",",
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"。": ".",
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"！": "!",
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"？": "?",
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"\n": ".",
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"·": ",",
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"、": ",",
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"...": "…",
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"$": ".",
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"“": "'",
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"”": "'",
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'"': "'",
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"‘": "'",
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"’": "'",
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"（": "'",
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"）": "'",
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"(": "'",
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")": "'",
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"《": "'",
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"》": "'",
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"【": "'",
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"】": "'",
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"[": "'",
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"]": "'",
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"—": "-",
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"～": "-",
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"~": "-",
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"「": "'",
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"」": "'",
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}
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text = text.replace("嗯", "恩").replace("呣", "母")
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pattern = re.compile("|".join(re.escape(p) for p in REPLACE_MAP.keys()))
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replaced_text = pattern.sub(lambda x: REPLACE_MAP[x.group()], text)
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replaced_text = re.sub(
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r"[^\u4e00-\u9fa5" + "".join(PUNCTUATIONS) + r"]+", "", replaced_text
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)
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return replaced_text
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429
style_bert_vits2/nlp/chinese/opencpop-strict.txt
Normal file
429
style_bert_vits2/nlp/chinese/opencpop-strict.txt
Normal file
@@ -0,0 +1,429 @@
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a AA a
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ai AA ai
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an AA an
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ang AA ang
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ao AA ao
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ba b a
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bai b ai
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ban b an
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bang b ang
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bao b ao
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bei b ei
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ben b en
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beng b eng
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bi b i
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bian b ian
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biao b iao
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bie b ie
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bin b in
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bing b ing
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bo b o
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bu b u
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ca c a
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cai c ai
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can c an
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cang c ang
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cao c ao
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ce c e
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cei c ei
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cen c en
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ceng c eng
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cha ch a
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chai ch ai
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chan ch an
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chang ch ang
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chao ch ao
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che ch e
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chen ch en
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cheng ch eng
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chi ch ir
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chong ch ong
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chou ch ou
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chu ch u
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chua ch ua
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chuai ch uai
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chuan ch uan
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chuang ch uang
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chui ch ui
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chun ch un
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chuo ch uo
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ci c i0
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cong c ong
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cou c ou
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cu c u
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cuan c uan
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cui c ui
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cun c un
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cuo c uo
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da d a
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dai d ai
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dan d an
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dang d ang
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dao d ao
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de d e
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dei d ei
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den d en
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deng d eng
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di d i
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dia d ia
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dian d ian
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diao d iao
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die d ie
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ding d ing
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diu d iu
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dong d ong
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dou d ou
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du d u
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duan d uan
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dui d ui
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dun d un
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duo d uo
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e EE e
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ei EE ei
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en EE en
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eng EE eng
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er EE er
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fa f a
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fan f an
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fang f ang
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fei f ei
|
||||
fen f en
|
||||
feng f eng
|
||||
fo f o
|
||||
fou f ou
|
||||
fu f u
|
||||
ga g a
|
||||
gai g ai
|
||||
gan g an
|
||||
gang g ang
|
||||
gao g ao
|
||||
ge g e
|
||||
gei g ei
|
||||
gen g en
|
||||
geng g eng
|
||||
gong g ong
|
||||
gou g ou
|
||||
gu g u
|
||||
gua g ua
|
||||
guai g uai
|
||||
guan g uan
|
||||
guang g uang
|
||||
gui g ui
|
||||
gun g un
|
||||
guo g uo
|
||||
ha h a
|
||||
hai h ai
|
||||
han h an
|
||||
hang h ang
|
||||
hao h ao
|
||||
he h e
|
||||
hei h ei
|
||||
hen h en
|
||||
heng h eng
|
||||
hong h ong
|
||||
hou h ou
|
||||
hu h u
|
||||
hua h ua
|
||||
huai h uai
|
||||
huan h uan
|
||||
huang h uang
|
||||
hui h ui
|
||||
hun h un
|
||||
huo h uo
|
||||
ji j i
|
||||
jia j ia
|
||||
jian j ian
|
||||
jiang j iang
|
||||
jiao j iao
|
||||
jie j ie
|
||||
jin j in
|
||||
jing j ing
|
||||
jiong j iong
|
||||
jiu j iu
|
||||
ju j v
|
||||
jv j v
|
||||
juan j van
|
||||
jvan j van
|
||||
jue j ve
|
||||
jve j ve
|
||||
jun j vn
|
||||
jvn j vn
|
||||
ka k a
|
||||
kai k ai
|
||||
kan k an
|
||||
kang k ang
|
||||
kao k ao
|
||||
ke k e
|
||||
kei k ei
|
||||
ken k en
|
||||
keng k eng
|
||||
kong k ong
|
||||
kou k ou
|
||||
ku k u
|
||||
kua k ua
|
||||
kuai k uai
|
||||
kuan k uan
|
||||
kuang k uang
|
||||
kui k ui
|
||||
kun k un
|
||||
kuo k uo
|
||||
la l a
|
||||
lai l ai
|
||||
lan l an
|
||||
lang l ang
|
||||
lao l ao
|
||||
le l e
|
||||
lei l ei
|
||||
leng l eng
|
||||
li l i
|
||||
lia l ia
|
||||
lian l ian
|
||||
liang l iang
|
||||
liao l iao
|
||||
lie l ie
|
||||
lin l in
|
||||
ling l ing
|
||||
liu l iu
|
||||
lo l o
|
||||
long l ong
|
||||
lou l ou
|
||||
lu l u
|
||||
luan l uan
|
||||
lun l un
|
||||
luo l uo
|
||||
lv l v
|
||||
lve l ve
|
||||
ma m a
|
||||
mai m ai
|
||||
man m an
|
||||
mang m ang
|
||||
mao m ao
|
||||
me m e
|
||||
mei m ei
|
||||
men m en
|
||||
meng m eng
|
||||
mi m i
|
||||
mian m ian
|
||||
miao m iao
|
||||
mie m ie
|
||||
min m in
|
||||
ming m ing
|
||||
miu m iu
|
||||
mo m o
|
||||
mou m ou
|
||||
mu m u
|
||||
na n a
|
||||
nai n ai
|
||||
nan n an
|
||||
nang n ang
|
||||
nao n ao
|
||||
ne n e
|
||||
nei n ei
|
||||
nen n en
|
||||
neng n eng
|
||||
ni n i
|
||||
nian n ian
|
||||
niang n iang
|
||||
niao n iao
|
||||
nie n ie
|
||||
nin n in
|
||||
ning n ing
|
||||
niu n iu
|
||||
nong n ong
|
||||
nou n ou
|
||||
nu n u
|
||||
nuan n uan
|
||||
nun n un
|
||||
nuo n uo
|
||||
nv n v
|
||||
nve n ve
|
||||
o OO o
|
||||
ou OO ou
|
||||
pa p a
|
||||
pai p ai
|
||||
pan p an
|
||||
pang p ang
|
||||
pao p ao
|
||||
pei p ei
|
||||
pen p en
|
||||
peng p eng
|
||||
pi p i
|
||||
pian p ian
|
||||
piao p iao
|
||||
pie p ie
|
||||
pin p in
|
||||
ping p ing
|
||||
po p o
|
||||
pou p ou
|
||||
pu p u
|
||||
qi q i
|
||||
qia q ia
|
||||
qian q ian
|
||||
qiang q iang
|
||||
qiao q iao
|
||||
qie q ie
|
||||
qin q in
|
||||
qing q ing
|
||||
qiong q iong
|
||||
qiu q iu
|
||||
qu q v
|
||||
qv q v
|
||||
quan q van
|
||||
qvan q van
|
||||
que q ve
|
||||
qve q ve
|
||||
qun q vn
|
||||
qvn q vn
|
||||
ran r an
|
||||
rang r ang
|
||||
rao r ao
|
||||
re r e
|
||||
ren r en
|
||||
reng r eng
|
||||
ri r ir
|
||||
rong r ong
|
||||
rou r ou
|
||||
ru r u
|
||||
rua r ua
|
||||
ruan r uan
|
||||
rui r ui
|
||||
run r un
|
||||
ruo r uo
|
||||
sa s a
|
||||
sai s ai
|
||||
san s an
|
||||
sang s ang
|
||||
sao s ao
|
||||
se s e
|
||||
sen s en
|
||||
seng s eng
|
||||
sha sh a
|
||||
shai sh ai
|
||||
shan sh an
|
||||
shang sh ang
|
||||
shao sh ao
|
||||
she sh e
|
||||
shei sh ei
|
||||
shen sh en
|
||||
sheng sh eng
|
||||
shi sh ir
|
||||
shou sh ou
|
||||
shu sh u
|
||||
shua sh ua
|
||||
shuai sh uai
|
||||
shuan sh uan
|
||||
shuang sh uang
|
||||
shui sh ui
|
||||
shun sh un
|
||||
shuo sh uo
|
||||
si s i0
|
||||
song s ong
|
||||
sou s ou
|
||||
su s u
|
||||
suan s uan
|
||||
sui s ui
|
||||
sun s un
|
||||
suo s uo
|
||||
ta t a
|
||||
tai t ai
|
||||
tan t an
|
||||
tang t ang
|
||||
tao t ao
|
||||
te t e
|
||||
tei t ei
|
||||
teng t eng
|
||||
ti t i
|
||||
tian t ian
|
||||
tiao t iao
|
||||
tie t ie
|
||||
ting t ing
|
||||
tong t ong
|
||||
tou t ou
|
||||
tu t u
|
||||
tuan t uan
|
||||
tui t ui
|
||||
tun t un
|
||||
tuo t uo
|
||||
wa w a
|
||||
wai w ai
|
||||
wan w an
|
||||
wang w ang
|
||||
wei w ei
|
||||
wen w en
|
||||
weng w eng
|
||||
wo w o
|
||||
wu w u
|
||||
xi x i
|
||||
xia x ia
|
||||
xian x ian
|
||||
xiang x iang
|
||||
xiao x iao
|
||||
xie x ie
|
||||
xin x in
|
||||
xing x ing
|
||||
xiong x iong
|
||||
xiu x iu
|
||||
xu x v
|
||||
xv x v
|
||||
xuan x van
|
||||
xvan x van
|
||||
xue x ve
|
||||
xve x ve
|
||||
xun x vn
|
||||
xvn x vn
|
||||
ya y a
|
||||
yan y En
|
||||
yang y ang
|
||||
yao y ao
|
||||
ye y E
|
||||
yi y i
|
||||
yin y in
|
||||
ying y ing
|
||||
yo y o
|
||||
yong y ong
|
||||
you y ou
|
||||
yu y v
|
||||
yv y v
|
||||
yuan y van
|
||||
yvan y van
|
||||
yue y ve
|
||||
yve y ve
|
||||
yun y vn
|
||||
yvn y vn
|
||||
za z a
|
||||
zai z ai
|
||||
zan z an
|
||||
zang z ang
|
||||
zao z ao
|
||||
ze z e
|
||||
zei z ei
|
||||
zen z en
|
||||
zeng z eng
|
||||
zha zh a
|
||||
zhai zh ai
|
||||
zhan zh an
|
||||
zhang zh ang
|
||||
zhao zh ao
|
||||
zhe zh e
|
||||
zhei zh ei
|
||||
zhen zh en
|
||||
zheng zh eng
|
||||
zhi zh ir
|
||||
zhong zh ong
|
||||
zhou zh ou
|
||||
zhu zh u
|
||||
zhua zh ua
|
||||
zhuai zh uai
|
||||
zhuan zh uan
|
||||
zhuang zh uang
|
||||
zhui zh ui
|
||||
zhun zh un
|
||||
zhuo zh uo
|
||||
zi z i0
|
||||
zong z ong
|
||||
zou z ou
|
||||
zu z u
|
||||
zuan z uan
|
||||
zui z ui
|
||||
zun z un
|
||||
zuo z uo
|
||||
Reference in New Issue
Block a user