Add SongBloom files directly - remove git clone dependency

SongBloom/g2p/cn_zh_g2p/__init__.py

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+from . import chinese,  english # , japanese 暂时干掉看看
+from .symbols import *
+import yaml
+language_module_map = {"zh": chinese, "en": english} #, "ja": japanese
+
+def is_chinese(uchar):
+    if uchar >= u'\u4e00' and uchar <= u'\u9fa5':
+        return True
+    else:
+        return False
+
+import re
+
+# def split_text(text):
+#     chinese_pattern = r'[\u4e00-\u9fa5][\u4e00-\u9fa5\ \,\.\!\?\，\。]+'
+#     english_pattern = r'[a-zA-Z][a-zA-Z\'\ \,\.\!\?]+'
+    
+#     chinese_text = re.findall(chinese_pattern, text)
+#     print(chinese_text)
+#     english_text = re.findall(english_pattern, text)
+    
+#     return chinese_text, english_text
+
+def split_text(text):
+    pattern = re.compile("|".join(re.escape(p) for p in chinese.rep_map.keys()))
+    text = pattern.sub(lambda x: chinese.rep_map[x.group()], text)
+
+    result = []
+    lang = []
+    buffer = ""
+    chinese_pattern = r'[\u4e00-\u9fa5]'
+    special_pattern = r'[\,\.\!\?\…\-]'
+    # TODO check 一下
+    for char in text:
+        if re.match(special_pattern, char):
+            if buffer:
+                if not re.match(chinese_pattern, buffer[0]):
+                    result.append(buffer)
+                    lang.append('en')
+                else:
+                    result.append(buffer)
+                    lang.append("zh")
+            result.append(char)
+            lang.append('sp')
+            buffer = ""
+
+        
+        elif re.match(chinese_pattern, char):
+            if buffer and not re.match(chinese_pattern, buffer[-1]):
+                result.append(buffer)
+                buffer = ""
+                lang.append('en')
+            buffer += char
+        else:
+            if buffer and re.match(chinese_pattern, buffer[-1]):
+                result.append(buffer)
+                buffer = ""
+                lang.append("zh")
+            buffer += char
+
+    if buffer:
+        result.append(buffer)
+        lang.append("zh" if re.match(chinese_pattern, buffer[-1]) else 'en')
+
+    return result, lang
+
+def mixed_language_to_phoneme(text):
+    segments, lang = split_text(text)
+    # print(segments, lang)
+    result = [language_to_phoneme(s, l) for s, l in zip(segments, lang)]
+    phones, word2ph = [], []
+    for p, w, n in result:
+        phones += p
+        if w is None:
+            w = []
+        word2ph += w
+    return phones, word2ph
+
+
+def language_to_phoneme(text, language):
+    if language == 'sp':
+        return [text], None, text
+    language_module = language_module_map[language]
+    norm_text = language_module.text_normalize(text)
+    if language == "zh":
+        phones, word2ph = language_module.g2p(norm_text)
+        assert len(phones) == sum(word2ph)
+        assert len(norm_text) == len(word2ph)
+    else:
+        try:
+            phones = language_module.g2p(norm_text)
+        except:
+            phones = [norm_text]
+        word2ph = None
+
+    # for ph in phones:
+    #     assert ph in symbols, ph
+    return phones, word2ph, norm_text
+
+def gen_vocabs():
+    yaml.dump(symbols, open('./vocab.yaml', 'w'))
+
+class G2P_Mix():
+    def __call__(self, text):
+        phones, word2ph = mixed_language_to_phoneme(text)
+        return ' '.join(phones)

SongBloom/g2p/cn_zh_g2p/chinese.py

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+import os
+import pdb
+import re
+
+import cn2an
+from pypinyin import lazy_pinyin, Style
+
+from .symbols import punctuation
+from .tone_sandhi import ToneSandhi
+from .zh_normalization.text_normlization import TextNormalizer
+
+normalizer = lambda x: cn2an.transform(x, "an2cn")
+
+current_file_path = os.path.dirname(__file__)
+pinyin_to_symbol_map = {
+    line.split("\t")[0]: line.strip().split("\t")[1]
+    for line in open(os.path.join(current_file_path, "opencpop-strict.txt")).readlines()
+}
+
+import jieba_fast.posseg as psg
+
+
+rep_map = {
+    "：": ",",
+    "；": ",",
+    "，": ",",
+    "。": ".",
+    "！": "!",
+    "？": "?",
+    "\n": ".",
+    "·": ",",
+    "、": ",",
+    "...": "…",
+    "$": ".",
+    "/": ",",
+    "—": "-",
+    "~": "…",
+    "～":"…",
+}
+
+tone_modifier = ToneSandhi()
+
+
+def replace_punctuation(text):
+    text = text.replace("嗯", "恩").replace("呣", "母")
+    pattern = re.compile("|".join(re.escape(p) for p in rep_map.keys()))
+
+    replaced_text = pattern.sub(lambda x: rep_map[x.group()], text)
+    replaced_text = re.sub(
+        r"[^\u4e00-\u9fa5" + "".join(punctuation) + r"]+", "", replaced_text
+    )
+
+    return replaced_text
+
+
+def g2p(text):
+    pattern = r"(?<=[{0}])\s*".format("".join(punctuation))
+    sentences = [i for i in re.split(pattern, text) if i.strip() != ""]
+    phones, word2ph = _g2p(sentences)
+    return phones, word2ph
+
+
+def _get_initials_finals(word):
+    initials = []
+    finals = []
+    orig_initials = lazy_pinyin(word, neutral_tone_with_five=True, style=Style.INITIALS)
+    orig_finals = lazy_pinyin(
+        word, neutral_tone_with_five=True, style=Style.FINALS_TONE3
+    )
+    for c, v in zip(orig_initials, orig_finals):
+        initials.append(c)
+        finals.append(v)
+    return initials, finals
+
+
+def _g2p(segments):
+    phones_list = []
+    word2ph = []
+    for seg in segments:
+        pinyins = []
+        # Replace all English words in the sentence
+        seg = re.sub("[a-zA-Z]+", "", seg)
+        seg_cut = psg.lcut(seg)
+        initials = []
+        finals = []
+        seg_cut = tone_modifier.pre_merge_for_modify(seg_cut)
+        for word, pos in seg_cut:
+            if pos == "eng":
+                continue
+            sub_initials, sub_finals = _get_initials_finals(word)
+            sub_finals = tone_modifier.modified_tone(word, pos, sub_finals)
+            initials.append(sub_initials)
+            finals.append(sub_finals)
+
+            # assert len(sub_initials) == len(sub_finals) == len(word)
+        initials = sum(initials, [])
+        finals = sum(finals, [])
+        #
+        for c, v in zip(initials, finals):
+            raw_pinyin = c + v
+            # NOTE: post process for pypinyin outputs
+            # we discriminate i, ii and iii
+            if c == v:
+                assert c in punctuation
+                phone = [c]
+                word2ph.append(1)
+            else:
+                v_without_tone = v[:-1]
+                tone = v[-1]
+
+                pinyin = c + v_without_tone
+                assert tone in "12345"
+
+                if c:
+                    # 多音节
+                    v_rep_map = {
+                        "uei": "ui",
+                        "iou": "iu",
+                        "uen": "un",
+                    }
+                    if v_without_tone in v_rep_map.keys():
+                        pinyin = c + v_rep_map[v_without_tone]
+                else:
+                    # 单音节
+                    pinyin_rep_map = {
+                        "ing": "ying",
+                        "i": "yi",
+                        "in": "yin",
+                        "u": "wu",
+                    }
+                    if pinyin in pinyin_rep_map.keys():
+                        pinyin = pinyin_rep_map[pinyin]
+                    else:
+                        single_rep_map = {
+                            "v": "yu",
+                            "e": "e",
+                            "i": "y",
+                            "u": "w",
+                        }
+                        if pinyin[0] in single_rep_map.keys():
+                            pinyin = single_rep_map[pinyin[0]] + pinyin[1:]
+
+                assert pinyin in pinyin_to_symbol_map.keys(), (pinyin, seg, raw_pinyin)
+                new_c, new_v = pinyin_to_symbol_map[pinyin].split(" ")
+                new_v = new_v + tone
+                phone = [new_c, new_v]
+                word2ph.append(len(phone))
+
+            phones_list += phone
+    return phones_list, word2ph
+
+
+def text_normalize(text):
+    # https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/paddlespeech/t2s/frontend/zh_normalization
+    tx = TextNormalizer()
+    sentences = tx.normalize(text)
+    dest_text = ""
+    for sentence in sentences:
+        dest_text += replace_punctuation(sentence)
+    return dest_text
+
+
+if __name__ == "__main__":
+    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"
+    text = "呣呣呣～就是…大人的鼹鼠党吧？"
+    text = "你好"
+    text = text_normalize(text)
+    print(g2p(text))
+
+
+# # 示例用法
+# text = "这是一个示例文本：,你好！这是一个测试..."
+# print(g2p_paddle(text))  # 输出: 这是一个示例文本你好这是一个测试

SongBloom/g2p/cn_zh_g2p/engdict-hot.rep

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+CHATGPT CH AE1 T JH IY1 P IY1 T IY1
+JSON JH EY1 S AH0 N

SongBloom/g2p/cn_zh_g2p/english.py

@@ -0,0 +1,362 @@
+import pickle
+import os
+import re
+import wordsegment
+from g2p_en import G2p
+
+from string import punctuation
+
+from .symbols import symbols
+
+import unicodedata
+from builtins import str as unicode
+from g2p_en.expand import normalize_numbers
+from nltk.tokenize import TweetTokenizer
+word_tokenize = TweetTokenizer().tokenize
+from nltk import pos_tag
+
+current_file_path = os.path.dirname(__file__)
+CMU_DICT_PATH = os.path.join(current_file_path, "cmudict.rep")
+CMU_DICT_FAST_PATH = os.path.join(current_file_path, "cmudict-fast.rep")
+CMU_DICT_HOT_PATH = os.path.join(current_file_path, "engdict-hot.rep")
+CACHE_PATH = os.path.join(current_file_path, "engdict_cache.pickle")
+NAMECACHE_PATH = os.path.join(current_file_path, "namedict_cache.pickle")
+
+arpa = {
+    "AH0",
+    "S",
+    "AH1",
+    "EY2",
+    "AE2",
+    "EH0",
+    "OW2",
+    "UH0",
+    "NG",
+    "B",
+    "G",
+    "AY0",
+    "M",
+    "AA0",
+    "F",
+    "AO0",
+    "ER2",
+    "UH1",
+    "IY1",
+    "AH2",
+    "DH",
+    "IY0",
+    "EY1",
+    "IH0",
+    "K",
+    "N",
+    "W",
+    "IY2",
+    "T",
+    "AA1",
+    "ER1",
+    "EH2",
+    "OY0",
+    "UH2",
+    "UW1",
+    "Z",
+    "AW2",
+    "AW1",
+    "V",
+    "UW2",
+    "AA2",
+    "ER",
+    "AW0",
+    "UW0",
+    "R",
+    "OW1",
+    "EH1",
+    "ZH",
+    "AE0",
+    "IH2",
+    "IH",
+    "Y",
+    "JH",
+    "P",
+    "AY1",
+    "EY0",
+    "OY2",
+    "TH",
+    "HH",
+    "D",
+    "ER0",
+    "CH",
+    "AO1",
+    "AE1",
+    "AO2",
+    "OY1",
+    "AY2",
+    "IH1",
+    "OW0",
+    "L",
+    "SH",
+}
+
+
+def replace_phs(phs):
+    rep_map = {"'": "-"}
+    phs_new = []
+    for ph in phs:
+        if ph in symbols:
+            phs_new.append(ph)
+        elif ph in rep_map.keys():
+            phs_new.append(rep_map[ph])
+        else:
+            print("ph not in symbols: ", ph)
+    return phs_new
+
+
+def read_dict():
+    g2p_dict = {}
+    start_line = 49
+    with open(CMU_DICT_PATH) as f:
+        line = f.readline()
+        line_index = 1
+        while line:
+            if line_index >= start_line:
+                line = line.strip()
+                word_split = line.split("  ")
+                word = word_split[0].lower()
+
+                syllable_split = word_split[1].split(" - ")
+                g2p_dict[word] = []
+                for syllable in syllable_split:
+                    phone_split = syllable.split(" ")
+                    g2p_dict[word].append(phone_split)
+
+            line_index = line_index + 1
+            line = f.readline()
+
+    return g2p_dict
+
+
+def read_dict_new():
+    g2p_dict = {}
+    with open(CMU_DICT_PATH) as f:
+        line = f.readline()
+        line_index = 1
+        while line:
+            if line_index >= 57:
+                line = line.strip()
+                word_split = line.split("  ")
+                word = word_split[0].lower()
+                g2p_dict[word] = [word_split[1].split(" ")]
+
+            line_index = line_index + 1
+            line = f.readline()
+
+    with open(CMU_DICT_FAST_PATH) as f:
+        line = f.readline()
+        line_index = 1
+        while line:
+            if line_index >= 0:
+                line = line.strip()
+                word_split = line.split(" ")
+                word = word_split[0].lower()
+                if word not in g2p_dict:
+                    g2p_dict[word] = [word_split[1:]]
+
+            line_index = line_index + 1
+            line = f.readline()
+
+    return g2p_dict
+
+def hot_reload_hot(g2p_dict):
+    with open(CMU_DICT_HOT_PATH) as f:
+        line = f.readline()
+        line_index = 1
+        while line:
+            if line_index >= 0:
+                line = line.strip()
+                word_split = line.split(" ")
+                word = word_split[0].lower()
+                # 自定义发音词直接覆盖字典
+                g2p_dict[word] = [word_split[1:]]
+
+            line_index = line_index + 1
+            line = f.readline()
+
+    return g2p_dict
+
+
+def cache_dict(g2p_dict, file_path):
+    with open(file_path, "wb") as pickle_file:
+        pickle.dump(g2p_dict, pickle_file)
+
+
+def get_dict():
+    if os.path.exists(CACHE_PATH):
+        with open(CACHE_PATH, "rb") as pickle_file:
+            g2p_dict = pickle.load(pickle_file)
+    else:
+        g2p_dict = read_dict_new()
+        cache_dict(g2p_dict, CACHE_PATH)
+
+    g2p_dict = hot_reload_hot(g2p_dict)
+
+    return g2p_dict
+
+
+def get_namedict():
+    if os.path.exists(NAMECACHE_PATH):
+        with open(NAMECACHE_PATH, "rb") as pickle_file:
+            name_dict = pickle.load(pickle_file)
+    else:
+        name_dict = {}
+
+    return name_dict
+
+
+def text_normalize(text):
+    # todo: eng text normalize
+    # 适配中文及 g2p_en 标点
+    rep_map = {
+        "[;:：，；]": ",",
+        '["’]': "'",
+        "。": ".",
+        "！": "!",
+        "？": "?",
+    }
+    for p, r in rep_map.items():
+        text = re.sub(p, r, text)
+
+    # 来自 g2p_en 文本格式化处理
+    # 增加大写兼容
+    text = unicode(text)
+    text = normalize_numbers(text)
+    text = ''.join(char for char in unicodedata.normalize('NFD', text)
+                    if unicodedata.category(char) != 'Mn')  # Strip accents
+    text = re.sub("[^ A-Za-z'.,?!\-]", "", text)
+    text = re.sub(r"(?i)i\.e\.", "that is", text)
+    text = re.sub(r"(?i)e\.g\.", "for example", text)
+
+    return text
+
+
+class en_G2p(G2p):
+    def __init__(self):
+        super().__init__()
+        # 分词初始化
+        wordsegment.load()
+
+        # 扩展过时字典, 添加姓名字典
+        self.cmu = get_dict()
+        self.namedict = get_namedict()
+
+        # 剔除读音错误的几个缩写
+        for word in ["AE", "AI", "AR", "IOS", "HUD", "OS"]:
+            del self.cmu[word.lower()]
+
+        # 修正多音字
+        self.homograph2features["read"] = (['R', 'IY1', 'D'], ['R', 'EH1', 'D'], 'VBP')
+        self.homograph2features["complex"] = (['K', 'AH0', 'M', 'P', 'L', 'EH1', 'K', 'S'], ['K', 'AA1', 'M', 'P', 'L', 'EH0', 'K', 'S'], 'JJ')
+
+
+    def __call__(self, text):
+        # tokenization
+        words = word_tokenize(text)
+        tokens = pos_tag(words)  # tuples of (word, tag)
+
+        # steps
+        prons = []
+        for o_word, pos in tokens:
+            # 还原 g2p_en 小写操作逻辑
+            word = o_word.lower()
+
+            if re.search("[a-z]", word) is None:
+                pron = [word]
+            # 先把单字母推出去
+            elif len(word) == 1:
+                # 单读 A 发音修正, 这里需要原格式 o_word 判断大写
+                if o_word == "A":
+                    pron = ['EY1']
+                else:
+                    pron = self.cmu[word][0]
+            # g2p_en 原版多音字处理
+            elif word in self.homograph2features:  # Check homograph
+                pron1, pron2, pos1 = self.homograph2features[word]
+                if pos.startswith(pos1):
+                    pron = pron1
+                # pos1比pos长仅出现在read
+                elif len(pos) < len(pos1) and pos == pos1[:len(pos)]:
+                    pron = pron1
+                else:
+                    pron = pron2
+            else:
+                # 递归查找预测
+                pron = self.qryword(o_word)
+
+            prons.extend(pron)
+            prons.extend([" "])
+
+        return prons[:-1]
+
+
+    def qryword(self, o_word):
+        word = o_word.lower()
+
+        # 查字典, 单字母除外
+        if len(word) > 1 and word in self.cmu:  # lookup CMU dict
+            return self.cmu[word][0]
+
+        # 单词仅首字母大写时查找姓名字典
+        if o_word.istitle() and word in self.namedict:
+            return self.namedict[word][0]
+
+        # oov 长度小于等于 3 直接读字母
+        if len(word) <= 3:
+            phones = []
+            for w in word:
+                # 单读 A 发音修正, 此处不存在大写的情况
+                if w == "a":
+                    phones.extend(['EY1'])
+                else:
+                    phones.extend(self.cmu[w][0])
+            return phones
+
+        # 尝试分离所有格
+        if re.match(r"^([a-z]+)('s)$", word):
+            phones = self.qryword(word[:-2])[:]
+            # P T K F TH HH 无声辅音结尾 's 发 ['S']
+            if phones[-1] in ['P', 'T', 'K', 'F', 'TH', 'HH']:
+                phones.extend(['S'])
+            # S Z SH ZH CH JH 擦声结尾 's 发 ['IH1', 'Z'] 或 ['AH0', 'Z']
+            elif phones[-1] in ['S', 'Z', 'SH', 'ZH', 'CH', 'JH']:
+                phones.extend(['AH0', 'Z'])
+            # B D G DH V M N NG L R W Y 有声辅音结尾 's 发 ['Z']
+            # AH0 AH1 AH2 EY0 EY1 EY2 AE0 AE1 AE2 EH0 EH1 EH2 OW0 OW1 OW2 UH0 UH1 UH2 IY0 IY1 IY2 AA0 AA1 AA2 AO0 AO1 AO2
+            # ER ER0 ER1 ER2 UW0 UW1 UW2 AY0 AY1 AY2 AW0 AW1 AW2 OY0 OY1 OY2 IH IH0 IH1 IH2 元音结尾 's 发 ['Z']
+            else:
+                phones.extend(['Z'])
+            return phones
+
+        # 尝试进行分词，应对复合词
+        comps = wordsegment.segment(word.lower())
+
+        # 无法分词的送回去预测
+        if len(comps)==1:
+            return self.predict(word)
+
+        # 可以分词的递归处理
+        return [phone for comp in comps for phone in self.qryword(comp)]
+
+
+_g2p = en_G2p()
+
+
+def g2p(text):
+    # g2p_en 整段推理，剔除不存在的arpa返回
+    phone_list = _g2p(text)
+    phones = [ph if ph != "<unk>" else "UNK" for ph in phone_list if ph not in [" ", "<pad>", "UW", "</s>", "<s>"]]
+
+    return replace_phs(phones)
+
+
+if __name__ == "__main__":
+    print(g2p("hello"))
+    print(g2p(text_normalize("e.g. I used openai's AI tool to draw a picture.")))
+    print(g2p(text_normalize("In this; paper, we propose 1 DSPGAN, a GAN-based universal vocoder.")))

SongBloom/g2p/cn_zh_g2p/nltk_data/corpora/cmudict/README

@@ -0,0 +1,76 @@
+The Carnegie Mellon Pronouncing Dictionary [cmudict.0.7a]
+
+ftp://ftp.cs.cmu.edu/project/speech/dict/
+https://cmusphinx.svn.sourceforge.net/svnroot/cmusphinx/trunk/cmudict/cmudict.0.7a
+
+Copyright (C) 1993-2008 Carnegie Mellon University. All rights reserved.
+
+File Format: Each line consists of an uppercased word,
+a counter (for alternative pronunciations), and a transcription.
+Vowels are marked for stress (1=primary, 2=secondary, 0=no stress).
+E.g.: NATURAL 1 N AE1 CH ER0 AH0 L
+
+The dictionary contains 127069 entries.  Of these, 119400 words are assigned
+a unique pronunciation, 6830 words have two pronunciations, and 839 words have
+three or more pronunciations.  Many of these are fast-speech variants.
+
+Phonemes: There are 39 phonemes, as shown below:
+    
+    Phoneme Example Translation    Phoneme Example Translation
+    ------- ------- -----------    ------- ------- -----------
+    AA      odd     AA D           AE      at      AE T
+    AH      hut     HH AH T        AO      ought   AO T
+    AW      cow     K AW           AY      hide    HH AY D
+    B       be      B IY           CH      cheese  CH IY Z
+    D       dee     D IY           DH      thee    DH IY
+    EH      Ed      EH D           ER      hurt    HH ER T
+    EY      ate     EY T           F       fee     F IY
+    G       green   G R IY N       HH      he      HH IY
+    IH      it      IH T           IY      eat     IY T
+    JH      gee     JH IY          K       key     K IY
+    L       lee     L IY           M       me      M IY
+    N       knee    N IY           NG      ping    P IH NG
+    OW      oat     OW T           OY      toy     T OY
+    P       pee     P IY           R       read    R IY D
+    S       sea     S IY           SH      she     SH IY
+    T       tea     T IY           TH      theta   TH EY T AH
+    UH      hood    HH UH D        UW      two     T UW
+    V       vee     V IY           W       we      W IY
+    Y       yield   Y IY L D       Z       zee     Z IY
+    ZH      seizure S IY ZH ER
+
+(For NLTK, entries have been sorted so that, e.g. FIRE 1 and FIRE 2
+are contiguous, and not separated by FIRE'S 1.)
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions
+are met:
+
+1. Redistributions of source code must retain the above copyright
+   notice, this list of conditions and the following disclaimer.
+   The contents of this file are deemed to be source code.
+
+2. Redistributions in binary form must reproduce the above copyright
+   notice, this list of conditions and the following disclaimer in
+   the documentation and/or other materials provided with the
+   distribution.
+
+This work was supported in part by funding from the Defense Advanced
+Research Projects Agency, the Office of Naval Research and the National
+Science Foundation of the United States of America, and by member
+companies of the Carnegie Mellon Sphinx Speech Consortium. We acknowledge
+the contributions of many volunteers to the expansion and improvement of
+this dictionary.
+
+THIS SOFTWARE IS PROVIDED BY CARNEGIE MELLON UNIVERSITY ``AS IS'' AND
+ANY EXPRESSED OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
+THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
+PURPOSE ARE DISCLAIMED.  IN NO EVENT SHALL CARNEGIE MELLON UNIVERSITY
+NOR ITS EMPLOYEES BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+

SongBloom/g2p/cn_zh_g2p/opencpop-strict.txt

@@ -0,0 +1,429 @@
+a	AA a
+ai	AA ai
+an	AA an
+ang	AA ang
+ao	AA ao
+ba	b a
+bai	b ai
+ban	b an
+bang	b ang
+bao	b ao
+bei	b ei
+ben	b en
+beng	b eng
+bi	b i
+bian	b ian
+biao	b iao
+bie	b ie
+bin	b in
+bing	b ing
+bo	b o
+bu	b u
+ca	c a
+cai	c ai
+can	c an
+cang	c ang
+cao	c ao
+ce	c e
+cei	c ei
+cen	c en
+ceng	c eng
+cha	ch a
+chai	ch ai
+chan	ch an
+chang	ch ang
+chao	ch ao
+che	ch e
+chen	ch en
+cheng	ch eng
+chi	ch ir
+chong	ch ong
+chou	ch ou
+chu	ch u
+chua	ch ua
+chuai	ch uai
+chuan	ch uan
+chuang	ch uang
+chui	ch ui
+chun	ch un
+chuo	ch uo
+ci	c i0
+cong	c ong
+cou	c ou
+cu	c u
+cuan	c uan
+cui	c ui
+cun	c un
+cuo	c uo
+da	d a
+dai	d ai
+dan	d an
+dang	d ang
+dao	d ao
+de	d e
+dei	d ei
+den	d en
+deng	d eng
+di	d i
+dia	d ia
+dian	d ian
+diao	d iao
+die	d ie
+ding	d ing
+diu	d iu
+dong	d ong
+dou	d ou
+du	d u
+duan	d uan
+dui	d ui
+dun	d un
+duo	d uo
+e	EE e
+ei	EE ei
+en	EE en
+eng	EE eng
+er	EE er
+fa	f a
+fan	f an
+fang	f ang
+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

SongBloom/g2p/cn_zh_g2p/symbols.py

@@ -0,0 +1,401 @@
+import os
+
+# punctuation = ['!', '?', '…', ",", ".","@"]#@是SP停顿
+punctuation = ["!", "?", "…", ",", "."]  # @是SP停顿
+punctuation.append("-")
+pu_symbols = punctuation + ["SP", "SP2", "SP3", "UNK"]
+# pu_symbols = punctuation + ["SP", 'SP2', 'SP3','SP4', "UNK"]
+pad = "_"
+
+c = [
+    "AA",
+    "EE",
+    "OO",
+    "b",
+    "c",
+    "ch",
+    "d",
+    "f",
+    "g",
+    "h",
+    "j",
+    "k",
+    "l",
+    "m",
+    "n",
+    "p",
+    "q",
+    "r",
+    "s",
+    "sh",
+    "t",
+    "w",
+    "x",
+    "y",
+    "z",
+    "zh",
+]
+v = [
+    "E1",
+    "En1",
+    "a1",
+    "ai1",
+    "an1",
+    "ang1",
+    "ao1",
+    "e1",
+    "ei1",
+    "en1",
+    "eng1",
+    "er1",
+    "i1",
+    "i01",
+    "ia1",
+    "ian1",
+    "iang1",
+    "iao1",
+    "ie1",
+    "in1",
+    "ing1",
+    "iong1",
+    "ir1",
+    "iu1",
+    "o1",
+    "ong1",
+    "ou1",
+    "u1",
+    "ua1",
+    "uai1",
+    "uan1",
+    "uang1",
+    "ui1",
+    "un1",
+    "uo1",
+    "v1",
+    "van1",
+    "ve1",
+    "vn1",
+    "E2",
+    "En2",
+    "a2",
+    "ai2",
+    "an2",
+    "ang2",
+    "ao2",
+    "e2",
+    "ei2",
+    "en2",
+    "eng2",
+    "er2",
+    "i2",
+    "i02",
+    "ia2",
+    "ian2",
+    "iang2",
+    "iao2",
+    "ie2",
+    "in2",
+    "ing2",
+    "iong2",
+    "ir2",
+    "iu2",
+    "o2",
+    "ong2",
+    "ou2",
+    "u2",
+    "ua2",
+    "uai2",
+    "uan2",
+    "uang2",
+    "ui2",
+    "un2",
+    "uo2",
+    "v2",
+    "van2",
+    "ve2",
+    "vn2",
+    "E3",
+    "En3",
+    "a3",
+    "ai3",
+    "an3",
+    "ang3",
+    "ao3",
+    "e3",
+    "ei3",
+    "en3",
+    "eng3",
+    "er3",
+    "i3",
+    "i03",
+    "ia3",
+    "ian3",
+    "iang3",
+    "iao3",
+    "ie3",
+    "in3",
+    "ing3",
+    "iong3",
+    "ir3",
+    "iu3",
+    "o3",
+    "ong3",
+    "ou3",
+    "u3",
+    "ua3",
+    "uai3",
+    "uan3",
+    "uang3",
+    "ui3",
+    "un3",
+    "uo3",
+    "v3",
+    "van3",
+    "ve3",
+    "vn3",
+    "E4",
+    "En4",
+    "a4",
+    "ai4",
+    "an4",
+    "ang4",
+    "ao4",
+    "e4",
+    "ei4",
+    "en4",
+    "eng4",
+    "er4",
+    "i4",
+    "i04",
+    "ia4",
+    "ian4",
+    "iang4",
+    "iao4",
+    "ie4",
+    "in4",
+    "ing4",
+    "iong4",
+    "ir4",
+    "iu4",
+    "o4",
+    "ong4",
+    "ou4",
+    "u4",
+    "ua4",
+    "uai4",
+    "uan4",
+    "uang4",
+    "ui4",
+    "un4",
+    "uo4",
+    "v4",
+    "van4",
+    "ve4",
+    "vn4",
+    "E5",
+    "En5",
+    "a5",
+    "ai5",
+    "an5",
+    "ang5",
+    "ao5",
+    "e5",
+    "ei5",
+    "en5",
+    "eng5",
+    "er5",
+    "i5",
+    "i05",
+    "ia5",
+    "ian5",
+    "iang5",
+    "iao5",
+    "ie5",
+    "in5",
+    "ing5",
+    "iong5",
+    "ir5",
+    "iu5",
+    "o5",
+    "ong5",
+    "ou5",
+    "u5",
+    "ua5",
+    "uai5",
+    "uan5",
+    "uang5",
+    "ui5",
+    "un5",
+    "uo5",
+    "v5",
+    "van5",
+    "ve5",
+    "vn5",
+]
+
+v_without_tone = [
+    "E",
+    "En",
+    "a",
+    "ai",
+    "an",
+    "ang",
+    "ao",
+    "e",
+    "ei",
+    "en",
+    "eng",
+    "er",
+    "i",
+    "i0",
+    "ia",
+    "ian",
+    "iang",
+    "iao",
+    "ie",
+    "in",
+    "ing",
+    "iong",
+    "ir",
+    "iu",
+    "o",
+    "ong",
+    "ou",
+    "u",
+    "ua",
+    "uai",
+    "uan",
+    "uang",
+    "ui",
+    "un",
+    "uo",
+    "v",
+    "van",
+    "ve",
+    "vn",
+]
+
+# japanese
+ja_symbols = [
+    "I",
+    "N",
+    "U",
+    "a",
+    "b",
+    "by",
+    "ch",
+    "cl",
+    "d",
+    "dy",
+    "e",
+    "f",
+    "g",
+    "gy",
+    "h",
+    "hy",
+    "i",
+    "j",
+    "k",
+    "ky",
+    "m",
+    "my",
+    "n",
+    "ny",
+    "o",
+    "p",
+    "py",
+    "r",
+    "ry",
+    "s",
+    "sh",
+    "t",
+    "ts",
+    "u",
+    "v",
+    "w",
+    "y",
+    "z",
+    # "[", #上升调型
+    # "]", #下降调型
+    # "$", #结束符
+    # "^", #开始符
+]
+
+arpa = {
+    "AH0",
+    "S",
+    "AH1",
+    "EY2",
+    "AE2",
+    "EH0",
+    "OW2",
+    "UH0",
+    "NG",
+    "B",
+    "G",
+    "AY0",
+    "M",
+    "AA0",
+    "F",
+    "AO0",
+    "ER2",
+    "UH1",
+    "IY1",
+    "AH2",
+    "DH",
+    "IY0",
+    "EY1",
+    "IH0",
+    "K",
+    "N",
+    "W",
+    "IY2",
+    "T",
+    "AA1",
+    "ER1",
+    "EH2",
+    "OY0",
+    "UH2",
+    "UW1",
+    "Z",
+    "AW2",
+    "AW1",
+    "V",
+    "UW2",
+    "AA2",
+    "ER",
+    "AW0",
+    "UW0",
+    "R",
+    "OW1",
+    "EH1",
+    "ZH",
+    "AE0",
+    "IH2",
+    "IH",
+    "Y",
+    "JH",
+    "P",
+    "AY1",
+    "EY0",
+    "OY2",
+    "TH",
+    "HH",
+    "D",
+    "ER0",
+    "CH",
+    "AO1",
+    "AE1",
+    "AO2",
+    "OY1",
+    "AY2",
+    "IH1",
+    "OW0",
+    "L",
+    "SH",
+}
+
+symbols = [pad] + c + v + ja_symbols + pu_symbols + list(arpa)
+symbols = sorted(set(symbols))
+if __name__ == "__main__":
+    print(len(symbols))

SongBloom/g2p/cn_zh_g2p/tone_sandhi.py

@@ -0,0 +1,806 @@
+# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+from typing import List
+from typing import Tuple
+
+import jieba_fast as jieba
+from pypinyin import lazy_pinyin
+from pypinyin import Style
+
+
+class ToneSandhi:
+    def __init__(self):
+        self.must_neural_tone_words = {
+            "麻烦",
+            "麻利",
+            "鸳鸯",
+            "高粱",
+            "骨头",
+            "骆驼",
+            "马虎",
+            "首饰",
+            "馒头",
+            "馄饨",
+            "风筝",
+            "难为",
+            "队伍",
+            "阔气",
+            "闺女",
+            "门道",
+            "锄头",
+            "铺盖",
+            "铃铛",
+            "铁匠",
+            "钥匙",
+            "里脊",
+            "里头",
+            "部分",
+            "那么",
+            "道士",
+            "造化",
+            "迷糊",
+            "连累",
+            "这么",
+            "这个",
+            "运气",
+            "过去",
+            "软和",
+            "转悠",
+            "踏实",
+            "跳蚤",
+            "跟头",
+            "趔趄",
+            "财主",
+            "豆腐",
+            "讲究",
+            "记性",
+            "记号",
+            "认识",
+            "规矩",
+            "见识",
+            "裁缝",
+            "补丁",
+            "衣裳",
+            "衣服",
+            "衙门",
+            "街坊",
+            "行李",
+            "行当",
+            "蛤蟆",
+            "蘑菇",
+            "薄荷",
+            "葫芦",
+            "葡萄",
+            "萝卜",
+            "荸荠",
+            "苗条",
+            "苗头",
+            "苍蝇",
+            "芝麻",
+            "舒服",
+            "舒坦",
+            "舌头",
+            "自在",
+            "膏药",
+            "脾气",
+            "脑袋",
+            "脊梁",
+            "能耐",
+            "胳膊",
+            "胭脂",
+            "胡萝",
+            "胡琴",
+            "胡同",
+            "聪明",
+            "耽误",
+            "耽搁",
+            "耷拉",
+            "耳朵",
+            "老爷",
+            "老实",
+            "老婆",
+            "老头",
+            "老太",
+            "翻腾",
+            "罗嗦",
+            "罐头",
+            "编辑",
+            "结实",
+            "红火",
+            "累赘",
+            "糨糊",
+            "糊涂",
+            "精神",
+            "粮食",
+            "簸箕",
+            "篱笆",
+            "算计",
+            "算盘",
+            "答应",
+            "笤帚",
+            "笑语",
+            "笑话",
+            "窟窿",
+            "窝囊",
+            "窗户",
+            "稳当",
+            "稀罕",
+            "称呼",
+            "秧歌",
+            "秀气",
+            "秀才",
+            "福气",
+            "祖宗",
+            "砚台",
+            "码头",
+            "石榴",
+            "石头",
+            "石匠",
+            "知识",
+            "眼睛",
+            "眯缝",
+            "眨巴",
+            "眉毛",
+            "相声",
+            "盘算",
+            "白净",
+            "痢疾",
+            "痛快",
+            "疟疾",
+            "疙瘩",
+            "疏忽",
+            "畜生",
+            "生意",
+            "甘蔗",
+            "琵琶",
+            "琢磨",
+            "琉璃",
+            "玻璃",
+            "玫瑰",
+            "玄乎",
+            "狐狸",
+            "状元",
+            "特务",
+            "牲口",
+            "牙碜",
+            "牌楼",
+            "爽快",
+            "爱人",
+            "热闹",
+            "烧饼",
+            "烟筒",
+            "烂糊",
+            "点心",
+            "炊帚",
+            "灯笼",
+            "火候",
+            "漂亮",
+            "滑溜",
+            "溜达",
+            "温和",
+            "清楚",
+            "消息",
+            "浪头",
+            "活泼",
+            "比方",
+            "正经",
+            "欺负",
+            "模糊",
+            "槟榔",
+            "棺材",
+            "棒槌",
+            "棉花",
+            "核桃",
+            "栅栏",
+            "柴火",
+            "架势",
+            "枕头",
+            "���杷",
+            "机灵",
+            "本事",
+            "木头",
+            "木匠",
+            "朋友",
+            "月饼",
+            "月亮",
+            "暖和",
+            "明白",
+            "时候",
+            "新鲜",
+            "故事",
+            "收拾",
+            "收成",
+            "提防",
+            "挖苦",
+            "挑剔",
+            "指甲",
+            "指头",
+            "拾掇",
+            "拳头",
+            "拨弄",
+            "招牌",
+            "招呼",
+            "抬举",
+            "护士",
+            "折腾",
+            "扫帚",
+            "打量",
+            "打算",
+            "打点",
+            "打扮",
+            "打听",
+            "打发",
+            "扎实",
+            "扁担",
+            "戒指",
+            "懒得",
+            "意识",
+            "意思",
+            "情形",
+            "悟性",
+            "怪物",
+            "思量",
+            "怎么",
+            "念头",
+            "念叨",
+            "快活",
+            "忙活",
+            "志气",
+            "心思",
+            "得罪",
+            "张罗",
+            "弟兄",
+            "开通",
+            "应酬",
+            "庄稼",
+            "干事",
+            "帮手",
+            "帐篷",
+            "希罕",
+            "师父",
+            "师傅",
+            "巴结",
+            "巴掌",
+            "差事",
+            "工夫",
+            "岁数",
+            "屁股",
+            "尾巴",
+            "少爷",
+            "小气",
+            "小伙",
+            "将就",
+            "对头",
+            "对付",
+            "寡妇",
+            "家伙",
+            "客气",
+            "实在",
+            "官司",
+            "学问",
+            "学生",
+            "字号",
+            "嫁妆",
+            "媳妇",
+            "媒人",
+            "婆家",
+            "娘家",
+            "委屈",
+            "姑娘",
+            "姐夫",
+            "妯娌",
+            "妥当",
+            "妖精",
+            "奴才",
+            "女婿",
+            "头发",
+            "太阳",
+            "大爷",
+            "大方",
+            "大意",
+            "大夫",
+            "多少",
+            "多么",
+            "外甥",
+            "壮实",
+            "地道",
+            "地方",
+            "在乎",
+            "困难",
+            "嘴巴",
+            "嘱咐",
+            "嘟囔",
+            "嘀咕",
+            "喜欢",
+            "喇嘛",
+            "喇叭",
+            "商量",
+            "唾沫",
+            "哑巴",
+            "哈欠",
+            "哆嗦",
+            "咳嗽",
+            "和尚",
+            "告诉",
+            "告示",
+            "含糊",
+            "吓唬",
+            "后头",
+            "名字",
+            "名堂",
+            "合同",
+            "吆喝",
+            "叫唤",
+            "口袋",
+            "厚道",
+            "厉害",
+            "千斤",
+            "包袱",
+            "包涵",
+            "匀称",
+            "勤快",
+            "动静",
+            "动弹",
+            "功夫",
+            "力气",
+            "前头",
+            "刺猬",
+            "刺激",
+            "别扭",
+            "利落",
+            "利索",
+            "利害",
+            "分析",
+            "出息",
+            "凑合",
+            "凉快",
+            "冷战",
+            "冤枉",
+            "冒失",
+            "养活",
+            "关系",
+            "先生",
+            "兄弟",
+            "便宜",
+            "使唤",
+            "佩服",
+            "作坊",
+            "体面",
+            "位置",
+            "似的",
+            "伙计",
+            "休息",
+            "什么",
+            "人家",
+            "亲戚",
+            "亲家",
+            "交情",
+            "云彩",
+            "事情",
+            "买卖",
+            "主意",
+            "丫头",
+            "丧气",
+            "两口",
+            "东西",
+            "东家",
+            "世故",
+            "不由",
+            "不在",
+            "下水",
+            "下巴",
+            "上头",
+            "上司",
+            "丈夫",
+            "丈人",
+            "一辈",
+            "那个",
+            "菩萨",
+            "父亲",
+            "母亲",
+            "咕噜",
+            "邋遢",
+            "费用",
+            "冤家",
+            "甜头",
+            "介绍",
+            "荒唐",
+            "大人",
+            "泥鳅",
+            "幸福",
+            "熟悉",
+            "计划",
+            "扑腾",
+            "蜡烛",
+            "姥爷",
+            "照顾",
+            "喉咙",
+            "吉他",
+            "弄堂",
+            "蚂蚱",
+            "凤凰",
+            "拖沓",
+            "寒碜",
+            "糟蹋",
+            "倒腾",
+            "报复",
+            "逻辑",
+            "盘缠",
+            "喽啰",
+            "牢骚",
+            "咖喱",
+            "扫把",
+            "惦记",
+        }
+        self.must_not_neural_tone_words = {
+            "男子",
+            "女子",
+            "分子",
+            "原子",
+            "量子",
+            "莲子",
+            "石子",
+            "瓜子",
+            "电子",
+            "人人",
+            "虎虎",
+            "幺幺",
+            "干嘛",
+            "学子",
+            "哈哈",
+            "数数",
+            "袅袅",
+            "局地",
+            "以下",
+            "娃哈哈",
+            "花花草草",
+            "留得",
+            "耕地",
+            "想想",
+            "熙熙",
+            "攘攘",
+            "卵子",
+            "死死",
+            "冉冉",
+            "恳恳",
+            "佼佼",
+            "吵吵",
+            "打打",
+            "考考",
+            "整整",
+            "莘莘",
+            "落地",
+            "算子",
+            "家家户户",
+            "青青",
+        }
+        self.punc = "：，；。？！“”‘’':,;.?!"
+
+    # the meaning of jieba pos tag: https://blog.csdn.net/weixin_44174352/article/details/113731041
+    # e.g.
+    # word: "家里"
+    # pos: "s"
+    # finals: ['ia1', 'i3']
+    def _neural_sandhi(self, word: str, pos: str, finals: List[str]) -> List[str]:
+        # reduplication words for n. and v. e.g. 奶奶, 试试, 旺旺
+        for j, item in enumerate(word):
+            if (
+                j - 1 >= 0
+                and item == word[j - 1]
+                and pos[0] in {"n", "v", "a"}
+                and word not in self.must_not_neural_tone_words
+            ):
+                finals[j] = finals[j][:-1] + "5"
+        ge_idx = word.find("个")
+        if len(word) >= 1 and word[-1] in "吧呢哈啊呐噻嘛吖嗨呐哦哒额滴哩哟喽啰耶喔诶":
+            finals[-1] = finals[-1][:-1] + "5"
+        elif len(word) >= 1 and word[-1] in "的地得":
+            finals[-1] = finals[-1][:-1] + "5"
+        # e.g. 走了, 看着, 去过
+        elif len(word) == 1 and word in "了着过" and pos in {"ul", "uz", "ug"}:
+            finals[-1] = finals[-1][:-1] + "5"
+        elif (
+            len(word) > 1
+            and word[-1] in "们子"
+            and pos in {"r", "n"}
+            and word not in self.must_not_neural_tone_words
+        ):
+            finals[-1] = finals[-1][:-1] + "5"
+        # e.g. 桌上, 地下, 家里
+        elif len(word) > 1 and word[-1] in "上下里" and pos in {"s", "l", "f"}:
+            finals[-1] = finals[-1][:-1] + "5"
+        # e.g. 上来, 下去
+        elif len(word) > 1 and word[-1] in "来去" and word[-2] in "上下进出回过起开":
+            finals[-1] = finals[-1][:-1] + "5"
+        # 个做量词
+        elif (
+            ge_idx >= 1
+            and (word[ge_idx - 1].isnumeric() or word[ge_idx - 1] in "几有两半多各整每做是")
+        ) or word == "个":
+            finals[ge_idx] = finals[ge_idx][:-1] + "5"
+        else:
+            if (
+                word in self.must_neural_tone_words
+                or word[-2:] in self.must_neural_tone_words
+            ):
+                finals[-1] = finals[-1][:-1] + "5"
+
+        word_list = self._split_word(word)
+        finals_list = [finals[: len(word_list[0])], finals[len(word_list[0]) :]]
+        for i, word in enumerate(word_list):
+            # conventional neural in Chinese
+            if (
+                word in self.must_neural_tone_words
+                or word[-2:] in self.must_neural_tone_words
+            ):
+                finals_list[i][-1] = finals_list[i][-1][:-1] + "5"
+        finals = sum(finals_list, [])
+        return finals
+
+    def _bu_sandhi(self, word: str, finals: List[str]) -> List[str]:
+        # e.g. 看不懂
+        if len(word) == 3 and word[1] == "不":
+            finals[1] = finals[1][:-1] + "5"
+        else:
+            for i, char in enumerate(word):
+                # "不" before tone4 should be bu2, e.g. 不怕
+                if char == "不" and i + 1 < len(word) and finals[i + 1][-1] == "4":
+                    finals[i] = finals[i][:-1] + "2"
+        return finals
+
+    def _yi_sandhi(self, word: str, finals: List[str]) -> List[str]:
+        # "一" in number sequences, e.g. 一零零, 二一零
+        if word.find("一") != -1 and all(
+            [item.isnumeric() for item in word if item != "一"]
+        ):
+            return finals
+        # "一" between reduplication words shold be yi5, e.g. 看一看
+        elif len(word) == 3 and word[1] == "一" and word[0] == word[-1]:
+            finals[1] = finals[1][:-1] + "5"
+        # when "一" is ordinal word, it should be yi1
+        elif word.startswith("第一"):
+            finals[1] = finals[1][:-1] + "1"
+        else:
+            for i, char in enumerate(word):
+                if char == "一" and i + 1 < len(word):
+                    # "一" before tone4 should be yi2, e.g. 一段
+                    if finals[i + 1][-1] == "4":
+                        finals[i] = finals[i][:-1] + "2"
+                    # "一" before non-tone4 should be yi4, e.g. 一天
+                    else:
+                        # "一" 后面如果是标点，还读一声
+                        if word[i + 1] not in self.punc:
+                            finals[i] = finals[i][:-1] + "4"
+        return finals
+
+    def _split_word(self, word: str) -> List[str]:
+        word_list = jieba.cut_for_search(word)
+        word_list = sorted(word_list, key=lambda i: len(i), reverse=False)
+        first_subword = word_list[0]
+        first_begin_idx = word.find(first_subword)
+        if first_begin_idx == 0:
+            second_subword = word[len(first_subword) :]
+            new_word_list = [first_subword, second_subword]
+        else:
+            second_subword = word[: -len(first_subword)]
+            new_word_list = [second_subword, first_subword]
+        return new_word_list
+
+    def _three_sandhi(self, word: str, finals: List[str]) -> List[str]:
+        if len(word) == 2 and self._all_tone_three(finals):
+            finals[0] = finals[0][:-1] + "2"
+        elif len(word) == 3:
+            word_list = self._split_word(word)
+            if self._all_tone_three(finals):
+                #  disyllabic + monosyllabic, e.g. 蒙古/包
+                if len(word_list[0]) == 2:
+                    finals[0] = finals[0][:-1] + "2"
+                    finals[1] = finals[1][:-1] + "2"
+                #  monosyllabic + disyllabic, e.g. 纸/老虎
+                elif len(word_list[0]) == 1:
+                    finals[1] = finals[1][:-1] + "2"
+            else:
+                finals_list = [finals[: len(word_list[0])], finals[len(word_list[0]) :]]
+                if len(finals_list) == 2:
+                    for i, sub in enumerate(finals_list):
+                        # e.g. 所有/人
+                        if self._all_tone_three(sub) and len(sub) == 2:
+                            finals_list[i][0] = finals_list[i][0][:-1] + "2"
+                        # e.g. 好/喜欢
+                        elif (
+                            i == 1
+                            and not self._all_tone_three(sub)
+                            and finals_list[i][0][-1] == "3"
+                            and finals_list[0][-1][-1] == "3"
+                        ):
+                            finals_list[0][-1] = finals_list[0][-1][:-1] + "2"
+                        finals = sum(finals_list, [])
+        # split idiom into two words who's length is 2
+        elif len(word) == 4:
+            finals_list = [finals[:2], finals[2:]]
+            finals = []
+            for sub in finals_list:
+                if self._all_tone_three(sub):
+                    sub[0] = sub[0][:-1] + "2"
+                finals += sub
+
+        return finals
+
+    def _all_tone_three(self, finals: List[str]) -> bool:
+        return all(x[-1] == "3" for x in finals)
+
+    # merge "不" and the word behind it
+    # if don't merge, "不" sometimes appears alone according to jieba, which may occur sandhi error
+    def _merge_bu(self, seg: List[Tuple[str, str]]) -> List[Tuple[str, str]]:
+        new_seg = []
+        last_word = ""
+        for word, pos in seg:
+            if last_word == "不":
+                word = last_word + word
+            if word != "不":
+                new_seg.append((word, pos))
+            last_word = word[:]
+        if last_word == "不":
+            new_seg.append((last_word, "d"))
+            last_word = ""
+        return new_seg
+
+    # function 1: merge "一" and reduplication words in it's left and right, e.g. "听","一","听" ->"听一听"
+    # function 2: merge single  "一" and the word behind it
+    # if don't merge, "一" sometimes appears alone according to jieba, which may occur sandhi error
+    # e.g.
+    # input seg: [('听', 'v'), ('一', 'm'), ('听', 'v')]
+    # output seg: [['听一听', 'v']]
+    def _merge_yi(self, seg: List[Tuple[str, str]]) -> List[Tuple[str, str]]:
+        new_seg = []
+        # function 1
+        for i, (word, pos) in enumerate(seg):
+            if (
+                i - 1 >= 0
+                and word == "一"
+                and i + 1 < len(seg)
+                and seg[i - 1][0] == seg[i + 1][0]
+                and seg[i - 1][1] == "v"
+                and seg[i + 1][1] == "v"
+            ):
+                new_seg[i - 1][0] = new_seg[i - 1][0] + "一" + new_seg[i - 1][0]
+            else:
+                if (
+                    i - 2 >= 0
+                    and seg[i - 1][0] == "一"
+                    and seg[i - 2][0] == word
+                    and pos == "v"
+                ):
+                    continue
+                else:
+                    new_seg.append([word, pos])
+        seg = new_seg
+        new_seg = []
+        # function 2
+        for i, (word, pos) in enumerate(seg):
+            if new_seg and new_seg[-1][0] == "一":
+                new_seg[-1][0] = new_seg[-1][0] + word
+            else:
+                new_seg.append([word, pos])
+        return new_seg
+
+    # the first and the second words are all_tone_three
+    def _merge_continuous_three_tones(
+        self, seg: List[Tuple[str, str]]
+    ) -> List[Tuple[str, str]]:
+        new_seg = []
+        sub_finals_list = [
+            lazy_pinyin(word, neutral_tone_with_five=True, style=Style.FINALS_TONE3)
+            for (word, pos) in seg
+        ]
+        assert len(sub_finals_list) == len(seg)
+        merge_last = [False] * len(seg)
+        for i, (word, pos) in enumerate(seg):
+            if (
+                i - 1 >= 0
+                and self._all_tone_three(sub_finals_list[i - 1])
+                and self._all_tone_three(sub_finals_list[i])
+                and not merge_last[i - 1]
+            ):
+                # if the last word is reduplication, not merge, because reduplication need to be _neural_sandhi
+                if (
+                    not self._is_reduplication(seg[i - 1][0])
+                    and len(seg[i - 1][0]) + len(seg[i][0]) <= 3
+                ):
+                    new_seg[-1][0] = new_seg[-1][0] + seg[i][0]
+                    merge_last[i] = True
+                else:
+                    new_seg.append([word, pos])
+            else:
+                new_seg.append([word, pos])
+
+        return new_seg
+
+    def _is_reduplication(self, word: str) -> bool:
+        return len(word) == 2 and word[0] == word[1]
+
+    # the last char of first word and the first char of second word is tone_three
+    def _merge_continuous_three_tones_2(
+        self, seg: List[Tuple[str, str]]
+    ) -> List[Tuple[str, str]]:
+        new_seg = []
+        sub_finals_list = [
+            lazy_pinyin(word, neutral_tone_with_five=True, style=Style.FINALS_TONE3)
+            for (word, pos) in seg
+        ]
+        assert len(sub_finals_list) == len(seg)
+        merge_last = [False] * len(seg)
+        for i, (word, pos) in enumerate(seg):
+            if (
+                i - 1 >= 0
+                and sub_finals_list[i - 1][-1][-1] == "3"
+                and sub_finals_list[i][0][-1] == "3"
+                and not merge_last[i - 1]
+            ):
+                # if the last word is reduplication, not merge, because reduplication need to be _neural_sandhi
+                if (
+                    not self._is_reduplication(seg[i - 1][0])
+                    and len(seg[i - 1][0]) + len(seg[i][0]) <= 3
+                ):
+                    new_seg[-1][0] = new_seg[-1][0] + seg[i][0]
+                    merge_last[i] = True
+                else:
+                    new_seg.append([word, pos])
+            else:
+                new_seg.append([word, pos])
+        return new_seg
+
+    def _merge_er(self, seg: List[Tuple[str, str]]) -> List[Tuple[str, str]]:
+        new_seg = []
+        for i, (word, pos) in enumerate(seg):
+            if i - 1 >= 0 and word == "儿" and seg[i - 1][0] != "#":
+                new_seg[-1][0] = new_seg[-1][0] + seg[i][0]
+            else:
+                new_seg.append([word, pos])
+        return new_seg
+
+    def _merge_reduplication(self, seg: List[Tuple[str, str]]) -> List[Tuple[str, str]]:
+        new_seg = []
+        for i, (word, pos) in enumerate(seg):
+            if new_seg and word == new_seg[-1][0]:
+                new_seg[-1][0] = new_seg[-1][0] + seg[i][0]
+            else:
+                new_seg.append([word, pos])
+        return new_seg
+
+    def pre_merge_for_modify(self, seg: List[Tuple[str, str]]) -> List[Tuple[str, str]]:
+        seg = self._merge_bu(seg)
+        try:
+            seg = self._merge_yi(seg)
+        except:
+            print("_merge_yi failed")
+        seg = self._merge_reduplication(seg)
+        try:
+            seg = self._merge_continuous_three_tones(seg)
+        except:
+            print("_merge_continuous_three_tones failed")
+        try:
+            seg = self._merge_continuous_three_tones_2(seg)
+        except:
+            print("_merge_continuous_three_tones_2 failed")
+
+        seg = self._merge_er(seg)
+        return seg
+
+    def modified_tone(self, word: str, pos: str, finals: List[str]) -> List[str]:
+        finals = self._bu_sandhi(word, finals)
+        finals = self._yi_sandhi(word, finals)
+        finals = self._neural_sandhi(word, pos, finals)
+        finals = self._three_sandhi(word, finals)
+        return finals

SongBloom/g2p/cn_zh_g2p/zh_normalization/README.md

@@ -0,0 +1,16 @@
+## Supported NSW (Non-Standard-Word) Normalization
+
+|NSW type|raw|normalized|
+|:--|:-|:-|
+|serial number|电影中梁朝伟扮演的陈永仁的编号27149|电影中梁朝伟扮演的陈永仁的编号二七一四九|
+|cardinal|这块黄金重达324.75克<br>我们班的最高总分为583分|这块黄金重达三百二十四点七五克<br>我们班的最高总分为五百八十三分|
+|numeric range |12\~23<br>-1.5\~2|十二到二十三<br>负一点五到二|
+|date|她出生于86年8月18日，她弟弟出生于1995年3月1日|她出生于八六年八月十八日， 她弟弟出生于一九九五年三月一日|
+|time|等会请在12:05请通知我|等会请在十二点零五分请通知我
+|temperature|今天的最低气温达到-10°C|今天的最低气温达到零下十度
+|fraction|现场有7/12的观众投出了赞成票|现场有十二分之七的观众投出了赞成票|
+|percentage|明天有62％的概率降雨|明天有百分之六十二的概率降雨|
+|money|随便来几个价格12块5，34.5元，20.1万|随便来几个价格十二块五，三十四点五元，二十点一万|
+|telephone|这是固话0421-33441122<br>这是手机+86 18544139121|这是固话零四二一三三四四一一二二<br>这是手机八六一八五四四一三九一二一|
+## References
+[Pull requests #658 of DeepSpeech](https://github.com/PaddlePaddle/DeepSpeech/pull/658/files)

SongBloom/g2p/cn_zh_g2p/zh_normalization/__init__.py

@@ -0,0 +1,14 @@
+# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+from .text_normlization import *

SongBloom/g2p/cn_zh_g2p/zh_normalization/char_convert.py

@@ -0,0 +1,46 @@
+# coding=utf-8
+# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""Traditional and simplified Chinese conversion, a simplified character may correspond to multiple traditional characters.
+"""
+simplified_charcters = 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+
+traditional_characters = 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鐃鐄鐇鐏鐒鐓鐔鐗馗鐙鐝鐠鐡鐦鐨鐩鐫鐬鐱鐳鐶鐻鐽鐿鑀鑅鑌鑐鑕鑚鑛鑢鑤鑥鑪鑭鑯鑱鑴鑵鑷钁钃镻閆閈閌閎閒閔閗閟閡関閤閤閧閬閲閹閺閻閼閽閿闇闉闋闐闑闒闓闘闚闞闟闠闤闥阞阢阤阨阬阯阹阼阽陁陑陔陛陜陡陥陬騭陴険陼陾隂隃隈隒隗隞隠隣隤隩隮隰顴隳隷隹雂雈雉雊雎雑雒雗雘雚雝雟雩雰雱驛霂霅霈霊霑霒霓霙霝霢霣霤霨霩霪霫霮靁靆靉靑靚靣靦靪靮靰靳靷靸靺靼靿鞀鞃鞄鞌鞗鞙鞚鞝鞞鞡鞣鞨鞫鞬鞮鞶鞹鞾韃韅韉馱韍韎韔韖韘韝韞韡韣韭韮韱韹韺頀颳頄頇頊頍頎頏頒頖頞頠頫頬顱頯頲頴頼顇顋顑顒顓顔顕顚顜顢顣顬顳颭颮颱颶颸颺颻颽颾颿飀飂飈飌飜飡飣飤飥飩飫飮飱飶餀餂餄餎餇餈餑餔餕餖餗餚餛餜餟餠餤餧餩餪餫餬餮餱餲餳餺餻餼餽餿饁饅饇饉饊饍饎饐饘饟饢馘馥馝馡馣騮騾馵馹駃駄駅駆駉駋駑駓駔駗駘駙駜駡駢駪駬駰駴駸駹駽駾騂騄騅騆騉騋騍騏驎騑騒験騕騖騠騢騣騤騧驤騵騶騸騺驀驂驃驄驆驈驊驌驍驎驏驒驔驖驙驦驩驫骺鯁骫骭骯骱骴骶骷髏骾髁髂髄髆髈髐髑髕髖髙髝髞髟髡髣髧髪髫髭髯髲髳髹髺髽髾鬁鬃鬅鬈鬋鬎鬏鬐鬑鬒鬖鬗鬘鬙鬠鬣鬪鬫鬬鬮鬯鬰鬲鬵鬷魆魈魊魋魍魎魑魖鰾魛魟魣魦魨魬魴魵魸鮀鮁鮆鮌鮎鮑鮒鮓鮚鮞鮟鱇鮠鮦鮨鮪鮭鮶鮸鮿鯀鯄鯆鯇鯈鯔鯕鯖鯗鯙鯠鯤鯥鯫鯰鯷鯸鯿鰂鰆鶼鰉鰋鰐鰒鰕鰛鰜鰣鰤鰥鰦鰨鰩鰮鰳鰶鰷鱺鰼鰽鱀鱄鱅鱆鱈鱎鱐鱓鱔鱖鱘鱟鱠鱣鱨鱭鱮鱲鱵鱻鲅鳦鳧鳯鳲鳷鳻鴂鴃鴄鴆鴈鴎鴒鴔鴗鴛鴦鴝鵒鴟鴠鴢鴣鴥鴯鶓鴳鴴鴷鴽鵀鵁鵂鵓鵖鵙鵜鶘鵞鵟鵩鵪鵫鵵鵷鵻鵾鶂鶊鶏鶒鶖鶗鶡鶤鶦鶬鶱鶲鶵鶸鶹鶺鶿鷀鷁鷃鷄鷇鷈鷉鷊鷏鷓鷕鷖鷙鷞鷟鷥鷦鷯鷩鷫鷭鷳鷴鷽鷾鷿鸂鸇鸊鸏鸑鸒鸓鸕鸛鸜鸝鹸鹹鹺麀麂麃麄麇麋麌麐麑麒麚麛麝麤麩麪麫麮麯麰麺麾黁黈黌黢黒黓黕黙黝黟黥黦黧黮黰黱黲黶黹黻黼黽黿鼂鼃鼅鼈鼉鼏鼐鼒鼕鼖鼙鼚鼛鼡鼩鼱鼪鼫鼯鼷鼽齁齆齇齈齉齌齎齏齔齕齗齙齚齜齞齟齬齠齢齣齧齩齮齯齰齱齵齾龎龑龒龔龖龘龝龡龢龤'
+
+assert len(simplified_charcters) == len(simplified_charcters)
+
+s2t_dict = {}
+t2s_dict = {}
+for i, item in enumerate(simplified_charcters):
+    s2t_dict[item] = traditional_characters[i]
+    t2s_dict[traditional_characters[i]] = item
+
+
+def tranditional_to_simplified(text: str) -> str:
+    return "".join(
+        [t2s_dict[item] if item in t2s_dict else item for item in text])
+
+
+def simplified_to_traditional(text: str) -> str:
+    return "".join(
+        [s2t_dict[item] if item in s2t_dict else item for item in text])
+
+
+if __name__ == "__main__":
+    text = "一般是指存取一個應用程式啟動時始終顯示在網站或網頁瀏覽器中的一個或多個初始網頁等畫面存在的站點"
+    print(text)
+    text_simple = tranditional_to_simplified(text)
+    print(text_simple)
+    text_traditional = simplified_to_traditional(text_simple)
+    print(text_traditional)

SongBloom/g2p/cn_zh_g2p/zh_normalization/chronology.py

@@ -0,0 +1,134 @@
+# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import re
+
+from .num import DIGITS
+from .num import num2str
+from .num import verbalize_cardinal
+from .num import verbalize_digit
+
+
+def _time_num2str(num_string: str) -> str:
+    """A special case for verbalizing number in time."""
+    result = num2str(num_string.lstrip('0'))
+    if num_string.startswith('0'):
+        result = DIGITS['0'] + result
+    return result
+
+
+# 时刻表达式
+RE_TIME = re.compile(r'([0-1]?[0-9]|2[0-3])'
+                     r':([0-5][0-9])'
+                     r'(:([0-5][0-9]))?')
+
+# 时间范围，如8:30-12:30
+RE_TIME_RANGE = re.compile(r'([0-1]?[0-9]|2[0-3])'
+                           r':([0-5][0-9])'
+                           r'(:([0-5][0-9]))?'
+                           r'(~|-)'
+                           r'([0-1]?[0-9]|2[0-3])'
+                           r':([0-5][0-9])'
+                           r'(:([0-5][0-9]))?')
+
+
+def replace_time(match) -> str:
+    """
+    Args:
+        match (re.Match)
+    Returns:
+        str
+    """
+
+    is_range = len(match.groups()) > 5
+
+    hour = match.group(1)
+    minute = match.group(2)
+    second = match.group(4)
+
+    if is_range:
+        hour_2 = match.group(6)
+        minute_2 = match.group(7)
+        second_2 = match.group(9)
+
+    result = f"{num2str(hour)}点"
+    if minute.lstrip('0'):
+        if int(minute) == 30:
+            result += "半"
+        else:
+            result += f"{_time_num2str(minute)}分"
+    if second and second.lstrip('0'):
+        result += f"{_time_num2str(second)}秒"
+
+    if is_range:
+        result += "至"
+        result += f"{num2str(hour_2)}点"
+        if minute_2.lstrip('0'):
+            if int(minute) == 30:
+                result += "半"
+            else:
+                result += f"{_time_num2str(minute_2)}分"
+        if second_2 and second_2.lstrip('0'):
+            result += f"{_time_num2str(second_2)}秒"
+
+    return result
+
+
+RE_DATE = re.compile(r'(\d{4}|\d{2})年'
+                     r'((0?[1-9]|1[0-2])月)?'
+                     r'(((0?[1-9])|((1|2)[0-9])|30|31)([日号]))?')
+
+
+def replace_date(match) -> str:
+    """
+    Args:
+        match (re.Match)
+    Returns:
+        str
+    """
+    year = match.group(1)
+    month = match.group(3)
+    day = match.group(5)
+    result = ""
+    if year:
+        result += f"{verbalize_digit(year)}年"
+    if month:
+        result += f"{verbalize_cardinal(month)}月"
+    if day:
+        result += f"{verbalize_cardinal(day)}{match.group(9)}"
+    return result
+
+
+# 用 / 或者 - 分隔的 YY/MM/DD 或者 YY-MM-DD 日期
+RE_DATE2 = re.compile(
+    r'(\d{4})([- /.])(0[1-9]|1[012])\2(0[1-9]|[12][0-9]|3[01])')
+
+
+def replace_date2(match) -> str:
+    """
+    Args:
+        match (re.Match)
+    Returns:
+        str
+    """
+    year = match.group(1)
+    month = match.group(3)
+    day = match.group(4)
+    result = ""
+    if year:
+        result += f"{verbalize_digit(year)}年"
+    if month:
+        result += f"{verbalize_cardinal(month)}月"
+    if day:
+        result += f"{verbalize_cardinal(day)}日"
+    return result

SongBloom/g2p/cn_zh_g2p/zh_normalization/constants.py

@@ -0,0 +1,62 @@
+# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import re
+import string
+
+from pypinyin.constants import SUPPORT_UCS4
+
+# 全角半角转换
+# 英文字符全角 -> 半角映射表 (num: 52)
+F2H_ASCII_LETTERS = {
+    ord(char) + 65248: ord(char)
+    for char in string.ascii_letters
+}
+
+# 英文字符半角 -> 全角映射表
+H2F_ASCII_LETTERS = {value: key for key, value in F2H_ASCII_LETTERS.items()}
+
+# 数字字符全角 -> 半角映射表 (num: 10)
+F2H_DIGITS = {ord(char) + 65248: ord(char) for char in string.digits}
+# 数字字符半角 -> 全角映射表
+H2F_DIGITS = {value: key for key, value in F2H_DIGITS.items()}
+
+# 标点符号全角 -> 半角映射表 (num: 32)
+F2H_PUNCTUATIONS = {ord(char) + 65248: ord(char) for char in string.punctuation}
+# 标点符号半角 -> 全角映射表
+H2F_PUNCTUATIONS = {value: key for key, value in F2H_PUNCTUATIONS.items()}
+
+# 空格 (num: 1)
+F2H_SPACE = {'\u3000': ' '}
+H2F_SPACE = {' ': '\u3000'}
+
+# 非"有拼音的汉字"的字符串，可用于NSW提取
+if SUPPORT_UCS4:
+    RE_NSW = re.compile(r'(?:[^'
+                        r'\u3007'  # 〇
+                        r'\u3400-\u4dbf'  # CJK扩展A:[3400-4DBF]
+                        r'\u4e00-\u9fff'  # CJK基本:[4E00-9FFF]
+                        r'\uf900-\ufaff'  # CJK兼容:[F900-FAFF]
+                        r'\U00020000-\U0002A6DF'  # CJK扩展B:[20000-2A6DF]
+                        r'\U0002A703-\U0002B73F'  # CJK扩展C:[2A700-2B73F]
+                        r'\U0002B740-\U0002B81D'  # CJK扩展D:[2B740-2B81D]
+                        r'\U0002F80A-\U0002FA1F'  # CJK兼容扩展:[2F800-2FA1F]
+                        r'])+')
+else:
+    RE_NSW = re.compile(  # pragma: no cover
+        r'(?:[^'
+        r'\u3007'  # 〇
+        r'\u3400-\u4dbf'  # CJK扩展A:[3400-4DBF]
+        r'\u4e00-\u9fff'  # CJK基本:[4E00-9FFF]
+        r'\uf900-\ufaff'  # CJK兼容:[F900-FAFF]
+        r'])+')

SongBloom/g2p/cn_zh_g2p/zh_normalization/num.py

@@ -0,0 +1,282 @@
+# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""
+Rules to verbalize numbers into Chinese characters.
+https://zh.wikipedia.org/wiki/中文数字#現代中文
+"""
+import re
+from collections import OrderedDict
+from typing import List
+
+DIGITS = {str(i): tran for i, tran in enumerate('零一二三四五六七八九')}
+UNITS = OrderedDict({
+    1: '十',
+    2: '百',
+    3: '千',
+    4: '万',
+    8: '亿',
+})
+
+COM_QUANTIFIERS = '(封|艘|把|目|套|段|人|所|朵|匹|张|座|回|场|尾|条|个|首|阙|阵|网|炮|顶|丘|棵|只|支|袭|辆|挑|担|颗|壳|窠|曲|墙|群|腔|砣|座|客|贯|扎|捆|刀|令|打|手|罗|坡|山|岭|江|溪|钟|队|单|双|对|出|口|头|脚|板|跳|枝|件|贴|针|线|管|名|位|身|堂|课|本|页|家|户|层|丝|毫|厘|分|钱|两|斤|担|铢|石|钧|锱|忽|(千|毫|微)克|毫|厘|(公)分|分|寸|尺|丈|里|寻|常|铺|程|(千|分|厘|毫|微)米|米|撮|勺|合|升|斗|石|盘|碗|碟|叠|桶|笼|盆|盒|杯|钟|斛|锅|簋|篮|盘|桶|罐|瓶|壶|卮|盏|箩|箱|煲|啖|袋|钵|年|月|日|季|刻|时|周|天|秒|分|小时|旬|纪|岁|世|更|夜|春|夏|秋|冬|代|伏|辈|丸|泡|粒|颗|幢|堆|条|根|支|道|面|片|张|颗|块|元|(亿|千万|百万|万|千|百)|(亿|千万|百万|万|千|百|美|)元|(亿|千万|百万|万|千|百|十|)吨|(亿|千万|百万|万|千|百|)块|角|毛|分)'
+
+# 分数表达式
+RE_FRAC = re.compile(r'(-?)(\d+)/(\d+)')
+
+
+def replace_frac(match) -> str:
+    """
+    Args:
+        match (re.Match)
+    Returns:
+        str
+    """
+    sign = match.group(1)
+    nominator = match.group(2)
+    denominator = match.group(3)
+    sign: str = "负" if sign else ""
+    nominator: str = num2str(nominator)
+    denominator: str = num2str(denominator)
+    result = f"{sign}{denominator}分之{nominator}"
+    return result
+
+
+# 百分数表达式
+RE_PERCENTAGE = re.compile(r'(-?)(\d+(\.\d+)?)%')
+
+
+def replace_percentage(match) -> str:
+    """
+    Args:
+        match (re.Match)
+    Returns:
+        str
+    """
+    sign = match.group(1)
+    percent = match.group(2)
+    sign: str = "负" if sign else ""
+    percent: str = num2str(percent)
+    result = f"{sign}百分之{percent}"
+    return result
+
+
+# 整数表达式
+# 带负号的整数 -10
+RE_INTEGER = re.compile(r'(-)' r'(\d+)')
+
+
+def replace_negative_num(match) -> str:
+    """
+    Args:
+        match (re.Match)
+    Returns:
+        str
+    """
+    sign = match.group(1)
+    number = match.group(2)
+    sign: str = "负" if sign else ""
+    number: str = num2str(number)
+    result = f"{sign}{number}"
+    return result
+
+
+# 编号-无符号整形
+# 00078
+RE_DEFAULT_NUM = re.compile(r'\d{3}\d*')
+
+
+def replace_default_num(match):
+    """
+    Args:
+        match (re.Match)
+    Returns:
+        str
+    """
+    number = match.group(0)
+    return verbalize_digit(number, alt_one=True)
+
+
+# 加减乘除
+RE_ASMD = re.compile(
+    r'((-?)((\d+)(\.\d+)?)|(\.(\d+)))([\+\-\×÷=])((-?)((\d+)(\.\d+)?)|(\.(\d+)))')
+asmd_map = {
+    '+': '加',
+    '-': '减',
+    '×': '乘',
+    '÷': '除',
+    '=': '等于'
+}
+
+
+def replace_asmd(match) -> str:
+    """
+    Args:
+        match (re.Match)
+    Returns:
+        str
+    """
+    result = match.group(1) + asmd_map[match.group(8)] + match.group(9)
+    return result
+
+
+# 数字表达式
+# 纯小数
+RE_DECIMAL_NUM = re.compile(r'(-?)((\d+)(\.\d+))' r'|(\.(\d+))')
+# 正整数 + 量词
+RE_POSITIVE_QUANTIFIERS = re.compile(r"(\d+)([多余几\+])?" + COM_QUANTIFIERS)
+RE_NUMBER = re.compile(r'(-?)((\d+)(\.\d+)?)' r'|(\.(\d+))')
+
+
+def replace_positive_quantifier(match) -> str:
+    """
+    Args:
+        match (re.Match)
+    Returns:
+        str
+    """
+    number = match.group(1)
+    match_2 = match.group(2)
+    if match_2 == "+":
+        match_2 = "多"
+    match_2: str = match_2 if match_2 else ""
+    quantifiers: str = match.group(3)
+    number: str = num2str(number)
+    result = f"{number}{match_2}{quantifiers}"
+    return result
+
+
+def replace_number(match) -> str:
+    """
+    Args:
+        match (re.Match)
+    Returns:
+        str
+    """
+    sign = match.group(1)
+    number = match.group(2)
+    pure_decimal = match.group(5)
+    if pure_decimal:
+        result = num2str(pure_decimal)
+    else:
+        sign: str = "负" if sign else ""
+        number: str = num2str(number)
+        result = f"{sign}{number}"
+    return result
+
+
+# 范围表达式
+# match.group(1) and match.group(8) are copy from RE_NUMBER
+
+RE_RANGE = re.compile(
+    r"""
+    (?<![\d\+\-\×÷=])      # 使用反向前瞻以确保数字范围之前没有其他数字和操作符
+    ((-?)((\d+)(\.\d+)?))  # 匹配范围起始的负数或正数（整数或小数）
+    [-~]                   # 匹配范围分隔符
+    ((-?)((\d+)(\.\d+)?))  # 匹配范围结束的负数或正数（整数或小数）
+    (?![\d\+\-\×÷=])       # 使用正向前瞻以确保数字范围之后没有其他数字和操作符
+    """, re.VERBOSE)
+
+
+def replace_range(match) -> str:
+    """
+    Args:
+        match (re.Match)
+    Returns:
+        str
+    """
+    first, second = match.group(1), match.group(6)
+    first = RE_NUMBER.sub(replace_number, first)
+    second = RE_NUMBER.sub(replace_number, second)
+    result = f"{first}到{second}"
+    return result
+
+
+# ~至表达式
+RE_TO_RANGE = re.compile(
+    r'((-?)((\d+)(\.\d+)?)|(\.(\d+)))(%|°C|℃|度|摄氏度|cm2|cm²|cm3|cm³|cm|db|ds|kg|km|m2|m²|m³|m3|ml|m|mm|s)[~]((-?)((\d+)(\.\d+)?)|(\.(\d+)))(%|°C|℃|度|摄氏度|cm2|cm²|cm3|cm³|cm|db|ds|kg|km|m2|m²|m³|m3|ml|m|mm|s)')
+
+def replace_to_range(match) -> str:
+    """
+    Args:
+        match (re.Match)
+    Returns:
+        str
+    """
+    result = match.group(0).replace('~', '至')
+    return result
+
+
+def _get_value(value_string: str, use_zero: bool=True) -> List[str]:
+    stripped = value_string.lstrip('0')
+    if len(stripped) == 0:
+        return []
+    elif len(stripped) == 1:
+        if use_zero and len(stripped) < len(value_string):
+            return [DIGITS['0'], DIGITS[stripped]]
+        else:
+            return [DIGITS[stripped]]
+    else:
+        largest_unit = next(
+            power for power in reversed(UNITS.keys()) if power < len(stripped))
+        first_part = value_string[:-largest_unit]
+        second_part = value_string[-largest_unit:]
+        return _get_value(first_part) + [UNITS[largest_unit]] + _get_value(
+            second_part)
+
+
+def verbalize_cardinal(value_string: str) -> str:
+    if not value_string:
+        return ''
+
+    # 000 -> '零' , 0 -> '零'
+    value_string = value_string.lstrip('0')
+    if len(value_string) == 0:
+        return DIGITS['0']
+
+    result_symbols = _get_value(value_string)
+    # verbalized number starting with '一十*' is abbreviated as `十*`
+    if len(result_symbols) >= 2 and result_symbols[0] == DIGITS[
+            '1'] and result_symbols[1] == UNITS[1]:
+        result_symbols = result_symbols[1:]
+    return ''.join(result_symbols)
+
+
+def verbalize_digit(value_string: str, alt_one=False) -> str:
+    result_symbols = [DIGITS[digit] for digit in value_string]
+    result = ''.join(result_symbols)
+    if alt_one:
+        result = result.replace("一", "幺")
+    return result
+
+
+def num2str(value_string: str) -> str:
+    integer_decimal = value_string.split('.')
+    if len(integer_decimal) == 1:
+        integer = integer_decimal[0]
+        decimal = ''
+    elif len(integer_decimal) == 2:
+        integer, decimal = integer_decimal
+    else:
+        raise ValueError(
+            f"The value string: '${value_string}' has more than one point in it."
+        )
+
+    result = verbalize_cardinal(integer)
+
+    decimal = decimal.rstrip('0')
+    if decimal:
+        # '.22' is verbalized as '零点二二'
+        # '3.20' is verbalized as '三点二
+        result = result if result else "零"
+        result += '点' + verbalize_digit(decimal)
+    return result

SongBloom/g2p/cn_zh_g2p/zh_normalization/phonecode.py

@@ -0,0 +1,63 @@
+# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import re
+
+from .num import verbalize_digit
+
+# 规范化固话/手机号码
+# 手机
+# http://www.jihaoba.com/news/show/13680
+# 移动：139、138、137、136、135、134、159、158、157、150、151、152、188、187、182、183、184、178、198
+# 联通：130、131、132、156、155、186、185、176
+# 电信：133、153、189、180、181、177
+RE_MOBILE_PHONE = re.compile(
+    r"(?<!\d)((\+?86 ?)?1([38]\d|5[0-35-9]|7[678]|9[89])\d{8})(?!\d)")
+RE_TELEPHONE = re.compile(
+    r"(?<!\d)((0(10|2[1-3]|[3-9]\d{2})-?)?[1-9]\d{6,7})(?!\d)")
+
+# 全国统一的号码400开头
+RE_NATIONAL_UNIFORM_NUMBER = re.compile(r"(400)(-)?\d{3}(-)?\d{4}")
+
+
+def phone2str(phone_string: str, mobile=True) -> str:
+    if mobile:
+        sp_parts = phone_string.strip('+').split()
+        result = '，'.join(
+            [verbalize_digit(part, alt_one=True) for part in sp_parts])
+        return result
+    else:
+        sil_parts = phone_string.split('-')
+        result = '，'.join(
+            [verbalize_digit(part, alt_one=True) for part in sil_parts])
+        return result
+
+
+def replace_phone(match) -> str:
+    """
+    Args:
+        match (re.Match)
+    Returns:
+        str
+    """
+    return phone2str(match.group(0), mobile=False)
+
+
+def replace_mobile(match) -> str:
+    """
+    Args:
+        match (re.Match)
+    Returns:
+        str
+    """
+    return phone2str(match.group(0))

SongBloom/g2p/cn_zh_g2p/zh_normalization/quantifier.py

@@ -0,0 +1,63 @@
+# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import re
+
+from .num import num2str
+
+# 温度表达式，温度会影响负号的读法
+# -3°C 零下三度
+RE_TEMPERATURE = re.compile(r'(-?)(\d+(\.\d+)?)(°C|℃|度|摄氏度)')
+measure_dict = {
+    "cm2": "平方厘米",
+    "cm²": "平方厘米",
+    "cm3": "立方厘米",
+    "cm³": "立方厘米",
+    "cm": "厘米",
+    "db": "分贝",
+    "ds": "毫秒",
+    "kg": "千克",
+    "km": "千米",
+    "m2": "平方米",
+    "m²": "平方米",
+    "m³": "立方米",
+    "m3": "立方米",
+    "ml": "毫升",
+    "m": "米",
+    "mm": "毫米",
+    "s": "秒"
+}
+
+
+def replace_temperature(match) -> str:
+    """
+    Args:
+        match (re.Match)
+    Returns:
+        str
+    """
+    sign = match.group(1)
+    temperature = match.group(2)
+    unit = match.group(3)
+    sign: str = "零下" if sign else ""
+    temperature: str = num2str(temperature)
+    unit: str = "摄氏度" if unit == "摄氏度" else "度"
+    result = f"{sign}{temperature}{unit}"
+    return result
+
+
+def replace_measure(sentence) -> str:
+    for q_notation in measure_dict:
+        if q_notation in sentence:
+            sentence = sentence.replace(q_notation, measure_dict[q_notation])
+    return sentence

SongBloom/g2p/cn_zh_g2p/zh_normalization/text_normlization.py

@@ -0,0 +1,165 @@
+# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import re
+from typing import List
+
+from .char_convert import tranditional_to_simplified
+from .chronology import RE_DATE
+from .chronology import RE_DATE2
+from .chronology import RE_TIME
+from .chronology import RE_TIME_RANGE
+from .chronology import replace_date
+from .chronology import replace_date2
+from .chronology import replace_time
+from .constants import F2H_ASCII_LETTERS
+from .constants import F2H_DIGITS
+from .constants import F2H_SPACE
+from .num import RE_DECIMAL_NUM
+from .num import RE_DEFAULT_NUM
+from .num import RE_FRAC
+from .num import RE_INTEGER
+from .num import RE_NUMBER
+from .num import RE_PERCENTAGE
+from .num import RE_POSITIVE_QUANTIFIERS
+from .num import RE_RANGE
+from .num import RE_TO_RANGE
+from .num import RE_ASMD
+from .num import replace_default_num
+from .num import replace_frac
+from .num import replace_negative_num
+from .num import replace_number
+from .num import replace_percentage
+from .num import replace_positive_quantifier
+from .num import replace_range
+from .num import replace_to_range
+from .num import replace_asmd
+from .phonecode import RE_MOBILE_PHONE
+from .phonecode import RE_NATIONAL_UNIFORM_NUMBER
+from .phonecode import RE_TELEPHONE
+from .phonecode import replace_mobile
+from .phonecode import replace_phone
+from .quantifier import RE_TEMPERATURE
+from .quantifier import replace_measure
+from .quantifier import replace_temperature
+
+
+class TextNormalizer():
+    def __init__(self):
+        self.SENTENCE_SPLITOR = re.compile(r'([：、，；。？！,;?!][”’]?)')
+
+    def _split(self, text: str, lang="zh") -> List[str]:
+        """Split long text into sentences with sentence-splitting punctuations.
+        Args:
+            text (str): The input text.
+        Returns:
+            List[str]: Sentences.
+        """
+        # Only for pure Chinese here
+        if lang == "zh":
+            text = text.replace(" ", "")
+            # 过滤掉特殊字符
+            text = re.sub(r'[——《》【】<>{}()（）#&@“”^_|\\]', '', text)
+        text = self.SENTENCE_SPLITOR.sub(r'\1\n', text)
+        text = text.strip()
+        sentences = [sentence.strip() for sentence in re.split(r'\n+', text)]
+        return sentences
+
+    def _post_replace(self, sentence: str) -> str:
+        sentence = sentence.replace('/', '每')
+        # sentence = sentence.replace('~', '至')
+        # sentence = sentence.replace('～', '至')
+        sentence = sentence.replace('①', '一')
+        sentence = sentence.replace('②', '二')
+        sentence = sentence.replace('③', '三')
+        sentence = sentence.replace('④', '四')
+        sentence = sentence.replace('⑤', '五')
+        sentence = sentence.replace('⑥', '六')
+        sentence = sentence.replace('⑦', '七')
+        sentence = sentence.replace('⑧', '八')
+        sentence = sentence.replace('⑨', '九')
+        sentence = sentence.replace('⑩', '十')
+        sentence = sentence.replace('α', '阿尔法')
+        sentence = sentence.replace('β', '贝塔')
+        sentence = sentence.replace('γ', '伽玛').replace('Γ', '伽玛')
+        sentence = sentence.replace('δ', '德尔塔').replace('Δ', '德尔塔')
+        sentence = sentence.replace('ε', '艾普西龙')
+        sentence = sentence.replace('ζ', '捷塔')
+        sentence = sentence.replace('η', '依塔')
+        sentence = sentence.replace('θ', '西塔').replace('Θ', '西塔')
+        sentence = sentence.replace('ι', '艾欧塔')
+        sentence = sentence.replace('κ', '喀帕')
+        sentence = sentence.replace('λ', '拉姆达').replace('Λ', '拉姆达')
+        sentence = sentence.replace('μ', '缪')
+        sentence = sentence.replace('ν', '拗')
+        sentence = sentence.replace('ξ', '克西').replace('Ξ', '克西')
+        sentence = sentence.replace('ο', '欧米克伦')
+        sentence = sentence.replace('π', '派').replace('Π', '派')
+        sentence = sentence.replace('ρ', '肉')
+        sentence = sentence.replace('ς', '西格玛').replace('Σ', '西格玛').replace(
+            'σ', '西格玛')
+        sentence = sentence.replace('τ', '套')
+        sentence = sentence.replace('υ', '宇普西龙')
+        sentence = sentence.replace('φ', '服艾').replace('Φ', '服艾')
+        sentence = sentence.replace('χ', '器')
+        sentence = sentence.replace('ψ', '普赛').replace('Ψ', '普赛')
+        sentence = sentence.replace('ω', '欧米伽').replace('Ω', '欧米伽')
+        # re filter special characters, have one more character "-" than line 68
+        sentence = re.sub(r'[-——《》【】<=>{}()（）#&@“”^_|\\]', '', sentence)
+        return sentence
+
+    def normalize_sentence(self, sentence: str) -> str:
+        # basic character conversions
+        sentence = tranditional_to_simplified(sentence)
+        sentence = sentence.translate(F2H_ASCII_LETTERS).translate(
+            F2H_DIGITS).translate(F2H_SPACE)
+
+        # number related NSW verbalization
+        sentence = RE_DATE.sub(replace_date, sentence)
+        sentence = RE_DATE2.sub(replace_date2, sentence)
+
+        # range first
+        sentence = RE_TIME_RANGE.sub(replace_time, sentence)
+        sentence = RE_TIME.sub(replace_time, sentence)
+
+        # 处理~波浪号作为至的替换
+        sentence = RE_TO_RANGE.sub(replace_to_range, sentence)
+        sentence = RE_TEMPERATURE.sub(replace_temperature, sentence)
+        sentence = replace_measure(sentence)
+        sentence = RE_FRAC.sub(replace_frac, sentence)
+        sentence = RE_PERCENTAGE.sub(replace_percentage, sentence)
+        sentence = RE_MOBILE_PHONE.sub(replace_mobile, sentence)
+
+        sentence = RE_TELEPHONE.sub(replace_phone, sentence)
+        sentence = RE_NATIONAL_UNIFORM_NUMBER.sub(replace_phone, sentence)
+
+        sentence = RE_RANGE.sub(replace_range, sentence)
+
+        # 处理加减乘除
+        while RE_ASMD.search(sentence):
+            sentence = RE_ASMD.sub(replace_asmd, sentence)
+
+        sentence = RE_INTEGER.sub(replace_negative_num, sentence)
+        sentence = RE_DECIMAL_NUM.sub(replace_number, sentence)
+        sentence = RE_POSITIVE_QUANTIFIERS.sub(replace_positive_quantifier,
+                                               sentence)
+        sentence = RE_DEFAULT_NUM.sub(replace_default_num, sentence)
+        sentence = RE_NUMBER.sub(replace_number, sentence)
+        sentence = self._post_replace(sentence)
+
+        return sentence
+
+    def normalize(self, text: str) -> List[str]:
+        sentences = self._split(text)
+        sentences = [self.normalize_sentence(sent) for sent in sentences]
+        return sentences

SongBloom/g2p/lyric_common.py

@@ -0,0 +1,81 @@
+import os, sys
+
+sys.path.insert(0, os.path.dirname(__file__))
+from pinyin.pinyin import G2P_PinYin
+from cn_zh_g2p import G2P_Mix, symbols
+
+key2processor = {
+    'pinyin': G2P_PinYin(), 
+    'phoneme': G2P_Mix(),
+}
+
+valid_struct_type = ['[chorus]', '[verse]', '[bridge]']
+start_struct_type = ['[intro]', '[start]']
+end_struct_type = ['[outro]', '[end]']
+conn_struct_type = ['[inst]', '[solo]', '[break]']
+
+LABELS = {
+    '[intro]': 0,
+    '[outro]': 1,
+    '[bridge]': 2,
+    '[inst]': 3,
+    '[verse]': 4,
+    '[chorus]': 5,
+    '[silence]': 6,
+}
+
+NUMBERS = {
+    '0': ['零', 'zero'],
+    '1': ['一', 'one'],
+    '2': ['二', 'two'],
+    '3': ['三', 'three'],
+    '4': ['四', 'four'],
+    '5': ['五', 'five'],
+    '6': ['六', 'six'],
+    '7': ['七', 'seven'],
+    '8': ['八', 'eight'],
+    '9': ['九', 'nine']
+}
+
+def detect_structure(structure):
+    valid_start = ['start', 'intro']
+    valid_end = ['outro', 'end']
+    valid_instru = ['solo', 'inst', 'break']
+    valid_bridge = ['bridge']
+
+    if structure in ['verse', 'chorus', 'silence']:
+        return structure
+    
+    if structure in valid_start:
+        return 'intro'
+    if structure in valid_end:
+        return 'outro'
+    if structure in valid_instru:
+        return 'inst'
+    if structure in valid_bridge:
+        return 'bridge'
+
+def merge_structure(start_time, end_time, structure, lyric):
+    cnt = 1
+    while cnt < len(start_time):
+        if structure[cnt] == structure[cnt-1]:
+            end_time[cnt-1] = end_time[cnt]
+            if structure[cnt] not in ["verse", "chorus", "bridge"]:
+                del start_time[cnt]
+                del end_time[cnt]
+                del structure[cnt]
+                del lyric[cnt]
+            else:
+                cnt += 1
+        else:
+            cnt += 1
+    
+    return start_time, end_time, structure, lyric
+
+
+def is_struct_legal(struct, text):
+    if struct in valid_struct_type and text != "":
+        return True
+    elif struct not in valid_struct_type and text == "":
+        return True
+    return False

SongBloom/g2p/pinyin/__init__.py

@@ -0,0 +1,430 @@
+from .symbols import symbols
+
+
+
+
+pinyin_dict = {
+    "a": ("^", "a"),
+    "ai": ("^", "ai"),
+    "an": ("^", "an"),
+    "ang": ("^", "ang"),
+    "ao": ("^", "ao"),
+    "ba": ("b", "a"),
+    "bai": ("b", "ai"),
+    "ban": ("b", "an"),
+    "bang": ("b", "ang"),
+    "bao": ("b", "ao"),
+    "be": ("b", "e"),
+    "bei": ("b", "ei"),
+    "ben": ("b", "en"),
+    "beng": ("b", "eng"),
+    "bi": ("b", "i"),
+    "bian": ("b", "ian"),
+    "biao": ("b", "iao"),
+    "bie": ("b", "ie"),
+    "bin": ("b", "in"),
+    "bing": ("b", "ing"),
+    "bo": ("b", "o"),
+    "bu": ("b", "u"),
+    "ca": ("c", "a"),
+    "cai": ("c", "ai"),
+    "can": ("c", "an"),
+    "cang": ("c", "ang"),
+    "cao": ("c", "ao"),
+    "ce": ("c", "e"),
+    "cen": ("c", "en"),
+    "ceng": ("c", "eng"),
+    "cha": ("ch", "a"),
+    "chai": ("ch", "ai"),
+    "chan": ("ch", "an"),
+    "chang": ("ch", "ang"),
+    "chao": ("ch", "ao"),
+    "che": ("ch", "e"),
+    "chen": ("ch", "en"),
+    "cheng": ("ch", "eng"),
+    "chi": ("ch", "iii"),
+    "chong": ("ch", "ong"),
+    "chou": ("ch", "ou"),
+    "chu": ("ch", "u"),
+    "chua": ("ch", "ua"),
+    "chuai": ("ch", "uai"),
+    "chuan": ("ch", "uan"),
+    "chuang": ("ch", "uang"),
+    "chui": ("ch", "uei"),
+    "chun": ("ch", "uen"),
+    "chuo": ("ch", "uo"),
+    "ci": ("c", "ii"),
+    "cong": ("c", "ong"),
+    "cou": ("c", "ou"),
+    "cu": ("c", "u"),
+    "cuan": ("c", "uan"),
+    "cui": ("c", "uei"),
+    "cun": ("c", "uen"),
+    "cuo": ("c", "uo"),
+    "da": ("d", "a"),
+    "dai": ("d", "ai"),
+    "dan": ("d", "an"),
+    "dang": ("d", "ang"),
+    "dao": ("d", "ao"),
+    "de": ("d", "e"),
+    "dei": ("d", "ei"),
+    "den": ("d", "en"),
+    "deng": ("d", "eng"),
+    "di": ("d", "i"),
+    "dia": ("d", "ia"),
+    "dian": ("d", "ian"),
+    "diao": ("d", "iao"),
+    "die": ("d", "ie"),
+    "ding": ("d", "ing"),
+    "diu": ("d", "iou"),
+    "dong": ("d", "ong"),
+    "dou": ("d", "ou"),
+    "du": ("d", "u"),
+    "duan": ("d", "uan"),
+    "dui": ("d", "uei"),
+    "dun": ("d", "uen"),
+    "duo": ("d", "uo"),
+    "e": ("^", "e"),
+    "ei": ("^", "ei"),
+    "en": ("^", "en"),
+    "ng": ("^", "en"),
+    "eng": ("^", "eng"),
+    "er": ("^", "er"),
+    "fa": ("f", "a"),
+    "fan": ("f", "an"),
+    "fang": ("f", "ang"),
+    "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", "uei"),
+    "gun": ("g", "uen"),
+    "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", "uei"),
+    "hun": ("h", "uen"),
+    "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", "iou"),
+    "ju": ("j", "v"),
+    "juan": ("j", "van"),
+    "jue": ("j", "ve"),
+    "jun": ("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", "uei"),
+    "kun": ("k", "uen"),
+    "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", "iou"),
+    "lo": ("l", "o"),
+    "long": ("l", "ong"),
+    "lou": ("l", "ou"),
+    "lu": ("l", "u"),
+    "lv": ("l", "v"),
+    "luan": ("l", "uan"),
+    "lve": ("l", "ve"),
+    "lue": ("l", "ve"),
+    "lun": ("l", "uen"),
+    "luo": ("l", "uo"),
+    "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", "iou"),
+    "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"),
+    "nia": ("n", "ia"),
+    "nian": ("n", "ian"),
+    "niang": ("n", "iang"),
+    "niao": ("n", "iao"),
+    "nie": ("n", "ie"),
+    "nin": ("n", "in"),
+    "ning": ("n", "ing"),
+    "niu": ("n", "iou"),
+    "nong": ("n", "ong"),
+    "nou": ("n", "ou"),
+    "nu": ("n", "u"),
+    "nv": ("n", "v"),
+    "nuan": ("n", "uan"),
+    "nve": ("n", "ve"),
+    "nue": ("n", "ve"),
+    "nuo": ("n", "uo"),
+    "o": ("^", "o"),
+    "ou": ("^", "ou"),
+    "pa": ("p", "a"),
+    "pai": ("p", "ai"),
+    "pan": ("p", "an"),
+    "pang": ("p", "ang"),
+    "pao": ("p", "ao"),
+    "pe": ("p", "e"),
+    "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", "iou"),
+    "qu": ("q", "v"),
+    "quan": ("q", "van"),
+    "que": ("q", "ve"),
+    "qun": ("q", "vn"),
+    "ran": ("r", "an"),
+    "rang": ("r", "ang"),
+    "rao": ("r", "ao"),
+    "re": ("r", "e"),
+    "ren": ("r", "en"),
+    "reng": ("r", "eng"),
+    "ri": ("r", "iii"),
+    "rong": ("r", "ong"),
+    "rou": ("r", "ou"),
+    "ru": ("r", "u"),
+    "rua": ("r", "ua"),
+    "ruan": ("r", "uan"),
+    "rui": ("r", "uei"),
+    "run": ("r", "uen"),
+    "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", "iii"),
+    "shou": ("sh", "ou"),
+    "shu": ("sh", "u"),
+    "shua": ("sh", "ua"),
+    "shuai": ("sh", "uai"),
+    "shuan": ("sh", "uan"),
+    "shuang": ("sh", "uang"),
+    "shui": ("sh", "uei"),
+    "shun": ("sh", "uen"),
+    "shuo": ("sh", "uo"),
+    "si": ("s", "ii"),
+    "song": ("s", "ong"),
+    "sou": ("s", "ou"),
+    "su": ("s", "u"),
+    "suan": ("s", "uan"),
+    "sui": ("s", "uei"),
+    "sun": ("s", "uen"),
+    "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", "uei"),
+    "tun": ("t", "uen"),
+    "tuo": ("t", "uo"),
+    "wa": ("^", "ua"),
+    "wai": ("^", "uai"),
+    "wan": ("^", "uan"),
+    "wang": ("^", "uang"),
+    "wei": ("^", "uei"),
+    "wen": ("^", "uen"),
+    "weng": ("^", "ueng"),
+    "wo": ("^", "uo"),
+    "wu": ("^", "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", "iou"),
+    "xu": ("x", "v"),
+    "xuan": ("x", "van"),
+    "xue": ("x", "ve"),
+    "xun": ("x", "vn"),
+    "ya": ("^", "ia"),
+    "yan": ("^", "ian"),
+    "yang": ("^", "iang"),
+    "yao": ("^", "iao"),
+    "ye": ("^", "ie"),
+    "yi": ("^", "i"),
+    "yin": ("^", "in"),
+    "ying": ("^", "ing"),
+    "yo": ("^", "iou"),
+    "yong": ("^", "iong"),
+    "you": ("^", "iou"),
+    "yu": ("^", "v"),
+    "yuan": ("^", "van"),
+    "yue": ("^", "ve"),
+    "yun": ("^", "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", "iii"),
+    "zhong": ("zh", "ong"),
+    "zhou": ("zh", "ou"),
+    "zhu": ("zh", "u"),
+    "zhua": ("zh", "ua"),
+    "zhuai": ("zh", "uai"),
+    "zhuan": ("zh", "uan"),
+    "zhuang": ("zh", "uang"),
+    "zhui": ("zh", "uei"),
+    "zhun": ("zh", "uen"),
+    "zhuo": ("zh", "uo"),
+    "zi": ("z", "ii"),
+    "zong": ("z", "ong"),
+    "zou": ("z", "ou"),
+    "zu": ("z", "u"),
+    "zuan": ("z", "uan"),
+    "zui": ("z", "uei"),
+    "zun": ("z", "uen"),
+    "zuo": ("z", "uo"),
+}
+
+
+def gen_vocabs():
+  import yaml
+  vocab = [f"<{c}{i}>" for c in list(pinyin_dict.keys()) for i in range(1,6)]
+  yaml.dump(vocab, open('./vocab.yaml', 'w'))

SongBloom/g2p/pinyin/pinyin.py

@@ -0,0 +1,137 @@
+import re
+
+from pypinyin import Style
+from pypinyin.contrib.neutral_tone import NeutralToneWith5Mixin
+from pypinyin.converter import DefaultConverter
+from pypinyin.core import Pinyin
+
+from . import pinyin_dict
+import torch
+
+
+class MyConverter(NeutralToneWith5Mixin, DefaultConverter):
+    pass
+
+
+def is_chinese(uchar):
+    if uchar >= u'\u4e00' and uchar <= u'\u9fa5':
+        return True
+    else:
+        return False
+
+
+def clean_chinese(text: str):
+    text = text.strip()
+    text_clean = []
+    for char in text:
+        if (is_chinese(char)):
+            text_clean.append(char)
+        else:
+            if len(text_clean) > 1 and is_chinese(text_clean[-1]):
+                text_clean.append(',')
+    text_clean = ''.join(text_clean).strip(',')
+    return text_clean
+
+
+class G2P_PinYin():
+
+    def __init__(self):
+        super(G2P_PinYin, self).__init__()
+        self.pinyin_parser = Pinyin(MyConverter())
+
+    def get_phoneme4pinyin(self, pinyins):
+        result = []
+        count_phone = []
+        for pinyin in pinyins:
+            if pinyin[:-1] in pinyin_dict:
+                tone = pinyin[-1]
+                a = pinyin[:-1]
+                a1, a2 = pinyin_dict[a]
+                result += [a1, a2 + tone]
+                count_phone.append(2)
+        return result, count_phone
+
+    # def chinese_to_phonemes(self, text):
+    #     text = clean_chinese(text)
+    #     phonemes = ["sil"]
+    #     chars = ['[PAD]']
+    #     all_pinyins = []
+    #     count_phone = []
+    #     count_phone.append(1)
+    #     for subtext in text.split(","):
+    #         if (len(subtext) == 0):
+    #             continue
+    #         pinyins = self.correct_pinyin_tone3(subtext)
+    #         all_pinyins.append(' '.join(pinyins))
+    #         sub_p, sub_c = self.get_phoneme4pinyin(pinyins)
+    #         phonemes.extend(sub_p)
+    #         phonemes.append(",")
+    #         count_phone.extend(sub_c)
+    #         count_phone.append(1)
+    #         chars.append(subtext)
+    #         chars.append(',')
+    #     phonemes.append("sil")
+    #     count_phone.append(1)
+    #     chars.append('[PAD]')
+    #     # char_embeds = self.prosody.expand_for_phone(char_embeds, count_phone)
+    #     return " ".join(phonemes), " ".join(chars), ' , '.join(all_pinyins)
+
+    def chinese_to_phonemes(self, text):
+        all_pinyins = []
+        subtext = []
+        for chr in text:
+            if is_chinese(chr):
+                subtext.append(chr)
+            else:
+                if subtext != []:
+                    subtext = ''.join(subtext)
+                    pinyins = self.correct_pinyin_tone3(subtext) 
+                    pinyins = [f"<{i}>" for i in pinyins]   
+                    all_pinyins.append(' '+ ' '.join(pinyins)+ ' ')
+                all_pinyins.append(chr)
+                subtext = []
+        if subtext != []:
+            subtext = ''.join(subtext)
+            pinyins = self.correct_pinyin_tone3(subtext)
+            pinyins = [f"<{i}>" for i in pinyins]     
+            all_pinyins.append(' '+ ' '.join(pinyins)+ ' ')
+        # char_embeds = self.prosody.expand_for_phone(char_embeds, count_phone)
+        return  ''.join(all_pinyins)
+    
+    def correct_pinyin_tone3(self, text):
+        pinyin_list = [
+            p[0]
+            for p in self.pinyin_parser.pinyin(text,
+                                               style=Style.TONE3,
+                                               strict=False,
+                                               neutral_tone_with_five=True)
+        ]
+        if len(pinyin_list) >= 2:
+            for i in range(1, len(pinyin_list)):
+                try:
+                    if re.findall(r'\d',
+                                  pinyin_list[i - 1])[0] == '3' and re.findall(
+                                      r'\d', pinyin_list[i])[0] == '3':
+                        pinyin_list[i - 1] = pinyin_list[i - 1].replace(
+                            '3', '2')
+                except IndexError:
+                    pass
+        return pinyin_list
+
+    # def expand_for_phone(self, char_embeds, length):  # length of phones for char
+    #     if(char_embeds.size(0) > len(length)):
+    #         print(char_embeds.shape, len(length))
+    #         char_embeds = char_embeds[0:len(length),:]
+    #     elif(char_embeds.size(0) < len(length)):
+    #         print(char_embeds.shape, len(length))
+    #         length = length[0:char_embeds.size(0)]
+    #     expand_vecs = list()
+    #     for vec, leng in zip(char_embeds, length):
+    #         vec = vec.expand(leng, -1)
+    #         expand_vecs.append(vec)
+    #     expand_embeds = torch.cat(expand_vecs, 0)
+    #     assert expand_embeds.size(0) == sum(length)
+    #     return expand_embeds.numpy()
+
+    def __call__(self, text):
+        return self.chinese_to_phonemes(text)

SongBloom/g2p/pinyin/symbols.py

@@ -0,0 +1,71 @@
+_pause = ["sil", "eos", "sp", "#0", "#1", "#2", "#3"]
+
+_initials = [
+    "^",
+    "b",
+    "c",
+    "ch",
+    "d",
+    "f",
+    "g",
+    "h",
+    "j",
+    "k",
+    "l",
+    "m",
+    "n",
+    "p",
+    "q",
+    "r",
+    "s",
+    "sh",
+    "t",
+    "x",
+    "z",
+    "zh",
+]
+
+_tones = ["1", "2", "3", "4", "5"]
+
+_finals = [
+    "a",
+    "ai",
+    "an",
+    "ang",
+    "ao",
+    "e",
+    "ei",
+    "en",
+    "eng",
+    "er",
+    "i",
+    "ia",
+    "ian",
+    "iang",
+    "iao",
+    "ie",
+    "ii",
+    "iii",
+    "in",
+    "ing",
+    "iong",
+    "iou",
+    "o",
+    "ong",
+    "ou",
+    "u",
+    "ua",
+    "uai",
+    "uan",
+    "uang",
+    "uei",
+    "uen",
+    "ueng",
+    "uo",
+    "v",
+    "van",
+    "ve",
+    "vn",
+]
+
+symbols = _pause + _initials + [i + j for i in _finals for j in _tones]

SongBloom/models/base/sample.py

@@ -0,0 +1,57 @@
+import torch
+
+
+def multinomial(input: torch.Tensor, num_samples: int, replacement=False, *, generator=None):
+    """torch.multinomial with arbitrary number of dimensions, and number of candidates on the last dimension.
+
+    Args:
+        input (torch.Tensor): The input tensor containing probabilities.
+        num_samples (int): Number of samples to draw.
+        replacement (bool): Whether to draw with replacement or not.
+    Keywords args:
+        generator (torch.Generator): A pseudorandom number generator for sampling.
+    Returns:
+        torch.Tensor: Last dimension contains num_samples indices
+            sampled from the multinomial probability distribution
+            located in the last dimension of tensor input.
+    """
+    input_ = input.reshape(-1, input.shape[-1])
+    output_ = torch.multinomial(input_, num_samples=num_samples, replacement=replacement, generator=generator)
+    output = output_.reshape(*list(input.shape[:-1]), -1)
+    return output
+
+
+def sample_top_k(probs: torch.Tensor, k: int) -> torch.Tensor:
+    """Sample next token from top K values along the last dimension of the input probs tensor.
+
+    Args:
+        probs (torch.Tensor): Input probabilities with token candidates on the last dimension.
+        k (int): The k in “top-k”.
+    Returns:
+        torch.Tensor: Sampled tokens.
+    """
+    top_k_value, _ = torch.topk(probs, k, dim=-1)
+    min_value_top_k = top_k_value[..., [-1]]
+    probs *= (probs >= min_value_top_k).float()
+    probs.div_(probs.sum(dim=-1, keepdim=True))
+    next_token = multinomial(probs, num_samples=1)
+    return next_token
+
+
+def sample_top_p(probs: torch.Tensor, p: float) -> torch.Tensor:
+    """Sample next token from top P probabilities along the last dimension of the input probs tensor.
+
+    Args:
+        probs (torch.Tensor): Input probabilities with token candidates on the last dimension.
+        p (int): The p in “top-p”.
+    Returns:
+        torch.Tensor: Sampled tokens.
+    """
+    probs_sort, probs_idx = torch.sort(probs, dim=-1, descending=True)
+    probs_sum = torch.cumsum(probs_sort, dim=-1)
+    mask = probs_sum - probs_sort > p
+    probs_sort *= (~mask).float()
+    probs_sort.div_(probs_sort.sum(dim=-1, keepdim=True))
+    next_token = multinomial(probs_sort, num_samples=1)
+    next_token = torch.gather(probs_idx, -1, next_token)
+    return next_token

SongBloom/models/base/utils.py

@@ -0,0 +1,57 @@
+import torch
+import torch.nn as nn
+import typing as tp
+
+def length_to_mask(lengths: torch.Tensor, max_len: tp.Optional[int] = None) -> torch.Tensor:
+    """Utility function to convert a tensor of sequence lengths to a mask (useful when working on padded sequences).
+    For example: [3, 5] => [[1, 1, 1, 0, 0], [1, 1, 1, 1, 1]]
+
+    Args:
+        lengths (torch.Tensor): tensor with lengths
+        max_len (int): can set the max length manually. Defaults to None.
+    Returns:
+        torch.Tensor: mask with 0s where there is pad tokens else 1s
+    """
+    assert len(lengths.shape) == 1, "Length shape should be 1 dimensional."
+    final_length = lengths.max().item() if not max_len else max_len
+    final_length = max(final_length, 1)  # if all seqs are of len zero we don't want a zero-size tensor
+    return torch.arange(final_length)[None, :].to(lengths.device) < lengths[:, None]
+
+
+def create_sin_embedding(positions: torch.Tensor, dim: int, max_period: float = 10000,
+                         dtype: torch.dtype = torch.float32) -> torch.Tensor:
+    """Create sinusoidal positional embedding, with shape `[B, T, C]`.
+
+    Args:
+        positions (torch.Tensor): LongTensor of positions.
+        dim (int): Dimension of the embedding.
+        max_period (float): Maximum period of the cosine/sine functions.
+        dtype (torch.dtype or str): dtype to use to generate the embedding.
+    Returns:
+        torch.Tensor: Sinusoidal positional embedding.
+    """
+    # We aim for BTC format
+    assert dim % 2 == 0
+    half_dim = dim // 2
+    positions = positions.to(dtype)
+    adim = torch.arange(half_dim, device=positions.device, dtype=dtype).view(1, 1, -1)
+    max_period_tensor = torch.full([], max_period, device=positions.device, dtype=dtype)  # avoid sync point
+    phase = positions / (max_period_tensor ** (adim / (half_dim - 1)))
+    # phase = phase.to(torch.bfloat16)
+    return torch.cat([torch.cos(phase), torch.sin(phase)], dim=-1)
+
+
+def create_norm_fn(norm_type: str, dim: int, **kwargs) -> nn.Module:
+    """Create normalization module for transformer encoder layer.
+
+    Args:
+        norm_type (str): Normalization method.
+        dim (int): Dimension of the normalized layer.
+        **kwargs (dict): Additional parameters for normalization layer.
+    Returns:
+        nn.Module: Normalization module.
+    """
+    if norm_type == 'layer_norm':
+        return nn.LayerNorm(dim, eps=1e-5, **kwargs)
+    else:
+        raise ValueError(f"Unknown norm type: {norm_type}")