Refactor: cleanup style_bert_vits2/nlp/english/__init__.py
This commit is contained in:
tsukumi
@@ -1,6 +1,9 @@
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import pickle
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import pickle
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import os
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import os
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import re
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import re
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from pathlib import Path
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import inflect
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from g2p_en import G2p
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from g2p_en import G2p
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from style_bert_vits2.constants import Languages
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from style_bert_vits2.constants import Languages
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@@ -8,88 +11,215 @@ from style_bert_vits2.nlp import bert_models
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from style_bert_vits2.nlp.symbols import PUNCTUATIONS, SYMBOLS
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from style_bert_vits2.nlp.symbols import PUNCTUATIONS, SYMBOLS
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current_file_path = os.path.dirname(__file__)
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CMU_DICT_PATH = Path(__file__).parent / "cmudict.rep"
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CMU_DICT_PATH = os.path.join(current_file_path, "cmudict.rep")
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CACHE_PATH = Path(__file__).parent / "cmudict_cache.pickle"
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CACHE_PATH = os.path.join(current_file_path, "cmudict_cache.pickle")
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_g2p = G2p()
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arpa = {
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"AH0",
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"S",
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"AH1",
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"EY2",
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"AE2",
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"EH0",
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"OW2",
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"UH0",
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"NG",
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"B",
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"G",
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"AY0",
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"M",
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"AA0",
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"F",
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"AO0",
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"ER2",
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"UH1",
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"IY1",
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"AH2",
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"DH",
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"IY0",
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"EY1",
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"IH0",
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"K",
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"N",
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"W",
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"IY2",
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"T",
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"AA1",
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"ER1",
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"EH2",
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"OY0",
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"UH2",
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"UW1",
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"Z",
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"AW2",
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"AW1",
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"V",
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"UW2",
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"AA2",
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"ER",
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"AW0",
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"UW0",
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"R",
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"OW1",
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"EH1",
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"ZH",
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"AE0",
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"IH2",
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"IH",
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"Y",
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"JH",
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"P",
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"AY1",
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"EY0",
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"OY2",
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"TH",
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"HH",
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"D",
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"ER0",
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"CH",
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"AO1",
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"AE1",
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"AO2",
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"OY1",
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"AY2",
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"IH1",
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"OW0",
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"L",
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"SH",
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}
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def post_replace_ph(ph):
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def g2p(text: str) -> tuple[list[str], list[int], list[int]]:
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rep_map = {
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ARPA = {
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"AH0",
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"S",
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"AH1",
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"EY2",
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"AE2",
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"EH0",
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"OW2",
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"UH0",
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"NG",
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"B",
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"G",
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"AY0",
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"M",
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"AA0",
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"F",
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"AO0",
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"ER2",
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"UH1",
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"IY1",
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"AH2",
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"DH",
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"IY0",
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"EY1",
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"IH0",
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"K",
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"N",
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"W",
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"IY2",
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"T",
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"AA1",
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"ER1",
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"EH2",
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"OY0",
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"UH2",
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"UW1",
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"Z",
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"AW2",
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"AW1",
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"V",
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"UW2",
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"AA2",
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"ER",
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"AW0",
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"UW0",
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"R",
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"OW1",
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"EH1",
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"ZH",
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"AE0",
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"IH2",
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"IH",
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"Y",
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"JH",
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"P",
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"AY1",
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"EY0",
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"OY2",
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"TH",
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"HH",
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"D",
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"ER0",
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"CH",
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"AO1",
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"AE1",
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"AO2",
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"OY1",
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"AY2",
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"IH1",
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"OW0",
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"L",
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"SH",
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}
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_g2p = G2p()
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phones = []
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tones = []
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phone_len = []
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# tokens = [tokenizer.tokenize(i) for i in words]
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words = __text_to_words(text)
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eng_dict = __get_dict()
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for word in words:
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temp_phones, temp_tones = [], []
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if len(word) > 1:
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if "'" in word:
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word = ["".join(word)]
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for w in word:
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if w in PUNCTUATIONS:
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temp_phones.append(w)
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temp_tones.append(0)
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continue
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if w.upper() in eng_dict:
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phns, tns = __refine_syllables(eng_dict[w.upper()])
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temp_phones += [__post_replace_ph(i) for i in phns]
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temp_tones += tns
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# w2ph.append(len(phns))
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else:
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phone_list = list(filter(lambda p: p != " ", _g2p(w))) # type: ignore
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phns = []
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tns = []
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for ph in phone_list:
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if ph in ARPA:
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ph, tn = __refine_ph(ph)
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phns.append(ph)
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tns.append(tn)
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else:
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phns.append(ph)
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tns.append(0)
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temp_phones += [__post_replace_ph(i) for i in phns]
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temp_tones += tns
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phones += temp_phones
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tones += temp_tones
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phone_len.append(len(temp_phones))
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# phones = [post_replace_ph(i) for i in phones]
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word2ph = []
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for token, pl in zip(words, phone_len):
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word_len = len(token)
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aaa = __distribute_phone(pl, word_len)
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word2ph += aaa
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phones = ["_"] + phones + ["_"]
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tones = [0] + tones + [0]
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word2ph = [1] + word2ph + [1]
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assert len(phones) == len(tones), text
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assert len(phones) == sum(word2ph), text
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return phones, tones, word2ph
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def normalize_text(text: str) -> str:
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text = __normalize_numbers(text)
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text = __replace_punctuation(text)
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text = re.sub(r"([,;.\?\!])([\w])", r"\1 \2", text)
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return text
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def __normalize_numbers(text: str) -> str:
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text = re.sub(__comma_number_re, __remove_commas, text)
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text = re.sub(__pounds_re, r"\1 pounds", text)
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text = re.sub(__dollars_re, __expand_dollars, text)
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text = re.sub(__decimal_number_re, __expand_decimal_point, text)
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text = re.sub(__ordinal_re, __expand_ordinal, text)
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text = re.sub(__number_re, __expand_number, text)
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return text
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def __replace_punctuation(text: str) -> str:
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REPLACE_MAP = {
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"：": ",",
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"；": ",",
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"，": ",",
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"。": ".",
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"！": "!",
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"？": "?",
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"\n": ".",
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"．": ".",
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"…": "...",
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"···": "...",
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"・・・": "...",
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"·": ",",
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"・": ",",
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"、": ",",
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"$": ".",
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"“": "'",
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"”": "'",
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'"': "'",
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"‘": "'",
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"’": "'",
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"（": "'",
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"）": "'",
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"(": "'",
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")": "'",
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"《": "'",
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"》": "'",
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"【": "'",
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"】": "'",
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"[": "'",
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"]": "'",
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"—": "-",
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"−": "-",
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"～": "-",
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"~": "-",
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"「": "'",
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"」": "'",
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}
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pattern = re.compile("|".join(re.escape(p) for p in REPLACE_MAP.keys()))
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replaced_text = pattern.sub(lambda x: REPLACE_MAP[x.group()], text)
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# replaced_text = re.sub(
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# r"[^\u3040-\u309F\u30A0-\u30FF\u4E00-\u9FFF\u3400-\u4DBF\u3005"
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# + "".join(punctuation)
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# + r"]+",
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# "",
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# replaced_text,
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# )
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return replaced_text
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def __post_replace_ph(ph: str) -> str:
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REPLACE_MAP = {
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"：": ",",
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"：": ",",
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"；": ",",
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"；": ",",
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"，": ",",
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"，": ",",
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@@ -104,8 +234,8 @@ def post_replace_ph(ph):
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"・・・": "...",
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"・・・": "...",
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"v": "V",
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"v": "V",
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}
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}
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if ph in rep_map.keys():
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if ph in REPLACE_MAP.keys():
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ph = rep_map[ph]
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ph = REPLACE_MAP[ph]
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if ph in SYMBOLS:
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if ph in SYMBOLS:
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return ph
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return ph
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if ph not in SYMBOLS:
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if ph not in SYMBOLS:
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@@ -113,63 +243,7 @@ def post_replace_ph(ph):
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return ph
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return ph
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rep_map = {
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def __read_dict() -> dict[str, list[list[str]]]:
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"：": ",",
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"；": ",",
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"，": ",",
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"。": ".",
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"！": "!",
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"？": "?",
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"\n": ".",
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"．": ".",
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"…": "...",
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"···": "...",
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"・・・": "...",
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"·": ",",
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"・": ",",
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"、": ",",
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"$": ".",
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"“": "'",
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"”": "'",
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'"': "'",
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"‘": "'",
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"’": "'",
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"（": "'",
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"）": "'",
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"(": "'",
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")": "'",
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"《": "'",
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"》": "'",
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"【": "'",
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"】": "'",
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"[": "'",
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"]": "'",
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"—": "-",
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"−": "-",
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"～": "-",
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"~": "-",
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"「": "'",
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"」": "'",
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}
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def replace_punctuation(text):
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pattern = re.compile("|".join(re.escape(p) for p in rep_map.keys()))
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replaced_text = pattern.sub(lambda x: rep_map[x.group()], text)
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# replaced_text = re.sub(
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# r"[^\u3040-\u309F\u30A0-\u30FF\u4E00-\u9FFF\u3400-\u4DBF\u3005"
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# + "".join(punctuation)
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# + r"]+",
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# "",
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# replaced_text,
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# )
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return replaced_text
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def read_dict():
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g2p_dict = {}
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g2p_dict = {}
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start_line = 49
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start_line = 49
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with open(CMU_DICT_PATH) as f:
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with open(CMU_DICT_PATH) as f:
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@@ -193,26 +267,23 @@ def read_dict():
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return g2p_dict
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return g2p_dict
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def cache_dict(g2p_dict, file_path):
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def __cache_dict(g2p_dict: dict[str, list[list[str]]], file_path: Path) -> None:
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with open(file_path, "wb") as pickle_file:
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with open(file_path, "wb") as pickle_file:
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pickle.dump(g2p_dict, pickle_file)
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pickle.dump(g2p_dict, pickle_file)
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def get_dict():
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def __get_dict() -> dict[str, list[list[str]]]:
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if os.path.exists(CACHE_PATH):
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if os.path.exists(CACHE_PATH):
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with open(CACHE_PATH, "rb") as pickle_file:
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with open(CACHE_PATH, "rb") as pickle_file:
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g2p_dict = pickle.load(pickle_file)
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g2p_dict = pickle.load(pickle_file)
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else:
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else:
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g2p_dict = read_dict()
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g2p_dict = __read_dict()
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cache_dict(g2p_dict, CACHE_PATH)
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__cache_dict(g2p_dict, CACHE_PATH)
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return g2p_dict
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return g2p_dict
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eng_dict = get_dict()
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def __refine_ph(phn: str) -> tuple[str, int]:
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|
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def refine_ph(phn):
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|
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tone = 0
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tone = 0
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if re.search(r"\d$", phn):
|
if re.search(r"\d$", phn):
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tone = int(phn[-1]) + 1
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tone = int(phn[-1]) + 1
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@@ -222,93 +293,28 @@ def refine_ph(phn):
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return phn.lower(), tone
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return phn.lower(), tone
|
||||||
|
|
||||||
|
|
||||||
def refine_syllables(syllables):
|
def __refine_syllables(syllables: list[list[str]]) -> tuple[list[str], list[int]]:
|
||||||
tones = []
|
tones = []
|
||||||
phonemes = []
|
phonemes = []
|
||||||
for phn_list in syllables:
|
for phn_list in syllables:
|
||||||
for i in range(len(phn_list)):
|
for i in range(len(phn_list)):
|
||||||
phn = phn_list[i]
|
phn = phn_list[i]
|
||||||
phn, tone = refine_ph(phn)
|
phn, tone = __refine_ph(phn)
|
||||||
phonemes.append(phn)
|
phonemes.append(phn)
|
||||||
tones.append(tone)
|
tones.append(tone)
|
||||||
return phonemes, tones
|
return phonemes, tones
|
||||||
|
|
||||||
|
|
||||||
import inflect
|
__inflect = inflect.engine()
|
||||||
|
__comma_number_re = re.compile(r"([0-9][0-9\,]+[0-9])")
|
||||||
_inflect = inflect.engine()
|
__decimal_number_re = re.compile(r"([0-9]+\.[0-9]+)")
|
||||||
_comma_number_re = re.compile(r"([0-9][0-9\,]+[0-9])")
|
__pounds_re = re.compile(r"£([0-9\,]*[0-9]+)")
|
||||||
_decimal_number_re = re.compile(r"([0-9]+\.[0-9]+)")
|
__dollars_re = re.compile(r"\$([0-9\.\,]*[0-9]+)")
|
||||||
_pounds_re = re.compile(r"£([0-9\,]*[0-9]+)")
|
__ordinal_re = re.compile(r"[0-9]+(st|nd|rd|th)")
|
||||||
_dollars_re = re.compile(r"\$([0-9\.\,]*[0-9]+)")
|
__number_re = re.compile(r"[0-9]+")
|
||||||
_ordinal_re = re.compile(r"[0-9]+(st|nd|rd|th)")
|
|
||||||
_number_re = re.compile(r"[0-9]+")
|
|
||||||
|
|
||||||
# List of (regular expression, replacement) pairs for abbreviations:
|
|
||||||
_abbreviations = [
|
|
||||||
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
|
|
||||||
for x in [
|
|
||||||
("mrs", "misess"),
|
|
||||||
("mr", "mister"),
|
|
||||||
("dr", "doctor"),
|
|
||||||
("st", "saint"),
|
|
||||||
("co", "company"),
|
|
||||||
("jr", "junior"),
|
|
||||||
("maj", "major"),
|
|
||||||
("gen", "general"),
|
|
||||||
("drs", "doctors"),
|
|
||||||
("rev", "reverend"),
|
|
||||||
("lt", "lieutenant"),
|
|
||||||
("hon", "honorable"),
|
|
||||||
("sgt", "sergeant"),
|
|
||||||
("capt", "captain"),
|
|
||||||
("esq", "esquire"),
|
|
||||||
("ltd", "limited"),
|
|
||||||
("col", "colonel"),
|
|
||||||
("ft", "fort"),
|
|
||||||
]
|
|
||||||
]
|
|
||||||
|
|
||||||
|
|
||||||
# List of (ipa, lazy ipa) pairs:
|
def __expand_dollars(m: re.Match[str]) -> str:
|
||||||
_lazy_ipa = [
|
|
||||||
(re.compile("%s" % x[0]), x[1])
|
|
||||||
for x in [
|
|
||||||
("r", "ɹ"),
|
|
||||||
("æ", "e"),
|
|
||||||
("ɑ", "a"),
|
|
||||||
("ɔ", "o"),
|
|
||||||
("ð", "z"),
|
|
||||||
("θ", "s"),
|
|
||||||
("ɛ", "e"),
|
|
||||||
("ɪ", "i"),
|
|
||||||
("ʊ", "u"),
|
|
||||||
("ʒ", "ʥ"),
|
|
||||||
("ʤ", "ʥ"),
|
|
||||||
("ˈ", "↓"),
|
|
||||||
]
|
|
||||||
]
|
|
||||||
|
|
||||||
# List of (ipa, lazy ipa2) pairs:
|
|
||||||
_lazy_ipa2 = [
|
|
||||||
(re.compile("%s" % x[0]), x[1])
|
|
||||||
for x in [
|
|
||||||
("r", "ɹ"),
|
|
||||||
("ð", "z"),
|
|
||||||
("θ", "s"),
|
|
||||||
("ʒ", "ʑ"),
|
|
||||||
("ʤ", "dʑ"),
|
|
||||||
("ˈ", "↓"),
|
|
||||||
]
|
|
||||||
]
|
|
||||||
|
|
||||||
# List of (ipa, ipa2) pairs
|
|
||||||
_ipa_to_ipa2 = [
|
|
||||||
(re.compile("%s" % x[0]), x[1]) for x in [("r", "ɹ"), ("ʤ", "dʒ"), ("ʧ", "tʃ")]
|
|
||||||
]
|
|
||||||
|
|
||||||
|
|
||||||
def _expand_dollars(m):
|
|
||||||
match = m.group(1)
|
match = m.group(1)
|
||||||
parts = match.split(".")
|
parts = match.split(".")
|
||||||
if len(parts) > 2:
|
if len(parts) > 2:
|
||||||
@@ -329,53 +335,36 @@ def _expand_dollars(m):
|
|||||||
return "zero dollars"
|
return "zero dollars"
|
||||||
|
|
||||||
|
|
||||||
def _remove_commas(m):
|
def __remove_commas(m: re.Match[str]) -> str:
|
||||||
return m.group(1).replace(",", "")
|
return m.group(1).replace(",", "")
|
||||||
|
|
||||||
|
|
||||||
def _expand_ordinal(m):
|
def __expand_ordinal(m: re.Match[str]) -> str:
|
||||||
return _inflect.number_to_words(m.group(0))
|
return __inflect.number_to_words(m.group(0)) # type: ignore
|
||||||
|
|
||||||
|
|
||||||
def _expand_number(m):
|
def __expand_number(m: re.Match[str]) -> str:
|
||||||
num = int(m.group(0))
|
num = int(m.group(0))
|
||||||
if num > 1000 and num < 3000:
|
if num > 1000 and num < 3000:
|
||||||
if num == 2000:
|
if num == 2000:
|
||||||
return "two thousand"
|
return "two thousand"
|
||||||
elif num > 2000 and num < 2010:
|
elif num > 2000 and num < 2010:
|
||||||
return "two thousand " + _inflect.number_to_words(num % 100)
|
return "two thousand " + __inflect.number_to_words(num % 100) # type: ignore
|
||||||
elif num % 100 == 0:
|
elif num % 100 == 0:
|
||||||
return _inflect.number_to_words(num // 100) + " hundred"
|
return __inflect.number_to_words(num // 100) + " hundred" # type: ignore
|
||||||
else:
|
else:
|
||||||
return _inflect.number_to_words(
|
return __inflect.number_to_words(
|
||||||
num, andword="", zero="oh", group=2
|
num, andword="", zero="oh", group=2 # type: ignore
|
||||||
).replace(", ", " ")
|
).replace(", ", " ") # type: ignore
|
||||||
else:
|
else:
|
||||||
return _inflect.number_to_words(num, andword="")
|
return __inflect.number_to_words(num, andword="") # type: ignore
|
||||||
|
|
||||||
|
|
||||||
def _expand_decimal_point(m):
|
def __expand_decimal_point(m: re.Match[str]) -> str:
|
||||||
return m.group(1).replace(".", " point ")
|
return m.group(1).replace(".", " point ")
|
||||||
|
|
||||||
|
|
||||||
def normalize_numbers(text):
|
def __distribute_phone(n_phone: int, n_word: int) -> list[int]:
|
||||||
text = re.sub(_comma_number_re, _remove_commas, text)
|
|
||||||
text = re.sub(_pounds_re, r"\1 pounds", text)
|
|
||||||
text = re.sub(_dollars_re, _expand_dollars, text)
|
|
||||||
text = re.sub(_decimal_number_re, _expand_decimal_point, text)
|
|
||||||
text = re.sub(_ordinal_re, _expand_ordinal, text)
|
|
||||||
text = re.sub(_number_re, _expand_number, text)
|
|
||||||
return text
|
|
||||||
|
|
||||||
|
|
||||||
def normalize_text(text: str) -> str:
|
|
||||||
text = normalize_numbers(text)
|
|
||||||
text = replace_punctuation(text)
|
|
||||||
text = re.sub(r"([,;.\?\!])([\w])", r"\1 \2", text)
|
|
||||||
return text
|
|
||||||
|
|
||||||
|
|
||||||
def distribute_phone(n_phone, n_word):
|
|
||||||
phones_per_word = [0] * n_word
|
phones_per_word = [0] * n_word
|
||||||
for task in range(n_phone):
|
for task in range(n_phone):
|
||||||
min_tasks = min(phones_per_word)
|
min_tasks = min(phones_per_word)
|
||||||
@@ -384,13 +373,7 @@ def distribute_phone(n_phone, n_word):
|
|||||||
return phones_per_word
|
return phones_per_word
|
||||||
|
|
||||||
|
|
||||||
def sep_text(text):
|
def __text_to_words(text: str) -> list[list[str]]:
|
||||||
words = re.split(r"([,;.\?\!\s+])", text)
|
|
||||||
words = [word for word in words if word.strip() != ""]
|
|
||||||
return words
|
|
||||||
|
|
||||||
|
|
||||||
def text_to_words(text):
|
|
||||||
tokenizer = bert_models.load_tokenizer(Languages.EN)
|
tokenizer = bert_models.load_tokenizer(Languages.EN)
|
||||||
tokens = tokenizer.tokenize(text)
|
tokens = tokenizer.tokenize(text)
|
||||||
words = []
|
words = []
|
||||||
@@ -418,69 +401,12 @@ def text_to_words(text):
|
|||||||
return words
|
return words
|
||||||
|
|
||||||
|
|
||||||
def g2p(text: str) -> tuple[list[str], list[int], list[int]]:
|
|
||||||
phones = []
|
|
||||||
tones = []
|
|
||||||
phone_len = []
|
|
||||||
# words = sep_text(text)
|
|
||||||
# tokens = [tokenizer.tokenize(i) for i in words]
|
|
||||||
words = text_to_words(text)
|
|
||||||
|
|
||||||
for word in words:
|
|
||||||
temp_phones, temp_tones = [], []
|
|
||||||
if len(word) > 1:
|
|
||||||
if "'" in word:
|
|
||||||
word = ["".join(word)]
|
|
||||||
for w in word:
|
|
||||||
if w in PUNCTUATIONS:
|
|
||||||
temp_phones.append(w)
|
|
||||||
temp_tones.append(0)
|
|
||||||
continue
|
|
||||||
if w.upper() in eng_dict:
|
|
||||||
phns, tns = refine_syllables(eng_dict[w.upper()])
|
|
||||||
temp_phones += [post_replace_ph(i) for i in phns]
|
|
||||||
temp_tones += tns
|
|
||||||
# w2ph.append(len(phns))
|
|
||||||
else:
|
|
||||||
phone_list = list(filter(lambda p: p != " ", _g2p(w)))
|
|
||||||
phns = []
|
|
||||||
tns = []
|
|
||||||
for ph in phone_list:
|
|
||||||
if ph in arpa:
|
|
||||||
ph, tn = refine_ph(ph)
|
|
||||||
phns.append(ph)
|
|
||||||
tns.append(tn)
|
|
||||||
else:
|
|
||||||
phns.append(ph)
|
|
||||||
tns.append(0)
|
|
||||||
temp_phones += [post_replace_ph(i) for i in phns]
|
|
||||||
temp_tones += tns
|
|
||||||
phones += temp_phones
|
|
||||||
tones += temp_tones
|
|
||||||
phone_len.append(len(temp_phones))
|
|
||||||
# phones = [post_replace_ph(i) for i in phones]
|
|
||||||
|
|
||||||
word2ph = []
|
|
||||||
for token, pl in zip(words, phone_len):
|
|
||||||
word_len = len(token)
|
|
||||||
|
|
||||||
aaa = distribute_phone(pl, word_len)
|
|
||||||
word2ph += aaa
|
|
||||||
|
|
||||||
phones = ["_"] + phones + ["_"]
|
|
||||||
tones = [0] + tones + [0]
|
|
||||||
word2ph = [1] + word2ph + [1]
|
|
||||||
assert len(phones) == len(tones), text
|
|
||||||
assert len(phones) == sum(word2ph), text
|
|
||||||
|
|
||||||
return phones, tones, word2ph
|
|
||||||
|
|
||||||
|
|
||||||
if __name__ == "__main__":
|
if __name__ == "__main__":
|
||||||
# print(get_dict())
|
# print(get_dict())
|
||||||
# print(eng_word_to_phoneme("hello"))
|
# print(eng_word_to_phoneme("hello"))
|
||||||
print(g2p("In this paper, we propose 1 DSPGAN, a GAN-based universal vocoder."))
|
print(g2p("In this paper, we propose 1 DSPGAN, a GAN-based universal vocoder."))
|
||||||
# all_phones = set()
|
# all_phones = set()
|
||||||
|
# eng_dict = get_dict()
|
||||||
# for k, syllables in eng_dict.items():
|
# for k, syllables in eng_dict.items():
|
||||||
# for group in syllables:
|
# for group in syllables:
|
||||||
# for ph in group:
|
# for ph in group:
|
||||||
|
|||||||
Reference in New Issue
Block a user