415 lines
11 KiB
Python
415 lines
11 KiB
Python
import pickle
|
||
import os
|
||
import re
|
||
from pathlib import Path
|
||
|
||
import inflect
|
||
from g2p_en import G2p
|
||
|
||
from style_bert_vits2.constants import Languages
|
||
from style_bert_vits2.nlp import bert_models
|
||
from style_bert_vits2.nlp.symbols import PUNCTUATIONS, SYMBOLS
|
||
|
||
|
||
CMU_DICT_PATH = Path(__file__).parent / "cmudict.rep"
|
||
CACHE_PATH = Path(__file__).parent / "cmudict_cache.pickle"
|
||
|
||
|
||
def g2p(text: str) -> tuple[list[str], list[int], list[int]]:
|
||
|
||
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",
|
||
}
|
||
|
||
_g2p = G2p()
|
||
|
||
phones = []
|
||
tones = []
|
||
phone_len = []
|
||
# tokens = [tokenizer.tokenize(i) for i in words]
|
||
words = __text_to_words(text)
|
||
eng_dict = __get_dict()
|
||
|
||
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))) # type: ignore
|
||
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
|
||
|
||
|
||
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 __normalize_numbers(text: str) -> str:
|
||
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 __replace_punctuation(text: str) -> str:
|
||
REPLACE_MAP = {
|
||
"：": ",",
|
||
"；": ",",
|
||
"，": ",",
|
||
"。": ".",
|
||
"！": "!",
|
||
"？": "?",
|
||
"\n": ".",
|
||
"．": ".",
|
||
"…": "...",
|
||
"···": "...",
|
||
"・・・": "...",
|
||
"·": ",",
|
||
"・": ",",
|
||
"、": ",",
|
||
"$": ".",
|
||
"“": "'",
|
||
"”": "'",
|
||
'"': "'",
|
||
"‘": "'",
|
||
"’": "'",
|
||
"（": "'",
|
||
"）": "'",
|
||
"(": "'",
|
||
")": "'",
|
||
"《": "'",
|
||
"》": "'",
|
||
"【": "'",
|
||
"】": "'",
|
||
"[": "'",
|
||
"]": "'",
|
||
"—": "-",
|
||
"−": "-",
|
||
"～": "-",
|
||
"~": "-",
|
||
"「": "'",
|
||
"」": "'",
|
||
}
|
||
pattern = re.compile("|".join(re.escape(p) for p in REPLACE_MAP.keys()))
|
||
replaced_text = pattern.sub(lambda x: REPLACE_MAP[x.group()], text)
|
||
# replaced_text = re.sub(
|
||
# r"[^\u3040-\u309F\u30A0-\u30FF\u4E00-\u9FFF\u3400-\u4DBF\u3005"
|
||
# + "".join(punctuation)
|
||
# + r"]+",
|
||
# "",
|
||
# replaced_text,
|
||
# )
|
||
return replaced_text
|
||
|
||
|
||
def __post_replace_ph(ph: str) -> str:
|
||
REPLACE_MAP = {
|
||
"：": ",",
|
||
"；": ",",
|
||
"，": ",",
|
||
"。": ".",
|
||
"！": "!",
|
||
"？": "?",
|
||
"\n": ".",
|
||
"·": ",",
|
||
"、": ",",
|
||
"…": "...",
|
||
"···": "...",
|
||
"・・・": "...",
|
||
"v": "V",
|
||
}
|
||
if ph in REPLACE_MAP.keys():
|
||
ph = REPLACE_MAP[ph]
|
||
if ph in SYMBOLS:
|
||
return ph
|
||
if ph not in SYMBOLS:
|
||
ph = "UNK"
|
||
return ph
|
||
|
||
|
||
def __read_dict() -> dict[str, list[list[str]]]:
|
||
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]
|
||
|
||
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 __cache_dict(g2p_dict: dict[str, list[list[str]]], file_path: Path) -> None:
|
||
with open(file_path, "wb") as pickle_file:
|
||
pickle.dump(g2p_dict, pickle_file)
|
||
|
||
|
||
def __get_dict() -> dict[str, list[list[str]]]:
|
||
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()
|
||
__cache_dict(g2p_dict, CACHE_PATH)
|
||
|
||
return g2p_dict
|
||
|
||
|
||
def __refine_ph(phn: str) -> tuple[str, int]:
|
||
tone = 0
|
||
if re.search(r"\d$", phn):
|
||
tone = int(phn[-1]) + 1
|
||
phn = phn[:-1]
|
||
else:
|
||
tone = 3
|
||
return phn.lower(), tone
|
||
|
||
|
||
def __refine_syllables(syllables: list[list[str]]) -> tuple[list[str], list[int]]:
|
||
tones = []
|
||
phonemes = []
|
||
for phn_list in syllables:
|
||
for i in range(len(phn_list)):
|
||
phn = phn_list[i]
|
||
phn, tone = __refine_ph(phn)
|
||
phonemes.append(phn)
|
||
tones.append(tone)
|
||
return phonemes, tones
|
||
|
||
|
||
__inflect = inflect.engine()
|
||
__comma_number_re = re.compile(r"([0-9][0-9\,]+[0-9])")
|
||
__decimal_number_re = re.compile(r"([0-9]+\.[0-9]+)")
|
||
__pounds_re = re.compile(r"£([0-9\,]*[0-9]+)")
|
||
__dollars_re = re.compile(r"\$([0-9\.\,]*[0-9]+)")
|
||
__ordinal_re = re.compile(r"[0-9]+(st|nd|rd|th)")
|
||
__number_re = re.compile(r"[0-9]+")
|
||
|
||
|
||
def __expand_dollars(m: re.Match[str]) -> str:
|
||
match = m.group(1)
|
||
parts = match.split(".")
|
||
if len(parts) > 2:
|
||
return match + " dollars" # Unexpected format
|
||
dollars = int(parts[0]) if parts[0] else 0
|
||
cents = int(parts[1]) if len(parts) > 1 and parts[1] else 0
|
||
if dollars and cents:
|
||
dollar_unit = "dollar" if dollars == 1 else "dollars"
|
||
cent_unit = "cent" if cents == 1 else "cents"
|
||
return "%s %s, %s %s" % (dollars, dollar_unit, cents, cent_unit)
|
||
elif dollars:
|
||
dollar_unit = "dollar" if dollars == 1 else "dollars"
|
||
return "%s %s" % (dollars, dollar_unit)
|
||
elif cents:
|
||
cent_unit = "cent" if cents == 1 else "cents"
|
||
return "%s %s" % (cents, cent_unit)
|
||
else:
|
||
return "zero dollars"
|
||
|
||
|
||
def __remove_commas(m: re.Match[str]) -> str:
|
||
return m.group(1).replace(",", "")
|
||
|
||
|
||
def __expand_ordinal(m: re.Match[str]) -> str:
|
||
return __inflect.number_to_words(m.group(0)) # type: ignore
|
||
|
||
|
||
def __expand_number(m: re.Match[str]) -> str:
|
||
num = int(m.group(0))
|
||
if num > 1000 and num < 3000:
|
||
if num == 2000:
|
||
return "two thousand"
|
||
elif num > 2000 and num < 2010:
|
||
return "two thousand " + __inflect.number_to_words(num % 100) # type: ignore
|
||
elif num % 100 == 0:
|
||
return __inflect.number_to_words(num // 100) + " hundred" # type: ignore
|
||
else:
|
||
return __inflect.number_to_words(
|
||
num, andword="", zero="oh", group=2 # type: ignore
|
||
).replace(", ", " ") # type: ignore
|
||
else:
|
||
return __inflect.number_to_words(num, andword="") # type: ignore
|
||
|
||
|
||
def __expand_decimal_point(m: re.Match[str]) -> str:
|
||
return m.group(1).replace(".", " point ")
|
||
|
||
|
||
def __distribute_phone(n_phone: int, n_word: int) -> list[int]:
|
||
phones_per_word = [0] * n_word
|
||
for task in range(n_phone):
|
||
min_tasks = min(phones_per_word)
|
||
min_index = phones_per_word.index(min_tasks)
|
||
phones_per_word[min_index] += 1
|
||
return phones_per_word
|
||
|
||
|
||
def __text_to_words(text: str) -> list[list[str]]:
|
||
tokenizer = bert_models.load_tokenizer(Languages.EN)
|
||
tokens = tokenizer.tokenize(text)
|
||
words = []
|
||
for idx, t in enumerate(tokens):
|
||
if t.startswith("▁"):
|
||
words.append([t[1:]])
|
||
else:
|
||
if t in PUNCTUATIONS:
|
||
if idx == len(tokens) - 1:
|
||
words.append([f"{t}"])
|
||
else:
|
||
if (
|
||
not tokens[idx + 1].startswith("▁")
|
||
and tokens[idx + 1] not in PUNCTUATIONS
|
||
):
|
||
if idx == 0:
|
||
words.append([])
|
||
words[-1].append(f"{t}")
|
||
else:
|
||
words.append([f"{t}"])
|
||
else:
|
||
if idx == 0:
|
||
words.append([])
|
||
words[-1].append(f"{t}")
|
||
return words
|
||
|
||
|
||
if __name__ == "__main__":
|
||
# print(get_dict())
|
||
# print(eng_word_to_phoneme("hello"))
|
||
print(g2p("In this paper, we propose 1 DSPGAN, a GAN-based universal vocoder."))
|
||
# all_phones = set()
|
||
# eng_dict = get_dict()
|
||
# for k, syllables in eng_dict.items():
|
||
# for group in syllables:
|
||
# for ph in group:
|
||
# all_phones.add(ph)
|
||
# print(all_phones)
|