init gsv
This commit is contained in:
276
bi_v100-gpt-sovits/GPT-SoVITS/GPT_SoVITS/text/japanese.py
Normal file
276
bi_v100-gpt-sovits/GPT-SoVITS/GPT_SoVITS/text/japanese.py
Normal file
@@ -0,0 +1,276 @@
|
||||
# modified from https://github.com/CjangCjengh/vits/blob/main/text/japanese.py
|
||||
import re
|
||||
import os
|
||||
import hashlib
|
||||
|
||||
try:
|
||||
import pyopenjtalk
|
||||
|
||||
current_file_path = os.path.dirname(__file__)
|
||||
|
||||
# 防止win下无法读取模型
|
||||
if os.name == "nt":
|
||||
python_dir = os.getcwd()
|
||||
OPEN_JTALK_DICT_DIR = pyopenjtalk.OPEN_JTALK_DICT_DIR.decode("utf-8")
|
||||
if not (re.match(r"^[A-Za-z0-9_/\\:.\-]*$", OPEN_JTALK_DICT_DIR)):
|
||||
if OPEN_JTALK_DICT_DIR[: len(python_dir)].upper() == python_dir.upper():
|
||||
OPEN_JTALK_DICT_DIR = os.path.join(os.path.relpath(OPEN_JTALK_DICT_DIR, python_dir))
|
||||
else:
|
||||
import shutil
|
||||
|
||||
if not os.path.exists("TEMP"):
|
||||
os.mkdir("TEMP")
|
||||
if not os.path.exists(os.path.join("TEMP", "ja")):
|
||||
os.mkdir(os.path.join("TEMP", "ja"))
|
||||
if os.path.exists(os.path.join("TEMP", "ja", "open_jtalk_dic")):
|
||||
shutil.rmtree(os.path.join("TEMP", "ja", "open_jtalk_dic"))
|
||||
shutil.copytree(
|
||||
pyopenjtalk.OPEN_JTALK_DICT_DIR.decode("utf-8"),
|
||||
os.path.join("TEMP", "ja", "open_jtalk_dic"),
|
||||
)
|
||||
OPEN_JTALK_DICT_DIR = os.path.join("TEMP", "ja", "open_jtalk_dic")
|
||||
pyopenjtalk.OPEN_JTALK_DICT_DIR = OPEN_JTALK_DICT_DIR.encode("utf-8")
|
||||
|
||||
if not (re.match(r"^[A-Za-z0-9_/\\:.\-]*$", current_file_path)):
|
||||
if current_file_path[: len(python_dir)].upper() == python_dir.upper():
|
||||
current_file_path = os.path.join(os.path.relpath(current_file_path, python_dir))
|
||||
else:
|
||||
if not os.path.exists("TEMP"):
|
||||
os.mkdir("TEMP")
|
||||
if not os.path.exists(os.path.join("TEMP", "ja")):
|
||||
os.mkdir(os.path.join("TEMP", "ja"))
|
||||
if not os.path.exists(os.path.join("TEMP", "ja", "ja_userdic")):
|
||||
os.mkdir(os.path.join("TEMP", "ja", "ja_userdic"))
|
||||
shutil.copyfile(
|
||||
os.path.join(current_file_path, "ja_userdic", "userdict.csv"),
|
||||
os.path.join("TEMP", "ja", "ja_userdic", "userdict.csv"),
|
||||
)
|
||||
current_file_path = os.path.join("TEMP", "ja")
|
||||
|
||||
def get_hash(fp: str) -> str:
|
||||
hash_md5 = hashlib.md5()
|
||||
with open(fp, "rb") as f:
|
||||
for chunk in iter(lambda: f.read(4096), b""):
|
||||
hash_md5.update(chunk)
|
||||
return hash_md5.hexdigest()
|
||||
|
||||
USERDIC_CSV_PATH = os.path.join(current_file_path, "ja_userdic", "userdict.csv")
|
||||
USERDIC_BIN_PATH = os.path.join(current_file_path, "ja_userdic", "user.dict")
|
||||
USERDIC_HASH_PATH = os.path.join(current_file_path, "ja_userdic", "userdict.md5")
|
||||
# 如果没有用户词典，就生成一个；如果有，就检查md5，如果不一样，就重新生成
|
||||
if os.path.exists(USERDIC_CSV_PATH):
|
||||
if (
|
||||
not os.path.exists(USERDIC_BIN_PATH)
|
||||
or get_hash(USERDIC_CSV_PATH) != open(USERDIC_HASH_PATH, "r", encoding="utf-8").read()
|
||||
):
|
||||
pyopenjtalk.mecab_dict_index(USERDIC_CSV_PATH, USERDIC_BIN_PATH)
|
||||
with open(USERDIC_HASH_PATH, "w", encoding="utf-8") as f:
|
||||
f.write(get_hash(USERDIC_CSV_PATH))
|
||||
|
||||
if os.path.exists(USERDIC_BIN_PATH):
|
||||
pyopenjtalk.update_global_jtalk_with_user_dict(USERDIC_BIN_PATH)
|
||||
except Exception:
|
||||
# print(e)
|
||||
import pyopenjtalk
|
||||
|
||||
# failed to load user dictionary, ignore.
|
||||
pass
|
||||
|
||||
|
||||
from text.symbols import punctuation
|
||||
|
||||
# Regular expression matching Japanese without punctuation marks:
|
||||
_japanese_characters = re.compile(
|
||||
r"[A-Za-z\d\u3005\u3040-\u30ff\u4e00-\u9fff\uff11-\uff19\uff21-\uff3a\uff41-\uff5a\uff66-\uff9d]"
|
||||
)
|
||||
|
||||
# Regular expression matching non-Japanese characters or punctuation marks:
|
||||
_japanese_marks = re.compile(
|
||||
r"[^A-Za-z\d\u3005\u3040-\u30ff\u4e00-\u9fff\uff11-\uff19\uff21-\uff3a\uff41-\uff5a\uff66-\uff9d]"
|
||||
)
|
||||
|
||||
# List of (symbol, Japanese) pairs for marks:
|
||||
_symbols_to_japanese = [(re.compile("%s" % x[0]), x[1]) for x in [("％", "パーセント")]]
|
||||
|
||||
|
||||
# List of (consonant, sokuon) pairs:
|
||||
_real_sokuon = [
|
||||
(re.compile("%s" % x[0]), x[1])
|
||||
for x in [
|
||||
(r"Q([↑↓]*[kg])", r"k#\1"),
|
||||
(r"Q([↑↓]*[tdjʧ])", r"t#\1"),
|
||||
(r"Q([↑↓]*[sʃ])", r"s\1"),
|
||||
(r"Q([↑↓]*[pb])", r"p#\1"),
|
||||
]
|
||||
]
|
||||
|
||||
# List of (consonant, hatsuon) pairs:
|
||||
_real_hatsuon = [
|
||||
(re.compile("%s" % x[0]), x[1])
|
||||
for x in [
|
||||
(r"N([↑↓]*[pbm])", r"m\1"),
|
||||
(r"N([↑↓]*[ʧʥj])", r"n^\1"),
|
||||
(r"N([↑↓]*[tdn])", r"n\1"),
|
||||
(r"N([↑↓]*[kg])", r"ŋ\1"),
|
||||
]
|
||||
]
|
||||
|
||||
|
||||
def post_replace_ph(ph):
|
||||
rep_map = {
|
||||
"：": ",",
|
||||
"；": ",",
|
||||
"，": ",",
|
||||
"。": ".",
|
||||
"！": "!",
|
||||
"？": "?",
|
||||
"\n": ".",
|
||||
"·": ",",
|
||||
"、": ",",
|
||||
"...": "…",
|
||||
}
|
||||
|
||||
if ph in rep_map.keys():
|
||||
ph = rep_map[ph]
|
||||
return ph
|
||||
|
||||
|
||||
def replace_consecutive_punctuation(text):
|
||||
punctuations = "".join(re.escape(p) for p in punctuation)
|
||||
pattern = f"([{punctuations}])([{punctuations}])+"
|
||||
result = re.sub(pattern, r"\1", text)
|
||||
return result
|
||||
|
||||
|
||||
def symbols_to_japanese(text):
|
||||
for regex, replacement in _symbols_to_japanese:
|
||||
text = re.sub(regex, replacement, text)
|
||||
return text
|
||||
|
||||
|
||||
def preprocess_jap(text, with_prosody=False):
|
||||
"""Reference https://r9y9.github.io/ttslearn/latest/notebooks/ch10_Recipe-Tacotron.html"""
|
||||
text = symbols_to_japanese(text)
|
||||
# English words to lower case, should have no influence on japanese words.
|
||||
text = text.lower()
|
||||
sentences = re.split(_japanese_marks, text)
|
||||
marks = re.findall(_japanese_marks, text)
|
||||
text = []
|
||||
for i, sentence in enumerate(sentences):
|
||||
if re.match(_japanese_characters, sentence):
|
||||
if with_prosody:
|
||||
text += pyopenjtalk_g2p_prosody(sentence)[1:-1]
|
||||
else:
|
||||
p = pyopenjtalk.g2p(sentence)
|
||||
text += p.split(" ")
|
||||
|
||||
if i < len(marks):
|
||||
if marks[i] == " ": # 防止意外的UNK
|
||||
continue
|
||||
text += [marks[i].replace(" ", "")]
|
||||
return text
|
||||
|
||||
|
||||
def text_normalize(text):
|
||||
# todo: jap text normalize
|
||||
|
||||
# 避免重复标点引起的参考泄露
|
||||
text = replace_consecutive_punctuation(text)
|
||||
return text
|
||||
|
||||
|
||||
# Copied from espnet https://github.com/espnet/espnet/blob/master/espnet2/text/phoneme_tokenizer.py
|
||||
def pyopenjtalk_g2p_prosody(text, drop_unvoiced_vowels=True):
|
||||
"""Extract phoneme + prosoody symbol sequence from input full-context labels.
|
||||
|
||||
The algorithm is based on `Prosodic features control by symbols as input of
|
||||
sequence-to-sequence acoustic modeling for neural TTS`_ with some r9y9's tweaks.
|
||||
|
||||
Args:
|
||||
text (str): Input text.
|
||||
drop_unvoiced_vowels (bool): whether to drop unvoiced vowels.
|
||||
|
||||
Returns:
|
||||
List[str]: List of phoneme + prosody symbols.
|
||||
|
||||
Examples:
|
||||
>>> from espnet2.text.phoneme_tokenizer import pyopenjtalk_g2p_prosody
|
||||
>>> pyopenjtalk_g2p_prosody("こんにちは。")
|
||||
['^', 'k', 'o', '[', 'N', 'n', 'i', 'ch', 'i', 'w', 'a', '$']
|
||||
|
||||
.. _`Prosodic features control by symbols as input of sequence-to-sequence acoustic
|
||||
modeling for neural TTS`: https://doi.org/10.1587/transinf.2020EDP7104
|
||||
|
||||
"""
|
||||
labels = pyopenjtalk.make_label(pyopenjtalk.run_frontend(text))
|
||||
N = len(labels)
|
||||
|
||||
phones = []
|
||||
for n in range(N):
|
||||
lab_curr = labels[n]
|
||||
|
||||
# current phoneme
|
||||
p3 = re.search(r"\-(.*?)\+", lab_curr).group(1)
|
||||
# deal unvoiced vowels as normal vowels
|
||||
if drop_unvoiced_vowels and p3 in "AEIOU":
|
||||
p3 = p3.lower()
|
||||
|
||||
# deal with sil at the beginning and the end of text
|
||||
if p3 == "sil":
|
||||
assert n == 0 or n == N - 1
|
||||
if n == 0:
|
||||
phones.append("^")
|
||||
elif n == N - 1:
|
||||
# check question form or not
|
||||
e3 = _numeric_feature_by_regex(r"!(\d+)_", lab_curr)
|
||||
if e3 == 0:
|
||||
phones.append("$")
|
||||
elif e3 == 1:
|
||||
phones.append("?")
|
||||
continue
|
||||
elif p3 == "pau":
|
||||
phones.append("_")
|
||||
continue
|
||||
else:
|
||||
phones.append(p3)
|
||||
|
||||
# accent type and position info (forward or backward)
|
||||
a1 = _numeric_feature_by_regex(r"/A:([0-9\-]+)\+", lab_curr)
|
||||
a2 = _numeric_feature_by_regex(r"\+(\d+)\+", lab_curr)
|
||||
a3 = _numeric_feature_by_regex(r"\+(\d+)/", lab_curr)
|
||||
|
||||
# number of mora in accent phrase
|
||||
f1 = _numeric_feature_by_regex(r"/F:(\d+)_", lab_curr)
|
||||
|
||||
a2_next = _numeric_feature_by_regex(r"\+(\d+)\+", labels[n + 1])
|
||||
# accent phrase border
|
||||
if a3 == 1 and a2_next == 1 and p3 in "aeiouAEIOUNcl":
|
||||
phones.append("#")
|
||||
# pitch falling
|
||||
elif a1 == 0 and a2_next == a2 + 1 and a2 != f1:
|
||||
phones.append("]")
|
||||
# pitch rising
|
||||
elif a2 == 1 and a2_next == 2:
|
||||
phones.append("[")
|
||||
|
||||
return phones
|
||||
|
||||
|
||||
# Copied from espnet https://github.com/espnet/espnet/blob/master/espnet2/text/phoneme_tokenizer.py
|
||||
def _numeric_feature_by_regex(regex, s):
|
||||
match = re.search(regex, s)
|
||||
if match is None:
|
||||
return -50
|
||||
return int(match.group(1))
|
||||
|
||||
|
||||
def g2p(norm_text, with_prosody=True):
|
||||
phones = preprocess_jap(norm_text, with_prosody)
|
||||
phones = [post_replace_ph(i) for i in phones]
|
||||
# todo: implement tones and word2ph
|
||||
return phones
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
phones = g2p("Hello.こんにちは！今日もNiCe天気ですね！tokyotowerに行きましょう！")
|
||||
print(phones)
|
||||
Reference in New Issue
Block a user