GPT-SoVITS-v2-ProPlus / TTS_infer_pack /text_segmentation_method.py
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import re
from typing import Callable
punctuation = set(["!", "?", "…", ",", ".", "-", " "])
METHODS = dict()
def get_method(name: str) -> Callable:
method = METHODS.get(name, None)
if method is None:
raise ValueError(f"Method {name} not found")
return method
def get_method_names() -> list:
return list(METHODS.keys())
def register_method(name):
def decorator(func):
METHODS[name] = func
return func
return decorator
splits = {
",",
"。",
"?",
"!",
",",
".",
"?",
"!",
"~",
":",
":",
"—",
"…",
}
def split_big_text(text, max_len=510):
# 定义全角和半角标点符号
punctuation = "".join(splits)
# 切割文本
segments = re.split("([" + punctuation + "])", text)
# 初始化结果列表和当前片段
result = []
current_segment = ""
for segment in segments:
# 如果当前片段加上新的片段长度超过max_len,就将当前片段加入结果列表,并重置当前片段
if len(current_segment + segment) > max_len:
result.append(current_segment)
current_segment = segment
else:
current_segment += segment
# 将最后一个片段加入结果列表
if current_segment:
result.append(current_segment)
return result
def split(todo_text):
todo_text = todo_text.replace("……", "。").replace("——", ",")
if todo_text[-1] not in splits:
todo_text += "。"
i_split_head = i_split_tail = 0
len_text = len(todo_text)
todo_texts = []
while 1:
if i_split_head >= len_text:
break # 结尾一定有标点,所以直接跳出即可,最后一段在上次已加入
if todo_text[i_split_head] in splits:
i_split_head += 1
todo_texts.append(todo_text[i_split_tail:i_split_head])
i_split_tail = i_split_head
else:
i_split_head += 1
return todo_texts
# 不切
@register_method("cut0")
def cut0(inp):
if not set(inp).issubset(punctuation):
return inp
else:
return "/n"
# 凑四句一切
@register_method("cut1")
def cut1(inp):
inp = inp.strip("\n")
inps = split(inp)
split_idx = list(range(0, len(inps), 4))
split_idx[-1] = None
if len(split_idx) > 1:
opts = []
for idx in range(len(split_idx) - 1):
opts.append("".join(inps[split_idx[idx] : split_idx[idx + 1]]))
else:
opts = [inp]
opts = [item for item in opts if not set(item).issubset(punctuation)]
return "\n".join(opts)
# 凑50字一切
@register_method("cut2")
def cut2(inp):
inp = inp.strip("\n")
inps = split(inp)
if len(inps) < 2:
return inp
opts = []
summ = 0
tmp_str = ""
for i in range(len(inps)):
summ += len(inps[i])
tmp_str += inps[i]
if summ > 50:
summ = 0
opts.append(tmp_str)
tmp_str = ""
if tmp_str != "":
opts.append(tmp_str)
# print(opts)
if len(opts) > 1 and len(opts[-1]) < 50: ##如果最后一个太短了,和前一个合一起
opts[-2] = opts[-2] + opts[-1]
opts = opts[:-1]
opts = [item for item in opts if not set(item).issubset(punctuation)]
return "\n".join(opts)
# 按中文句号。切
@register_method("cut3")
def cut3(inp):
inp = inp.strip("\n")
opts = ["%s" % item for item in inp.strip("。").split("。")]
opts = [item for item in opts if not set(item).issubset(punctuation)]
return "\n".join(opts)
# 按英文句号.切
@register_method("cut4")
def cut4(inp):
inp = inp.strip("\n")
opts = re.split(r"(?<!\d)\.(?!\d)", inp.strip("."))
opts = [item for item in opts if not set(item).issubset(punctuation)]
return "\n".join(opts)
# 按标点符号切
# contributed by https://github.com/AI-Hobbyist/GPT-SoVITS/blob/main/inference_webui.py
@register_method("cut5")
def cut5(inp):
inp = inp.strip("\n")
punds = {",", ".", ";", "?", "!", "、", ",", "。", "?", "!", ";", ":", "…"}
mergeitems = []
items = []
for i, char in enumerate(inp):
if char in punds:
if char == "." and i > 0 and i < len(inp) - 1 and inp[i - 1].isdigit() and inp[i + 1].isdigit():
items.append(char)
else:
items.append(char)
mergeitems.append("".join(items))
items = []
else:
items.append(char)
if items:
mergeitems.append("".join(items))
opt = [item for item in mergeitems if not set(item).issubset(punds)]
return "\n".join(opt)
if __name__ == "__main__":
method = get_method("cut5")
print(method("你好,我是小明。你好,我是小红。你好,我是小刚。你好,我是小张。"))