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import re
import os
import glob
import numpy as np
import soundfile as sf
import torchaudio
from txtsplit import txtsplit
def split_sentence(text, min_len=10, language_str='EN'):
if language_str in ['EN', 'FR', 'ES', 'SP', 'DE', 'RU']:
sentences = split_sentences_latin(text, min_len=min_len)
else:
sentences = split_sentences_zh(text, min_len=min_len)
return sentences
def split_sentences_latin(text, min_len=10):
text = re.sub('[。!?;]', '.', text)
text = re.sub('[,]', ',', text)
text = re.sub('[“”]', '"', text)
text = re.sub('[‘’]', "'", text)
text = re.sub(r"[\<\>\(\)\[\]\"\«\»]+", "", text)
return [item.strip() for item in txtsplit(text, 512, 512) if item.strip()]
# 将文本中的换行符、空格和制表符替换为空格
# text = re.sub('[\n\t ]+', ' ', text)
# # 在标点符号后添加一个空格
# text = re.sub('([,.!?;])', r'\1 $#!', text)
# # 分隔句子并去除前后空格
# sentences = [s.strip() for s in text.split('$#!')]
# if len(sentences[-1]) == 0: del sentences[-1]
# new_sentences = []
# new_sent = []
# count_len = 0
# for ind, sent in enumerate(sentences):
# # print(sent)
# new_sent.append(sent)
# count_len += len(sent.split(" "))
# if count_len > min_len or ind == len(sentences) - 1:
# count_len = 0
# new_sentences.append(' '.join(new_sent))
# new_sent = []
# return merge_short_sentences_en(new_sentences)
def split_sentences_zh(text, min_len=10):
text = re.sub('[。!?;]', '.', text)
text = re.sub('[,]', ',', text)
# 将文本中的换行符、空格和制表符替换为空格
text = re.sub('[\n\t ]+', ' ', text)
# 在标点符号后添加一个空格
text = re.sub('([,.!?;])', r'\1 $#!', text)
# 分隔句子并去除前后空格
# sentences = [s.strip() for s in re.split('(。|!|?|;)', text)]
sentences = [s.strip() for s in text.split('$#!')]
if len(sentences[-1]) == 0: del sentences[-1]
new_sentences = []
new_sent = []
count_len = 0
for ind, sent in enumerate(sentences):
new_sent.append(sent)
count_len += len(sent)
if count_len > min_len or ind == len(sentences) - 1:
count_len = 0
new_sentences.append(' '.join(new_sent))
new_sent = []
return merge_short_sentences_zh(new_sentences)
def merge_short_sentences_en(sens):
"""Avoid short sentences by merging them with the following sentence.
Args:
List[str]: list of input sentences.
Returns:
List[str]: list of output sentences.
"""
sens_out = []
for s in sens:
# If the previous sentense is too short, merge them with
# the current sentence.
if len(sens_out) > 0 and len(sens_out[-1].split(" ")) <= 2:
sens_out[-1] = sens_out[-1] + " " + s
else:
sens_out.append(s)
try:
if len(sens_out[-1].split(" ")) <= 2:
sens_out[-2] = sens_out[-2] + " " + sens_out[-1]
sens_out.pop(-1)
except:
pass
return sens_out
def merge_short_sentences_zh(sens):
# return sens
"""Avoid short sentences by merging them with the following sentence.
Args:
List[str]: list of input sentences.
Returns:
List[str]: list of output sentences.
"""
sens_out = []
for s in sens:
# If the previous sentense is too short, merge them with
# the current sentence.
if len(sens_out) > 0 and len(sens_out[-1]) <= 2:
sens_out[-1] = sens_out[-1] + " " + s
else:
sens_out.append(s)
try:
if len(sens_out[-1]) <= 2:
sens_out[-2] = sens_out[-2] + " " + sens_out[-1]
sens_out.pop(-1)
except:
pass
return sens_out
if __name__ == '__main__':
zh_text = "好的,我来给你讲一个故事吧。从前有一个小姑娘,她叫做小红。小红非常喜欢在森林里玩耍,她经常会和她的小伙伴们一起去探险。有一天,小红和她的小伙伴们走到了森林深处,突然遇到了一只凶猛的野兽。小红的小伙伴们都吓得不敢动弹,但是小红并没有被吓倒,她勇敢地走向野兽,用她的智慧和勇气成功地制服了野兽,保护了她的小伙伴们。从那以后,小红变得更加勇敢和自信,成为了她小伙伴们心中的英雄。"
en_text = "I didn’t know what to do. I said please kill her because it would be better than being kidnapped,” Ben, whose surname CNN is not using for security concerns, said on Wednesday. “It’s a nightmare. I said ‘please kill her, don’t take her there.’"
sp_text = "¡Claro! ¿En qué tema te gustaría que te hable en español? Puedo proporcionarte información o conversar contigo sobre una amplia variedad de temas, desde cultura y comida hasta viajes y tecnología. ¿Tienes alguna preferencia en particular?"
fr_text = "Bien sûr ! En quelle matière voudriez-vous que je vous parle en français ? Je peux vous fournir des informations ou discuter avec vous sur une grande variété de sujets, que ce soit la culture, la nourriture, les voyages ou la technologie. Avez-vous une préférence particulière ?"
de_text = 'Es war das Wichtigste was wir sichern wollten da es keine Möglichkeit gab eine 20 Megatonnen- H- Bombe ab zu werfen von einem 30, C124.'
ru_text = 'Но он был во многом, как-бы, всё равно что сын плантатора, так как являлся сыном человека, у которого было в собственности много чего.'
print(split_sentence(zh_text, language_str='ZH'))
print(split_sentence(en_text, language_str='EN'))
print(split_sentence(sp_text, language_str='SP'))
print(split_sentence(fr_text, language_str='FR'))
print(split_sentence(de_text, language_str='DE'))
print(split_sentence(ru_text, language_str='RU')) |