mirror of
https://github.com/RVC-Boss/GPT-SoVITS.git
synced 2025-10-06 06:29:59 +08:00
modified: GPT_SoVITS/TTS_infer_pack/TextPreprocessor.py
new file: GPT_SoVITS/text/en_normalization/expend.py modified: GPT_SoVITS/text/english.py
This commit is contained in:
Cosmo Clara
parent
787881a6ce
commit
d6222bc4d7
@ -119,6 +119,7 @@ class TextPreprocessor:
|
||||
def get_phones_and_bert(self, text:str, language:str, version:str, final:bool=False):
|
||||
if language in {"en", "all_zh", "all_ja", "all_ko", "all_yue"}:
|
||||
language = language.replace("all_","")
|
||||
# 去掉了不必要的过滤器
|
||||
formattext = text
|
||||
while " " in formattext:
|
||||
formattext = formattext.replace(" ", " ")
|
||||
|
||||
272
GPT_SoVITS/text/en_normalization/expend.py
Normal file
272
GPT_SoVITS/text/en_normalization/expend.py
Normal file
@ -0,0 +1,272 @@
|
||||
from __future__ import print_function
|
||||
|
||||
import re
|
||||
import inflect
|
||||
import unicodedata
|
||||
|
||||
# 后缀计量单位替换表
|
||||
measurement_map = {
|
||||
"m": ["meter", "meters"],
|
||||
'km': ["kilometer", "kilometers"],
|
||||
"km/h": ["kilometer per hour", "kilometers per hour"],
|
||||
"ft": ["feet", "feet"],
|
||||
"L": ["liter", "liters"],
|
||||
"tbsp": ["tablespoon", "tablespoons"],
|
||||
'tsp': ["teaspoon", "teaspoons"],
|
||||
"h": ["hour", "hours"],
|
||||
"min": ["minute", "minutes"],
|
||||
"s": ["second", "seconds"],
|
||||
"°C": ["degree celsius", "degrees celsius"],
|
||||
"°F": ["degree fahrenheit", "degrees fahrenheit"]
|
||||
}
|
||||
|
||||
|
||||
# 识别 12,000 类型
|
||||
_inflect = inflect.engine()
|
||||
|
||||
# 转化数字序数词
|
||||
_ordinal_number_re = re.compile(r'\b([0-9]+)\. ')
|
||||
|
||||
# 我听说好像对于数字正则识别其实用 \d 会好一点
|
||||
|
||||
_comma_number_re = re.compile(r'([0-9][0-9\,]+[0-9])')
|
||||
|
||||
# 时间识别
|
||||
_time_re = re.compile(r'\b([01]?[0-9]|2[0-3]):([0-5][0-9])\b')
|
||||
|
||||
# 后缀计量单位识别
|
||||
_measurement_re = re.compile(r'\b([0-9]+(\.[0-9]+)?(m|km|km/h|ft|L|tbsp|tsp|h|min|s|°C|°F))\b')
|
||||
|
||||
# 前后 £ 识别 ( 写了识别两边某一边的，但是不知道为什么失败了┭┮﹏┭┮ )
|
||||
_pounds_re_start = re.compile(r'£([0-9\.\,]*[0-9]+)')
|
||||
_pounds_re_end = re.compile(r'([0-9\.\,]*[0-9]+)£')
|
||||
|
||||
# 前后 $ 识别
|
||||
_dollars_re_start = re.compile(r'\$([0-9\.\,]*[0-9]+)')
|
||||
_dollars_re_end = re.compile(r'([(0-9\.\,]*[0-9]+)\$')
|
||||
|
||||
# 小数的识别
|
||||
_decimal_number_re = re.compile(r'([0-9]+\.\s*[0-9]+)')
|
||||
|
||||
# 分数识别 (形式 "3/4" )
|
||||
_fraction_re = re.compile(r'([0-9]+/[0-9]+)')
|
||||
|
||||
# 序数词识别
|
||||
_ordinal_re = re.compile(r'[0-9]+(st|nd|rd|th)')
|
||||
|
||||
# 数字处理
|
||||
_number_re = re.compile(r'[0-9]+')
|
||||
|
||||
def _convert_ordinal(m):
|
||||
"""
|
||||
标准化序数词, 例如: 1. 2. 3. 4. 5. 6.
|
||||
Examples:
|
||||
input: "1. "
|
||||
output: "1st"
|
||||
然后在后面的 _expand_ordinal, 将其转化为 first 这类的
|
||||
"""
|
||||
ordinal = _inflect.ordinal(m.group(1))
|
||||
return ordinal + ", "
|
||||
|
||||
def _remove_commas(m):
|
||||
return m.group(1).replace(',', '')
|
||||
|
||||
def _expand_time(m):
|
||||
"""
|
||||
将 24 小时制的时间转换为 12 小时制的时间表示方式。
|
||||
|
||||
Examples:
|
||||
input: "13:00 / 4:00 / 13:30"
|
||||
output: "one o'clock p.m. / four o'clock am. / one thirty p.m."
|
||||
"""
|
||||
hours, minutes = map(int, m.group(1, 2))
|
||||
period = 'a.m.' if hours < 12 else 'p.m.'
|
||||
if hours > 12:
|
||||
hours -= 12
|
||||
|
||||
hour_word = _inflect.number_to_words(hours)
|
||||
minute_word = _inflect.number_to_words(minutes) if minutes != 0 else ''
|
||||
|
||||
if minutes == 0:
|
||||
return f"{hour_word} o'clock {period}"
|
||||
else:
|
||||
return f"{hour_word} {minute_word} {period}"
|
||||
|
||||
|
||||
def _expand_measurement(m):
|
||||
"""
|
||||
处理一些常见的测量单位后缀, 目前支持: m, km, km/h, ft, L, tbsp, tsp, h, min, s, °C, °F
|
||||
如果要拓展的话修改: _measurement_re 和 measurement_map
|
||||
"""
|
||||
sign = m.group(3)
|
||||
ptr = 1
|
||||
# 想不到怎么方便的取数字，又懒得改正则，诶，1.2 反正也是复数读法，干脆直接去掉 "."
|
||||
num = int(m.group(1).replace(sign, '').replace(".",''))
|
||||
decimal_part = m.group(2)
|
||||
# 上面判断的漏洞，比如 0.1 的情况，在这里排除了
|
||||
if decimal_part == None and num == 1:
|
||||
ptr = 0
|
||||
return m.group(1).replace(sign, " " + measurement_map[sign][ptr])
|
||||
|
||||
|
||||
def _expand_pounds(m):
|
||||
"""
|
||||
没找到特别规范的说明，和美元的处理一样，其实可以把两个合并在一起
|
||||
"""
|
||||
match = m.group(1)
|
||||
parts = match.split('.')
|
||||
if len(parts) > 2:
|
||||
return match + ' pounds' # Unexpected format
|
||||
pounds = int(parts[0]) if parts[0] else 0
|
||||
pence = int(parts[1].ljust(2, '0')) if len(parts) > 1 and parts[1] else 0
|
||||
if pounds and pence:
|
||||
pound_unit = 'pound' if pounds == 1 else 'pounds'
|
||||
penny_unit = 'penny' if pence == 1 else 'pence'
|
||||
return '%s %s and %s %s' % (pounds, pound_unit, pence, penny_unit)
|
||||
elif pounds:
|
||||
pound_unit = 'pound' if pounds == 1 else 'pounds'
|
||||
return '%s %s' % (pounds, pound_unit)
|
||||
elif pence:
|
||||
penny_unit = 'penny' if pence == 1 else 'pence'
|
||||
return '%s %s' % (pence, penny_unit)
|
||||
else:
|
||||
return 'zero pounds'
|
||||
|
||||
def _expand_dollars(m):
|
||||
"""
|
||||
change: 美分是 100 的限值, 应该要做补零的吧
|
||||
Example:
|
||||
input: "32.3$ / $6.24"
|
||||
output: "thirty-two dollars and thirty cents" / "six dollars and twenty-four cents"
|
||||
"""
|
||||
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].ljust(2, '0')) 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 and %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'
|
||||
|
||||
# 小数的处理
|
||||
def _expand_decimal_number(m):
|
||||
"""
|
||||
Example:
|
||||
input: "13.234"
|
||||
output: "thirteen point two three four"
|
||||
"""
|
||||
match = m.group(1)
|
||||
parts = match.split('.')
|
||||
words = []
|
||||
# 遍历字符串中的每个字符
|
||||
for char in parts[1]:
|
||||
if char == '.':
|
||||
words.append("point")
|
||||
else:
|
||||
words.append(char)
|
||||
return parts[0] + " point " + " ".join(words)
|
||||
|
||||
|
||||
# 分数的处理
|
||||
def _expend_fraction(m):
|
||||
"""
|
||||
规则1: 分子使用基数词读法, 分母用序数词读法.
|
||||
规则2: 如果分子大于 1, 在读分母的时候使用序数词复数读法.
|
||||
规则3: 当分母为2的时候, 分母读做 half, 并且当分子大于 1 的时候, half 也要用复数读法, 读为 halves.
|
||||
|
||||
Examples:
|
||||
|
||||
| Written | Said |
|
||||
|:---:|:---:|
|
||||
| 1/3 | one third |
|
||||
| 3/4 | three fourths |
|
||||
| 5/6 | five sixths |
|
||||
| 1/2 | one half |
|
||||
| 3/2 | three halves |
|
||||
"""
|
||||
match = m.group(0)
|
||||
numerator, denominator = map(int, match.split('/'))
|
||||
|
||||
numerator_part = _inflect.number_to_words(numerator)
|
||||
if denominator == 2:
|
||||
if numerator == 1:
|
||||
denominator_part = 'half'
|
||||
else:
|
||||
denominator_part = 'halves'
|
||||
elif denominator == 1:
|
||||
return f'{numerator_part}'
|
||||
else:
|
||||
denominator_part = _inflect.ordinal(_inflect.number_to_words(denominator))
|
||||
if numerator > 1:
|
||||
denominator_part += 's'
|
||||
|
||||
return f'{numerator_part} {denominator_part}'
|
||||
|
||||
def _expand_ordinal(m):
|
||||
return _inflect.number_to_words(m.group(0))
|
||||
|
||||
def _expand_number(m):
|
||||
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)
|
||||
elif num % 100 == 0:
|
||||
return _inflect.number_to_words(num // 100) + ' hundred'
|
||||
else:
|
||||
return _inflect.number_to_words(num, andword='', zero='oh', group=2).replace(', ', ' ')
|
||||
else:
|
||||
return _inflect.number_to_words(num, andword='')
|
||||
|
||||
|
||||
def normalize_numbers(text):
|
||||
"""
|
||||
!!! 所有的处理都需要正确的输入 !!!
|
||||
可以添加新的处理，只需要添加正则表达式和对应的处理函数即可
|
||||
"""
|
||||
|
||||
text = re.sub(_ordinal_number_re, _convert_ordinal, text)
|
||||
text = re.sub(_comma_number_re, _remove_commas, text)
|
||||
text = re.sub(_time_re, _expand_time, text)
|
||||
text = re.sub(_measurement_re, _expand_measurement, text)
|
||||
text = re.sub(_pounds_re_start, _expand_pounds, text)
|
||||
text = re.sub(_pounds_re_end, _expand_pounds, text)
|
||||
text = re.sub(_dollars_re_start, _expand_dollars, text)
|
||||
text = re.sub(_dollars_re_end, _expand_dollars, text)
|
||||
text = re.sub(_decimal_number_re, _expand_decimal_number, text)
|
||||
text = re.sub(_fraction_re, _expend_fraction, text)
|
||||
text = re.sub(_ordinal_re, _expand_ordinal, text)
|
||||
text = re.sub(_number_re, _expand_number, text)
|
||||
|
||||
text = ''.join(char for char in unicodedata.normalize('NFD', text)
|
||||
if unicodedata.category(char) != 'Mn') # Strip accents
|
||||
|
||||
text = re.sub("-", "minus ", text)
|
||||
text = re.sub("%", " percent", text)
|
||||
text = re.sub("[^ A-Za-z'.,?!\-]", "", text)
|
||||
text = re.sub(r"(?i)i\.e\.", "that is", text)
|
||||
text = re.sub(r"(?i)e\.g\.", "for example", text)
|
||||
return text
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
# 我觉得其实可以把切分结果展示出来（只读，或者修改不影响传给TTS的实际text）
|
||||
# 然后让用户确认后再输入给 TTS，可以让用户检查自己有没有不标准的输入
|
||||
print(normalize_numbers("1. test ordinal number 1st"))
|
||||
print(normalize_numbers("32.3$, $6.24, 1.1£, £7.14."))
|
||||
print(normalize_numbers("3/23, 1/2, 3/2, 1/3, 6/1"))
|
||||
print(normalize_numbers("1st, 22nd"))
|
||||
print(normalize_numbers("a test 20h, 1.2s, 1L, 0.1km"))
|
||||
print(normalize_numbers("a test of time 4:00, 13:00, 13:30"))
|
||||
print(normalize_numbers("a test of temperature 4°F, 23°C, -19°C"))
|
||||
@ -8,9 +8,8 @@ from text.symbols import punctuation
|
||||
|
||||
from text.symbols2 import symbols
|
||||
|
||||
import unicodedata
|
||||
from builtins import str as unicode
|
||||
from g2p_en.expand import normalize_numbers
|
||||
from text.en_normalization.expend import normalize_numbers
|
||||
from nltk.tokenize import TweetTokenizer
|
||||
word_tokenize = TweetTokenizer().tokenize
|
||||
from nltk import pos_tag
|
||||
@ -23,21 +22,11 @@ CACHE_PATH = os.path.join(current_file_path, "engdict_cache.pickle")
|
||||
NAMECACHE_PATH = os.path.join(current_file_path, "namedict_cache.pickle")
|
||||
|
||||
rep_map = {
|
||||
"[;:：，；]": ",",
|
||||
'["’]': "'",
|
||||
"。": ".",
|
||||
"！": "!",
|
||||
"？": "?",
|
||||
}
|
||||
|
||||
ordinal_map = {
|
||||
"1. ": "First",
|
||||
"2. ": "Second",
|
||||
"3. ": "Third",
|
||||
"4. ": "Fourth",
|
||||
"5. ": "Fifth",
|
||||
"6. ": "Sixth",
|
||||
# 添加更多序数词映射
|
||||
"[;:：，；]": ",",
|
||||
'["’]': "'",
|
||||
"。": ".",
|
||||
"！": "!",
|
||||
"？": "?",
|
||||
}
|
||||
|
||||
arpa = {
|
||||
@ -235,34 +224,6 @@ def get_namedict():
|
||||
|
||||
return name_dict
|
||||
|
||||
|
||||
def text_normalize(text):
|
||||
# todo: eng text normalize
|
||||
# 适配中文及 g2p_en 标点
|
||||
|
||||
pattern = re.compile("|".join(re.escape(p) for p in rep_map.keys()))
|
||||
text = pattern.sub(lambda x: rep_map[x.group()], text)
|
||||
|
||||
# 来自 g2p_en 文本格式化处理
|
||||
# 增加大写兼容
|
||||
text = unicode(text)
|
||||
for key, value in ordinal_map.items():
|
||||
text = re.sub(rf"{re.escape(key)}\s?", value + ", ", text)
|
||||
|
||||
text = normalize_numbers(text)
|
||||
text = ''.join(char for char in unicodedata.normalize('NFD', text)
|
||||
if unicodedata.category(char) != 'Mn') # Strip accents
|
||||
text = re.sub("%", " percent", text) # 将 % 转化为 “percent”
|
||||
text = re.sub("[^ A-Za-z'.,?!\-]", "", text)
|
||||
text = re.sub(r"(?i)i\.e\.", "that is", text)
|
||||
text = re.sub(r"(?i)e\.g\.", "for example", text)
|
||||
|
||||
# 避免重复标点引起的参考泄露
|
||||
text = replace_consecutive_punctuation(text)
|
||||
|
||||
return text
|
||||
|
||||
|
||||
class en_G2p(G2p):
|
||||
def __init__(self):
|
||||
super().__init__()
|
||||
@ -383,6 +344,18 @@ def g2p(text):
|
||||
|
||||
return replace_phs(phones)
|
||||
|
||||
def text_normalize(text):
|
||||
# 效果相同，和 chinese.py 保持一致
|
||||
pattern = re.compile("|".join(re.escape(p) for p in rep_map.keys()))
|
||||
text = pattern.sub(lambda x: rep_map[x.group()], text)
|
||||
|
||||
text = unicode(text)
|
||||
text = normalize_numbers(text)
|
||||
|
||||
# 避免重复标点引起的参考泄露
|
||||
text = replace_consecutive_punctuation(text)
|
||||
return text
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
print(g2p("hello"))
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user