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# by https://github.com/Cosmo-klara
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(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(r"(?<!\d)-|-(?!\d)", " minus ", 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("%", " 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)
# 增加纯大写单词拆分
text = re.sub(r"(?<!^)(?<![\s])([A-Z])", r" \1", 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("1. test ordinal number 1st"))
print(normalize("32.3$, $6.24, 1.1£, £7.14."))
print(normalize("3/23, 1/2, 3/2, 1/3, 6/1"))
print(normalize("1st, 22nd"))
print(normalize("a test 20h, 1.2s, 1L, 0.1km"))
print(normalize("a test of time 4:00, 13:00, 13:30"))
print(normalize("a test of temperature 4°F, 23°C, -19°C"))