coqui-tts/TTS/tts/utils/text/number_norm.py

100 lines
2.9 KiB
Python

""" from https://github.com/keithito/tacotron """
import inflect
import re
from typing import Dict
_inflect = inflect.engine()
_comma_number_re = re.compile(r'([0-9][0-9\,]+[0-9])')
_decimal_number_re = re.compile(r'([0-9]+\.[0-9]+)')
_currency_re = re.compile(r'(£|\$|¥)([0-9\,\.]*[0-9]+)')
_ordinal_re = re.compile(r'[0-9]+(st|nd|rd|th)')
_number_re = re.compile(r'[0-9]+')
def _remove_commas(m):
return m.group(1).replace(',', '')
def _expand_decimal_point(m):
return m.group(1).replace('.', ' point ')
def __expand_currency(value: str, inflection: Dict[float, str]) -> str:
parts = value.replace(",", "").split('.')
if len(parts) > 2:
return f"{value} {inflection[2]}" # Unexpected format
text = []
integer = int(parts[0]) if parts[0] else 0
if integer > 0:
integer_unit = inflection.get(integer, inflection[2])
text.append(f"{integer} {integer_unit}")
fraction = int(parts[1]) if len(parts) > 1 and parts[1] else 0
if fraction > 0:
fraction_unit = inflection.get(fraction/100, inflection[0.02])
text.append(f"{fraction} {fraction_unit}")
if len(text) == 0:
return f"zero {inflection[2]}"
return " ".join(text)
def _expand_currency(m: "re.Match") -> str:
currencies = {
"$": {
0.01: "cent",
0.02: "cents",
1: "dollar",
2: "dollars",
},
"": {
0.01: "cent",
0.02: "cents",
1: "euro",
2: "euros",
},
"£": {
0.01: "penny",
0.02: "pence",
1: "pound sterling",
2: "pounds sterling",
},
"¥": {
# TODO rin
0.02: "sen",
2: "yen",
}
}
unit = m.group(1)
currency = currencies[unit]
value = m.group(2)
return __expand_currency(value, currency)
def _expand_ordinal(m):
return _inflect.number_to_words(m.group(0))
def _expand_number(m):
num = int(m.group(0))
if 1000 < num < 3000:
if num == 2000:
return 'two thousand'
if 2000 < num < 2010:
return 'two thousand ' + _inflect.number_to_words(num % 100)
if num % 100 == 0:
return _inflect.number_to_words(num // 100) + ' hundred'
return _inflect.number_to_words(num,
andword='',
zero='oh',
group=2).replace(', ', ' ')
return _inflect.number_to_words(num, andword='')
def normalize_numbers(text):
text = re.sub(_comma_number_re, _remove_commas, text)
text = re.sub(_currency_re, _expand_currency, text)
text = re.sub(_decimal_number_re, _expand_decimal_point, text)
text = re.sub(_ordinal_re, _expand_ordinal, text)
text = re.sub(_number_re, _expand_number, text)
return text