handling dates better with the text cleaner

pull/10/head
erogol 2020-06-23 13:29:55 +02:00
parent 1324117703
commit ccba431cda
5 changed files with 49 additions and 108 deletions

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@ -44,9 +44,6 @@ class Tacotron2(TacotronAbstract):
proj_speaker_dim = 80 if num_speakers > 1 else 0
# base layers
self.embedding = nn.Embedding(num_chars, 512, padding_idx=0)
std = sqrt(2.0 / (num_chars + 512))
val = sqrt(3.0) * std # uniform bounds for std
self.embedding.weight.data.uniform_(-val, val)
if num_speakers > 1:
self.speaker_embedding = nn.Embedding(num_speakers, 512)
self.speaker_embedding.weight.data.normal_(0, 0.3)

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@ -77,7 +77,6 @@ def phoneme_to_sequence(text, cleaner_names, language, enable_eos_bos=False, tp=
_phonemes_to_id = {s: i for i, s in enumerate(_phonemes)}
sequence = []
text = text.replace(":", "")
clean_text = _clean_text(text, cleaner_names)
to_phonemes = text2phone(clean_text, language)
if to_phonemes is None:

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@ -71,7 +71,7 @@ def remove_aux_symbols(text):
def replace_symbols(text):
text = text.replace(';', ',')
text = text.replace('-', ' ')
text = text.replace(':', ' ')
text = text.replace(':', ',')
text = text.replace('&', 'and')
return text

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@ -1,127 +1,72 @@
# -*- coding: utf-8 -*-
""" from https://github.com/keithito/tacotron """
import inflect
import re
_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]+)')
_pounds_re = re.compile(r'£([0-9\,]*[0-9]+)')
_dollars_re = re.compile(r'\$([0-9\.\,]*[0-9]+)')
_ordinal_re = re.compile(r'([0-9]+)(st|nd|rd|th)')
_ordinal_re = re.compile(r'[0-9]+(st|nd|rd|th)')
_number_re = re.compile(r'[0-9]+')
_units = [
'', 'one', 'two', 'three', 'four', 'five', 'six', 'seven', 'eight', 'nine',
'ten', 'eleven', 'twelve', 'thirteen', 'fourteen', 'fifteen', 'sixteen',
'seventeen', 'eighteen', 'nineteen'
]
_tens = [
'',
'ten',
'twenty',
'thirty',
'forty',
'fifty',
'sixty',
'seventy',
'eighty',
'ninety',
]
_digit_groups = [
'',
'thousand',
'million',
'billion',
'trillion',
'quadrillion',
]
_ordinal_suffixes = [
('one', 'first'),
('two', 'second'),
('three', 'third'),
('five', 'fifth'),
('eight', 'eighth'),
('nine', 'ninth'),
('twelve', 'twelfth'),
('ty', 'tieth'),
]
def _remove_commas(m):
return m.group(1).replace(',', '')
return m.group(1).replace(',', '')
def _expand_decimal_point(m):
return m.group(1).replace('.', ' point ')
return m.group(1).replace('.', ' point ')
def _expand_dollars(m):
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]) 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, %s %s' % (dollars, dollar_unit, cents, cent_unit)
if dollars:
dollar_unit = 'dollar' if dollars == 1 else 'dollars'
return '%s %s' % (dollars, dollar_unit)
if cents:
cent_unit = 'cent' if cents == 1 else 'cents'
return '%s %s' % (cents, cent_unit)
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]) 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, %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'
def _standard_number_to_words(n, digit_group):
parts = []
if n >= 1000:
# Format next higher digit group.
parts.append(_standard_number_to_words(n // 1000, digit_group + 1))
n = n % 1000
if n >= 100:
parts.append('%s hundred' % _units[n // 100])
if n % 100 >= len(_units):
parts.append(_tens[(n % 100) // 10])
parts.append(_units[(n % 100) % 10])
else:
parts.append(_units[n % 100])
if n > 0:
parts.append(_digit_groups[digit_group])
return ' '.join([x for x in parts if x])
def _number_to_words(n):
# Handle special cases first, then go to the standard case:
if n >= 1000000000000000000:
return str(n) # Too large, just return the digits
if n == 0:
return 'zero'
if n % 100 == 0 and n % 1000 != 0 and n < 3000:
return _standard_number_to_words(n // 100, 0) + ' hundred'
return _standard_number_to_words(n, 0)
def _expand_ordinal(m):
return _inflect.number_to_words(m.group(0))
def _expand_number(m):
return _number_to_words(int(m.group(0)))
def _expand_ordinal(m):
num = _number_to_words(int(m.group(1)))
for suffix, replacement in _ordinal_suffixes:
if num.endswith(suffix):
return num[:-len(suffix)] + replacement
return num + 'th'
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):
text = re.sub(_comma_number_re, _remove_commas, text)
text = re.sub(_pounds_re, r'\1 pounds', text)
text = re.sub(_dollars_re, _expand_dollars, 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
text = re.sub(_comma_number_re, _remove_commas, text)
text = re.sub(_pounds_re, r'\1 pounds', text)
text = re.sub(_dollars_re, _expand_dollars, 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

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@ -23,4 +23,4 @@ def test_melgan_multi_scale_discriminator():
assert np.all(scores[0].shape == (4, 1, 64))
assert np.all(feats[0][0].shape == (4, 16, 4096))
assert np.all(feats[0][1].shape == (4, 64, 1024))
assert np.all(feats[0][2].shape == (4, 256, 256))
assert np.all(feats[0][2].shape == (4, 256, 256))