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PaddleSpeech/third_party/python-pinyin/pypinyin/contrib/neutral_tone.py

69 lines
2.3 KiB

E2E/Streaming Transformer/Conformer ASR (#578) * add cmvn and label smoothing loss layer * add layer for transformer * add glu and conformer conv * add torch compatiable hack, mask funcs * not hack size since it exists * add test; attention * add attention, common utils, hack paddle * add audio utils * conformer batch padding mask bug fix #223 * fix typo, python infer fix rnn mem opt name error and batchnorm1d, will be available at 2.0.2 * fix ci * fix ci * add encoder * refactor egs * add decoder * refactor ctc, add ctc align, refactor ckpt, add warmup lr scheduler, cmvn utils * refactor docs * add fix * fix readme * fix bugs, refactor collator, add pad_sequence, fix ckpt bugs * fix docstring * refactor data feed order * add u2 model * refactor cmvn, test * add utils * add u2 config * fix bugs * fix bugs * fix autograd maybe has problem when using inplace operation * refactor data, build vocab; add format data * fix text featurizer * refactor build vocab * add fbank, refactor feature of speech * refactor audio feat * refactor data preprare * refactor data * model init from config * add u2 bins * flake8 * can train * fix bugs, add coverage, add scripts * test can run * fix data * speed perturb with sox * add spec aug * fix for train * fix train logitc * fix logger * log valid loss, time dataset process * using np for speed perturb, remove some debug log of grad clip * fix logger * fix build vocab * fix logger name * using module logger as default * fix * fix install * reorder imports * fix board logger * fix logger * kaldi fbank and mfcc * fix cmvn and print prarams * fix add_eos_sos and cmvn * fix cmvn compute * fix logger and cmvn * fix subsampling, label smoothing loss, remove useless * add notebook test * fix log * fix tb logger * multi gpu valid * fix log * fix log * fix config * fix compute cmvn, need paddle 2.1 * add cmvn notebook * fix layer tools * fix compute cmvn * add rtf * fix decoding * fix layer tools * fix log, add avg script * more avg and test info * fix dataset pickle problem; using 2.1 paddle; num_workers can > 0; ckpt save in exp dir;fix setup.sh; * add vimrc * refactor tiny script, add transformer and stream conf * spm demo; librisppech scripts and confs * fix log * add librispeech scripts * refactor data pipe; fix conf; fix u2 default params * fix bugs * refactor aishell scripts * fix test * fix cmvn * fix s0 scripts * fix ds2 scripts and bugs * fix dev & test dataset filter * fix dataset filter * filter dev * fix ckpt path * filter test, since librispeech will cause OOM, but all test wer will be worse, since mismatch train with test * add comment * add syllable doc * fix ds2 configs * add doc * add pypinyin tools * fix decoder using blank_id=0 * mmseg with pybind11 * format code
4 years ago
import re
from typing import Any
from typing import Optional
from typing import Text
from typing import Tuple
from pypinyin import Style
from pypinyin.contrib._tone_rule import right_mark_index
_re_number = re.compile(r'\d')
class NeutralToneWith5Mixin():
"""声调使用数字表示的相关拼音风格下的结果使用 5 标识轻声。
使用方法::
from pypinyin import lazy_pinyin, Style
from pypinyin.contrib.neutral_tone import NeutralToneWith5Mixin
from pypinyin.converter import DefaultConverter
from pypinyin.core import Pinyin
# 原来的结果中不会标识轻声
print(lazy_pinyin('好了', style=Style.TONE2))
# 输出: ['ha3o', 'le']
class MyConverter(NeutralToneWith5Mixin, DefaultConverter):
pass
my_pinyin = Pinyin(MyConverter())
pinyin = my_pinyin.pinyin
lazy_pinyin = my_pinyin.lazy_pinyin
# 新的结果中使用 ``5`` 标识轻声
print(lazy_pinyin('好了', style=Style.TONE2))
# 输出: ['ha3o', 'le5']
print(pinyin('好了', style=Style.TONE2))
# 输出:[['ha3o'], ['le5']]
"""
NUMBER_TONE = (Style.TONE2, Style.TONE3, Style.FINALS_TONE2,
Style.FINALS_TONE3) # type: Tuple[Style]
NUMBER_AT_END = (Style.TONE3, Style.FINALS_TONE3) # type: Tuple[Style]
def post_convert_style(self,
han: Text,
orig_pinyin: Text,
converted_pinyin: Text,
style: Style,
strict: bool,
**kwargs: Any) -> Optional[Text]:
pre_data = super().post_convert_style(
han, orig_pinyin, converted_pinyin, style, strict, **kwargs)
if style not in self.NUMBER_TONE:
return pre_data
if pre_data is not None:
converted_pinyin = pre_data
# 有声调,跳过
if _re_number.search(converted_pinyin):
return converted_pinyin
if style in self.NUMBER_AT_END:
return '{}5'.format(converted_pinyin)
# 找到应该在哪个字母上标声调
mark_index = right_mark_index(converted_pinyin)
before = converted_pinyin[:mark_index + 1]
after = converted_pinyin[mark_index + 1:]
return '{}5{}'.format(before, after)