add docstring for phonectic and vocab
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@ -39,6 +39,9 @@ class Phonetics(ABC):
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class English(Phonetics):
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""" Normalize the input text sequence and convert into pronunciation id sequence.
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"""
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def __init__(self):
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self.backend = G2p()
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self.phonemes = list(self.backend.phonemes)
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@ -46,6 +49,18 @@ class English(Phonetics):
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self.vocab = Vocab(self.phonemes + self.punctuations)
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def phoneticize(self, sentence):
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""" Normalize the input text sequence and convert it into pronunciation sequence.
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Parameters
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-----------
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sentence: str
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The input text sequence.
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Returns
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----------
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List[str]
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The list of pronunciation sequence.
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"""
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start = self.vocab.start_symbol
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end = self.vocab.end_symbol
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phonemes = ([] if start is None else [start]) \
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@ -54,6 +69,18 @@ class English(Phonetics):
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return phonemes
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def numericalize(self, phonemes):
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""" Convert pronunciation sequence into pronunciation id sequence.
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Parameters
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-----------
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phonemes: List[str]
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The list of pronunciation sequence.
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Returns
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----------
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List[int]
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The list of pronunciation id sequence.
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"""
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ids = [
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self.vocab.lookup(item) for item in phonemes
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if item in self.vocab.stoi
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@ -61,17 +88,46 @@ class English(Phonetics):
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return ids
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def reverse(self, ids):
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""" Reverse the list of pronunciation id sequence to a list of pronunciation sequence.
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Parameters
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-----------
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ids: List[int]
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The list of pronunciation id sequence.
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Returns
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----------
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List[str]
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The list of pronunciation sequence.
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"""
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return [self.vocab.reverse(i) for i in ids]
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def __call__(self, sentence):
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""" Convert the input text sequence into pronunciation id sequence.
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Parameters
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-----------
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sentence: str
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The input text sequence.
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Returns
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----------
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List[str]
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The list of pronunciation id sequence.
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"""
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return self.numericalize(self.phoneticize(sentence))
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@property
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def vocab_size(self):
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""" Vocab size.
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"""
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return len(self.vocab)
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class EnglishCharacter(Phonetics):
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""" Normalize the input text sequence and convert it into character id sequence.
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"""
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def __init__(self):
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self.backend = G2p()
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self.graphemes = list(self.backend.graphemes)
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@ -79,10 +135,34 @@ class EnglishCharacter(Phonetics):
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self.vocab = Vocab(self.graphemes + self.punctuations)
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def phoneticize(self, sentence):
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""" Normalize the input text sequence.
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Parameters
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-----------
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sentence: str
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The input text sequence.
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Returns
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----------
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str
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A text sequence after normalize.
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"""
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words = normalize(sentence)
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return words
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def numericalize(self, sentence):
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""" Convert a text sequence into ids.
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Parameters
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-----------
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sentence: str
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The input text sequence.
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Returns
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----------
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List[int]
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List of a character id sequence.
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"""
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ids = [
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self.vocab.lookup(item) for item in sentence
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if item in self.vocab.stoi
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@ -90,17 +170,46 @@ class EnglishCharacter(Phonetics):
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return ids
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def reverse(self, ids):
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""" Convert a character id sequence into text.
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Parameters
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-----------
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ids: List[int]
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List of a character id sequence.
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Returns
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----------
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str
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The input text sequence.
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"""
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return [self.vocab.reverse(i) for i in ids]
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def __call__(self, sentence):
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""" Normalize the input text sequence and convert it into character id sequence.
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Parameters
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-----------
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sentence: str
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The input text sequence.
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Returns
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----------
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List[int]
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List of a character id sequence.
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"""
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return self.numericalize(self.phoneticize(sentence))
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@property
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def vocab_size(self):
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""" Vocab size.
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"""
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return len(self.vocab)
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class Chinese(Phonetics):
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"""Normalize Chinese text sequence and convert it into ids.
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"""
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def __init__(self):
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self.opencc_backend = OpenCC('t2s.json')
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self.backend = G2pM()
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@ -115,6 +224,18 @@ class Chinese(Phonetics):
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return list(all_syllables)
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def phoneticize(self, sentence):
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""" Normalize the input text sequence and convert it into pronunciation sequence.
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Parameters
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-----------
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sentence: str
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The input text sequence.
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Returns
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----------
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List[str]
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The list of pronunciation sequence.
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"""
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simplified = self.opencc_backend.convert(sentence)
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phonemes = self.backend(simplified)
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start = self.vocab.start_symbol
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@ -136,15 +257,53 @@ class Chinese(Phonetics):
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return cleaned_phonemes
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def numericalize(self, phonemes):
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""" Convert pronunciation sequence into pronunciation id sequence.
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Parameters
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-----------
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phonemes: List[str]
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The list of pronunciation sequence.
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Returns
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----------
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List[int]
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The list of pronunciation id sequence.
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"""
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ids = [self.vocab.lookup(item) for item in phonemes]
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return ids
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def __call__(self, sentence):
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""" Convert the input text sequence into pronunciation id sequence.
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Parameters
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-----------
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sentence: str
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The input text sequence.
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Returns
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----------
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List[str]
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The list of pronunciation id sequence.
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"""
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return self.numericalize(self.phoneticize(sentence))
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@property
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def vocab_size(self):
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""" Vocab size.
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"""
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return len(self.vocab)
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def reverse(self, ids):
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""" Reverse the list of pronunciation id sequence to a list of pronunciation sequence.
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Parameters
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-----------
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ids: List[int]
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The list of pronunciation id sequence.
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Returns
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----------
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List[str]
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The list of pronunciation sequence.
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"""
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return [self.vocab.reverse(i) for i in ids]
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@ -1,13 +1,46 @@
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from typing import Dict, Iterable, List
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from ruamel import yaml
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from collections import OrderedDict
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# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from typing import Dict, Iterable, List
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from collections import OrderedDict
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__all__ = ["Vocab"]
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class Vocab(object):
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def __init__(self, symbols: Iterable[str],
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""" Vocabulary.
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Parameters
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-----------
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symbols: Iterable[str]
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Common symbols.
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padding_symbol: str, optional
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Symbol for pad. Defaults to "<pad>".
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unk_symbol: str, optional
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Symbol for unknow. Defaults to "<unk>"
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start_symbol: str, optional
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Symbol for start. Defaults to "<s>"
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end_symbol: str, optional
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Symbol for end. Defaults to "</s>"
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"""
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def __init__(self,
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symbols: Iterable[str],
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padding_symbol="<pad>",
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unk_symbol="<unk>",
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start_symbol="<s>",
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@ -23,7 +56,6 @@ class Vocab(object):
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self.start_symbol = start_symbol
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self.end_symbol = end_symbol
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self.stoi = OrderedDict()
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self.stoi.update(self.special_symbols)
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@ -37,23 +69,33 @@ class Vocab(object):
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@property
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def num_specials(self):
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""" The number of special symbols.
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"""
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return len(self.special_symbols)
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# special tokens
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@property
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def padding_index(self):
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""" The index of padding symbol
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"""
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return self.stoi.get(self.padding_symbol, -1)
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@property
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def unk_index(self):
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"""The index of unknow symbol.
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"""
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return self.stoi.get(self.unk_symbol, -1)
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@property
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def start_index(self):
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"""The index of start symbol.
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"""
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return self.stoi.get(self.start_symbol, -1)
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@property
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def end_index(self):
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""" The index of end symbol.
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"""
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return self.stoi.get(self.end_symbol, -1)
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def __repr__(self):
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@ -64,12 +106,18 @@ class Vocab(object):
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return self.__repr__()
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def lookup(self, symbol):
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""" The index that symbol correspond.
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"""
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return self.stoi[symbol]
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def reverse(self, index):
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""" The symbol thar index cottespond.
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"""
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return self.itos[index]
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def add_symbol(self, symbol):
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""" Add a new symbol in vocab.
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"""
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if symbol in self.stoi:
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return
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N = len(self.stoi)
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@ -77,6 +125,7 @@ class Vocab(object):
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self.itos[N] = symbol
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def add_symbols(self, symbols):
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""" Add multiple symbols in vocab.
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"""
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for symbol in symbols:
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self.add_symbol(symbol)
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