add 2 frontend
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iclementine
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from parakeet.frontend.phonectic import Phonetics
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"""
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A phonology system with ARPABET symbols and limited punctuations. The G2P
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conversion is done by g2p_en.
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Note that g2p_en does not handle words with hypen well. So make sure the input
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sentence is first normalized.
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"""
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from parakeet.frontend.vocab import Vocab
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from g2p_en import G2p
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class ARPABET(Phonetics):
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"""A phonology for English that uses ARPABET as the phoneme vocabulary.
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See http://www.speech.cs.cmu.edu/cgi-bin/cmudict for more details.
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Phoneme Example Translation
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------- ------- -----------
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AA odd AA D
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AE at AE T
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AH hut HH AH T
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AO ought AO T
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AW cow K AW
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AY hide HH AY D
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B be B IY
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CH cheese CH IY Z
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D dee D IY
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DH thee DH IY
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EH Ed EH D
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ER hurt HH ER T
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EY ate EY T
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F fee F IY
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G green G R IY N
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HH he HH IY
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IH it IH T
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IY eat IY T
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JH gee JH IY
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K key K IY
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L lee L IY
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M me M IY
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N knee N IY
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NG ping P IH NG
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OW oat OW T
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OY toy T OY
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P pee P IY
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R read R IY D
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S sea S IY
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SH she SH IY
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T tea T IY
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TH theta TH EY T AH
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UH hood HH UH D
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UW two T UW
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V vee V IY
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W we W IY
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Y yield Y IY L D
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Z zee Z IY
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ZH seizure S IY ZH ER
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"""
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phonemes = [
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'AA', 'AE', 'AH', 'AO', 'AW', 'AY', 'B', 'CH', 'D', 'DH', 'EH', 'ER',
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'EY', 'F', 'G', 'HH', 'IH', 'IY', 'JH', 'K', 'L', 'M', 'N', 'NG', 'OW',
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'OY', 'P', 'R', 'S', 'SH', 'T', 'TH', 'UW', 'UH', 'V', 'W', 'Y', 'Z',
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'ZH'
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]
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punctuations = [',', '.', '?', '!']
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symbols = phonemes + punctuations
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_stress_to_no_stress_ = {
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'AA0': 'AA',
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'AA1': 'AA',
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'AA2': 'AA',
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'AE0': 'AE',
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'AE1': 'AE',
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'AE2': 'AE',
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'AH0': 'AH',
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'AH1': 'AH',
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'AH2': 'AH',
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'AO0': 'AO',
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'AO1': 'AO',
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'AO2': 'AO',
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'AW0': 'AW',
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'AW1': 'AW',
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'AW2': 'AW',
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'AY0': 'AY',
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'AY1': 'AY',
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'AY2': 'AY',
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'EH0': 'EH',
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'EH1': 'EH',
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'EH2': 'EH',
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'ER0': 'ER',
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'ER1': 'ER',
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'ER2': 'ER',
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'EY0': 'EY',
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'EY1': 'EY',
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'EY2': 'EY',
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'IH0': 'IH',
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'IH1': 'IH',
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'IH2': 'IH',
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'IY0': 'IY',
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'IY1': 'IY',
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'IY2': 'IY',
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'OW0': 'OW',
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'OW1': 'OW',
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'OW2': 'OW',
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'OY0': 'OY',
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'OY1': 'OY',
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'OY2': 'OY',
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'UH0': 'UH',
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'UH1': 'UH',
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'UH2': 'UH',
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'UW0': 'UW',
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'UW1': 'UW',
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'UW2': 'UW'
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}
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def __init__(self):
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self.backend = G2p()
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self.vocab = Vocab(self.phonemes + self.punctuations)
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def _remove_vowels(self, phone):
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return self._stress_to_no_stress_.get(phone, phone)
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def phoneticize(self, sentence, add_start_end=False):
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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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phonemes = [self._remove_vowels(item) for item in self.backend(sentence)]
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if add_start_end:
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start = self.vocab.start_symbol
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end = self.vocab.end_symbol
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phonemes = [start] + phonemes + [end]
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phonemes = [item for item in phonemes if item in self.vocab.stoi]
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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 = [self.vocab.lookup(item) for item in phonemes]
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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, add_start_end=False):
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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, add_start_end=add_start_end))
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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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# 47 = 39 phones + 4 punctuations + 4 special tokens
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return len(self.vocab)
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class ARPABETWithStress(Phonetics):
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phonemes = [
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'AA0', 'AA1', 'AA2', 'AE0', 'AE1', 'AE2', 'AH0', 'AH1', 'AH2', 'AO0',
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'AO1', 'AO2', 'AW0', 'AW1', 'AW2', 'AY0', 'AY1', 'AY2', 'B', 'CH', 'D',
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'DH', 'EH0', 'EH1', 'EH2', 'ER0', 'ER1', 'ER2', 'EY0', 'EY1', 'EY2',
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'F', 'G', 'HH', 'IH0', 'IH1', 'IH2', 'IY0', 'IY1', 'IY2', 'JH', 'K',
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'L', 'M', 'N', 'NG', 'OW0', 'OW1', 'OW2', 'OY0', 'OY1', 'OY2', 'P',
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'R', 'S', 'SH', 'T', 'TH', 'UH0', 'UH1', 'UH2', 'UW0', 'UW1', 'UW2',
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'V', 'W', 'Y', 'Z', 'ZH'
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]
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punctuations = [',', '.', '?', '!']
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symbols = phonemes + punctuations
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def __init__(self):
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self.backend = G2p()
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self.vocab = Vocab(self.phonemes + self.punctuations)
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def phoneticize(self, sentence, add_start_end=False):
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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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phonemes = self.backend(sentence)
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if add_start_end:
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start = self.vocab.start_symbol
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end = self.vocab.end_symbol
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phonemes = [start] + phonemes + [end]
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phonemes = [item for item in phonemes if item in self.vocab.stoi]
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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 = [self.vocab.lookup(item) for item in phonemes]
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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, add_start_end=False):
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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, add_start_end=add_start_end))
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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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# 77 = 69 phones + 4 punctuations + 4 special tokens
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return len(self.vocab)
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"""
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A Simple Chinese Phonology using pinyin symbols.
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The G2P conversion converts pinyin string to symbols. Also it can handle string
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in Chinese chracters, but due to the complexity of chinese G2P, we can leave
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text -> pinyin to other part of a TTS system. Other NLP techniques may be used
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(e.g. tokenization, tagging, NER...)
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"""
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import re
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from parakeet.frontend.phonectic import Phonetics
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from parakeet.frontend.vocab import Vocab
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import pypinyin
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from pypinyin.core import Pinyin, Style
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from pypinyin.core import DefaultConverter
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from pypinyin.contrib.neutral_tone import NeutralToneWith5Mixin
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from itertools import product
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_punctuations = ['，', '。', '？', '！']
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_initials = [
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'b', 'p', 'm', 'f', 'd', 't', 'n', 'l', 'g', 'k', 'h', 'j', 'q', 'x', 'zh',
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'ch', 'sh', 'r', 'z', 'c', 's'
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]
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_finals = [
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'ii', 'iii', 'a', 'o', 'e', 'ea', 'ai', 'ei', 'ao', 'ou', 'an', 'en',
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'ang', 'eng', 'er', 'i', 'ia', 'io', 'ie', 'iai', 'iao', 'iou', 'ian',
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'ien', 'iang', 'ieng', 'u', 'ua', 'uo', 'uai', 'uei', 'uan', 'uen', 'uang',
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'ueng', 'v', 've', 'van', 'ven', 'veng'
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]
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_ernized_symbol = ['&r']
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_phones = _initials + _finals + _ernized_symbol + _punctuations
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_tones = ['0', '1', '2', '3', '4', '5']
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_toned_finals = [final + tone for final, tone in product(_finals, _tones[1:])]
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_toned_phonems = _initials + _toned_finals + _ernized_symbol + _punctuations
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class ParakeetConverter(NeutralToneWith5Mixin, DefaultConverter):
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pass
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class ParakeetPinyin(Phonetics):
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def __init__(self):
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self.vocab_phonemes = Vocab(_phones)
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self.vocab_tones = Vocab(_tones)
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self.pinyin_backend = Pinyin(ParakeetConverter())
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def convert_pypinyin_tone3(self, syllables, add_start_end=False):
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phonemes, tones = _convert_to_parakeet_style_pinyin(syllables)
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if add_start_end:
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start = self.vocab_phonemes.start_symbol
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end = self.vocab_phonemes.end_symbol
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phonemes = [start] + phonemes + [end]
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start = self.vocab_tones.start_symbol
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end = self.vocab_tones.end_symbol
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phonemes = [start] + tones + [end]
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phonemes = [
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item for item in phonemes if item in self.vocab_phonemes.stoi
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]
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tones = [item for item in tones if item in self.vocab_tones.stoi]
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return phonemes, tones
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def phoneticize(self, sentence, add_start_end=False):
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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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syllables = self.pinyin_backend.lazy_pinyin(sentence,
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style=Style.TONE3,
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strict=True)
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phonemes, tones = self.convert_pypinyin_tone3(syllables, add_start_end=add_start_end)
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return phonemes, tones
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def numericalize(self, phonemes, tones):
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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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phoneme_ids = [self.vocab_phonemes.lookup(item) for item in phonemes]
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tone_ids = [self.vocab_tones.lookup(item) for item in tones]
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return phoneme_ids, tone_ids
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def __call__(self, sentence, add_start_end=False):
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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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phonemes, tones = self.phoneticize(sentence,
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add_start_end=add_start_end)
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phoneme_ids, tone_ids = self.numericalize(phonemes, tones)
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return phoneme_ids, tone_ids
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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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# 70 = 62 phones + 4 punctuations + 4 special tokens
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return len(self.vocab_phonemes)
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@property
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def tone_vocab_size(self):
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# 10 = 1 non tone + 5 tone + 4 special tokens
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return len(self.vocab_tones)
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class ParakeetPinyinWithTone(Phonetics):
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def __init__(self):
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self.vocab = Vocab(_toned_phonems)
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self.pinyin_backend = Pinyin(ParakeetConverter())
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def convert_pypinyin_tone3(self, syllables, add_start_end=False):
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phonemes = _convert_to_parakeet_style_pinyin_with_tone(syllables)
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if add_start_end:
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start = self.vocab_phonemes.start_symbol
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end = self.vocab_phonemes.end_symbol
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phonemes = [start] + phonemes + [end]
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phonemes = [
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item for item in phonemes if item in self.vocab.stoi
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]
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return phonemes
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def phoneticize(self, sentence, add_start_end=False):
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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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syllables = self.pinyin_backend.lazy_pinyin(sentence,
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style=Style.TONE3,
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strict=True)
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phonemes = self.convert_pypinyin_tone3(syllables, add_start_end=add_start_end)
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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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phoneme_ids = [self.vocab.lookup(item) for item in phonemes]
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return phoneme_ids
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def __call__(self, sentence, add_start_end=False):
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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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phonemes = self.phoneticize(sentence, add_start_end=add_start_end)
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phoneme_ids = self.numericalize(phonemes)
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return phoneme_ids
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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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# 230 = 222 phones + 4 punctuations + 4 special tokens
|
||||
return len(self.vocab)
|
||||
|
||||
|
||||
def _convert_to_parakeet_convension(syllable):
|
||||
# from pypinyin.Style.TONE3 to parakeet convension
|
||||
tone = syllable[-1]
|
||||
syllable = syllable[:-1]
|
||||
|
||||
# expansion of o -> uo
|
||||
syllable = re.sub(r"([bpmf])o$", r"\1uo", syllable)
|
||||
|
||||
# expansion for iong, ong
|
||||
syllable = syllable.replace("iong", "veng").replace("ong", "ueng")
|
||||
|
||||
# expansion for ing, in
|
||||
syllable = syllable.replace("ing", "ieng").replace("in", "ien")
|
||||
|
||||
# expansion for un, ui, iu
|
||||
syllable = syllable.replace("un","uen")\
|
||||
.replace("ui", "uei")\
|
||||
.replace("iu", "iou")
|
||||
|
||||
# rule for variants of i
|
||||
syllable = syllable.replace("zi", "zii")\
|
||||
.replace("ci", "cii")\
|
||||
.replace("si", "sii")\
|
||||
.replace("zhi", "zhiii")\
|
||||
.replace("chi", "chiii")\
|
||||
.replace("shi", "shiii")\
|
||||
.replace("ri", "riii")
|
||||
|
||||
# rule for y preceding i, u
|
||||
syllable = syllable.replace("yi", "i").replace("yu", "v").replace("y", "i")
|
||||
|
||||
# rule for w
|
||||
syllable = syllable.replace("wu", "u").replace("w", "u")
|
||||
|
||||
# rule for v following j, q, x
|
||||
syllable = syllable.replace("ju", "jv")\
|
||||
.replace("qu", "qv")\
|
||||
.replace("xu", "xv")
|
||||
|
||||
return syllable + tone
|
||||
|
||||
|
||||
def _split_syllable(syllable: str):
|
||||
global _punctuations
|
||||
|
||||
if syllable in _punctuations:
|
||||
# syllables, tones
|
||||
return [syllable], ['0']
|
||||
|
||||
syllable = _convert_to_parakeet_convension(syllable)
|
||||
|
||||
tone = syllable[-1]
|
||||
syllable = syllable[:-1]
|
||||
|
||||
phones = []
|
||||
tones = []
|
||||
|
||||
global _initials
|
||||
if syllable[:2] in _initials:
|
||||
phones.append(syllable[:2])
|
||||
tones.append('0')
|
||||
phones.append(syllable[2:])
|
||||
tones.append(tone)
|
||||
elif syllable[0] in _initials:
|
||||
phones.append(syllable[0])
|
||||
tones.append('0')
|
||||
phones.append(syllable[1:])
|
||||
tones.append(tone)
|
||||
else:
|
||||
phones.append(syllable)
|
||||
tones.append(tone)
|
||||
return phones, tones
|
||||
|
||||
|
||||
def _convert_to_parakeet_style_pinyin(syllables):
|
||||
phones, tones = [], []
|
||||
for syllable in syllables:
|
||||
p, t = _split_syllable(syllable)
|
||||
phones.extend(p)
|
||||
tones.extend(t)
|
||||
return phones, tones
|
||||
|
||||
def _split_syllable_with_tone(syllable: str):
|
||||
global _punctuations
|
||||
|
||||
if syllable in _punctuations:
|
||||
# syllables
|
||||
return [syllable]
|
||||
|
||||
syllable = _convert_to_parakeet_convension(syllable)
|
||||
|
||||
phones = []
|
||||
|
||||
global _initials
|
||||
if syllable[:2] in _initials:
|
||||
phones.append(syllable[:2])
|
||||
phones.append(syllable[2:])
|
||||
elif syllable[0] in _initials:
|
||||
phones.append(syllable[0])
|
||||
phones.append(syllable[1:])
|
||||
else:
|
||||
phones.append(syllable)
|
||||
return phones
|
||||
|
||||
def _convert_to_parakeet_style_pinyin_with_tone(syllables):
|
||||
phones = []
|
||||
for syllable in syllables:
|
||||
p = _split_syllable_with_tone(syllable)
|
||||
phones.extend(p)
|
||||
return phones
|
||||
|
||||
Loading…
Reference in New Issue