GitHub - Kyubyong/g2p: g2p: English Grapheme To Phoneme Conversion (original) (raw)

This module is designed to convert English graphemes (spelling) to phonemes (pronunciation). It is considered essential in several tasks such as speech synthesis. Unlike many languages like Spanish or German where pronunciation of a word can be inferred from its spelling, English words are often far from people's expectations. Therefore, it will be the best idea to consult a dictionary if we want to know the pronunciation of some word. However, there are at least two tentative issues in this approach. First, you can't disambiguate the pronunciation of homographs, words which have multiple pronunciations. (See a below.) Second, you can't check if the word is not in the dictionary. (See b below.)

For the first homograph issue, fortunately many homographs can be disambiguated using their part-of-speech, if not all. When it comes to the words not in the dictionary, however, we should make our best guess using our knowledge. In this project, we employ a deep learning seq2seq framework based on TensorFlow.

nltk package will be automatically downloaded at your first run.

from g2p_en import G2p

texts = ["I have $250 in my pocket.", # number -> spell-out
         "popular pets, e.g. cats and dogs", # e.g. -> for example
         "I refuse to collect the refuse around here.", # homograph
         "I'm an activationist."] # newly coined word
g2p = G2p()
for text in texts:
    out = g2p(text)
    print(out)
>>> ['AY1', ' ', 'HH', 'AE1', 'V', ' ', 'T', 'UW1', ' ', 'HH', 'AH1', 'N', 'D', 'R', 'AH0', 'D', ' ', 'F', 'IH1', 'F', 'T', 'IY0', ' ', 'D', 'AA1', 'L', 'ER0', 'Z', ' ', 'IH0', 'N', ' ', 'M', 'AY1', ' ', 'P', 'AA1', 'K', 'AH0', 'T', ' ', '.']
>>> ['P', 'AA1', 'P', 'Y', 'AH0', 'L', 'ER0', ' ', 'P', 'EH1', 'T', 'S', ' ', ',', ' ', 'F', 'AO1', 'R', ' ', 'IH0', 'G', 'Z', 'AE1', 'M', 'P', 'AH0', 'L', ' ', 'K', 'AE1', 'T', 'S', ' ', 'AH0', 'N', 'D', ' ', 'D', 'AA1', 'G', 'Z']
>>> ['AY1', ' ', 'R', 'IH0', 'F', 'Y', 'UW1', 'Z', ' ', 'T', 'UW1', ' ', 'K', 'AH0', 'L', 'EH1', 'K', 'T', ' ', 'DH', 'AH0', ' ', 'R', 'EH1', 'F', 'Y', 'UW2', 'Z', ' ', 'ER0', 'AW1', 'N', 'D', ' ', 'HH', 'IY1', 'R', ' ', '.']
>>> ['AY1', ' ', 'AH0', 'M', ' ', 'AE1', 'N', ' ', 'AE2', 'K', 'T', 'IH0', 'V', 'EY1', 'SH', 'AH0', 'N', 'IH0', 'S', 'T', ' ', '.']

@misc{g2pE2019,
  author = {Park, Kyubyong & Kim, Jongseok},
  title = {g2pE},
  year = {2019},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/Kyubyong/g2p}}
}

May, 2018.