Comments (1)
The only workaround I found is to add this in __call__
function:
self.exceptions = {'http', 'https', 'rfc'}
elif word in self.exceptions:
pron = []
w_len = len(word)
for i in range(w_len):
pron.extend(self.cmu[word[i]][0])
if i != w_len - 1: pron.extend([" "])
g2p("http, rfc")
['EY1', 'CH', ' ', 'T', 'IY1', ' ', 'T', 'IY1', ' ', 'P', 'IY1', ' ', ',', ' ', 'AA1', 'R', ' ', 'EH1', 'F', ' ', 'S', 'IY1']
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Related Issues (20)
- Should UW be included in the phoneme set? HOT 1
- NLTK dependencies are downloaded during the import phase
- File ('homographs.en' ) is not closed after opening by construct_homograph_dictionary
- Reverse g2p
- Issue after installing HOT 1
- Model Attributes
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- PER/WER performance of neural net model
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- Mid-word hyphens are removed, should be treated similar to spaces
- Is `distance` required in the dependencies?
- Apostrophe converts to space. Gives funny pronunciation in TTS HOT 1
- For I'm, it's, I'll, you're, I've, I'd HOT 5
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from g2p.