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Conversion problems for some input character, and question about how to correct this problem #1
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Yes, I found the issue. I was using a list with a "Paulista" accent. I am now creating other lists to cater to different regions of Brazil, such as the South, North, and Northeast. This will allow you to train your model based on the region. It took a while to understand the logic of phonemes since there weren't any projects to guide me in Brazilian Portuguese. Despite that, I trained the Styletts 2 model with this phoneme, and the results were incredible, it turned out really good! I'm a bit short on time these days, but I promise to bring improvements in the coming days. Thank you for your feedback, and feel free to submit a pull request if you have one. |
Thank you for your kind response. I am glad that you are aware of these issues. I will wait for the improvements! |
In my next commit, I will ensure to add the simplified procedure for fine-tuning, specifically for improvements in the pronunciations of phonemes in regional variations. Thank you for your feedback. |
Is there now a fine-tune explanation on README, thank you! |
Thank you very much for your explanation. We will try your method. Thank you again. |
any PR are wellcome thank you |
Thank you for creating such a good Brazilian Portuguese text to IPA converter.
I found some problems in the phonemes transformed by xphonebr:
(1) Some phonemes correspond to "r" in input text disappear. e.g.:
caderneta [kadeˈnetə ], engordei [ẽgoˈdey ], formar [foˈmax].
(2) Pronunciation problems on "x". e.g.:
exame [eˈksãmɪ ] => [ks] might be [z]?
lixo [ˈliksʊ ] => [ks] might be [ʃ]?
(3) Other problems:
eu [ˈiʊ ] => [i] might be [e]?
homem [ˈmẽ ] => initial [ɔ] or [o] is lacking?
posso [ˈposʊ] (<poder) => [o] might be [ɔ]?
Do you plan to revise the checkpoint to improve the known problems (plus the ones shown above)? Or, is it easy to correct these problems by myself with fine-tuning, etc.?
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