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[D]: Grapheme-to-Phoneme (G2P) refinement ideas.

Hi all, I am doing a project relating to G2P. I am looking at CMU seq2seq G2P project as a starting point. Basically, for the world “Hello”, G2P gives “HH EH L OW”, which is almost what I want. I want additional separation between distinct sounds, more like, “HH EH – L OW” (i.e, the additional “-” separator), or “machine” –> “M AH – SH IY N” (instead of just “M AH SH IY N”). Re-labeling the CMU training dictionary is one way, but I wonder if there is some simpler methods? Thank you!

submitted by /u/chapter544
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.