Replies: 5 comments
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I think we already have this included in our abbreviations_mapping = {
"eng": {
"Mr.": "Mister",
"Mrs.": "Mistress",
"Dr.": "Doctor",
"St.": "Saint",
"Jr.": "Junior",
"Sr.": "Senior",
"Ave.": "Avenue",
"Blvd.": "Boulevard",
"etc.": "et cetera",
"vs.": "versus",
"e.g.": "for example",
"i.e.": "that is",
"et al.": "and others"
},ect... Which is open to any contributions from the community on additions to them for specific languages |
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Is that what you were referring to? |
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What do you think? Or should we make a new thing in the As technically these are not abbreviations? 🤔 |
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usually this is something that a model manages like xtts which is multiple languages. |
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So I guess this is closed then? |
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Hi,
I have used the project to create an audiobook in Hungarian. I would find it quite useful to be able to specify to the speech generation a list of phonemes, to correct if a foreign name would be pronounced differently than the output language.
For example, if a hungarian text contains the name, "Thomas", in the audio output I would prefer that it is pronounced with Hungarian phonetics (i.e. similar to the English pronounciation): "Tomasz".
As I understand this feature would expose the possibility for the use to input phonetic translations in some format. Similar to how the math symbols are replaced and read out:
ebook2audiobook/lib/lang.py
Line 115 in 1bb4418
What do you think? Would this be a useful feature for others too? Or is it something that we could expect a user preprocesses in the text by replacing all occurances in the source ebook format?
Thanks,
Balazs
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