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This is a huge problem with espeak Farsi. For example: Physic laws are beautiful.
قوانین فیزیک جالب هستند
espeak say it:
ghavaanin fizik jaleb hastand
but the correct is:
ghavaanine fizik jaleb hastand
notice the "E". This problem is very common, I can say in every sentence we have this E connections and this means espeak reads every sentence wrong :)
hazm library can detect this but it is based on machine learning and needs a 20 megabytes model. Can we use this in espeak-ng? For example by making Farsi a seperate installable package?
The text was updated successfully, but these errors were encountered:
Is it possible to input the text to hazm and get the correct text as output, and then pipe that to espeak-ng? If yes, you could try a script that pipes everything through hazm first. Something like hazm "text" | espeak-ng -v fa
I don't know if combining hazm and espeak-ng is simple because hazm is a python script.
Yes it is possible but a built-in solution inside espeak-ng would be way more useful. Very tools, like screen readers have out of box support for espeak-ng but it is not easy to use hazm in them in this way.
This is a huge problem with espeak Farsi. For example: Physic laws are beautiful.
espeak say it:
but the correct is:
notice the "E". This problem is very common, I can say in every sentence we have this E connections and this means espeak reads every sentence wrong :)
hazm library can detect this but it is based on machine learning and needs a 20 megabytes model. Can we use this in espeak-ng? For example by making Farsi a seperate installable package?
The text was updated successfully, but these errors were encountered: