mirror of
https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI.git
synced 2026-11-05 00:27:30 +00:00
[GH-ISSUE #537] Does this support other languages than english? #304
Labels
No labels
AMD/Intel
bug
bug
bug
colab
dependencies
documentation
duplicate
enhancement
following up
good first issue
help wanted
invalid
question
stale
stale
stale
todo list
wontfix
No milestone
No project
No assignees
1 participant
Notifications
Due date
No due date set.
Dependencies
No dependencies set.
Reference
RVC-Project/Retrieval-based-Voice-Conversion-WebUI#304
Loading…
Add table
Add a link
Reference in a new issue
No description provided.
Delete branch "%!s()"
Deleting a branch is permanent. Although the deleted branch may continue to exist for a short time before it actually gets removed, it CANNOT be undone in most cases. Continue?
Originally created by @PudyJapan on GitHub (Jun 16, 2023).
Original GitHub issue: https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/issues/537
Hi,
I tried with Turkish speech, but the converted voice changes pronunciation hugely it's not even understandable.
I tried increasing the training epochs but that resulted in even more deviation in pronunciation.
Is that because of the speech language or is it because of some problem with my training and input data?
Thank you for advance.
@sethtallen commented on GitHub (Jun 20, 2023):
@cadid1961 commented on GitHub (Jun 24, 2023):
Same here. I speak catalan and spanish. Really awsome results, I agree and a lot of thanks for the code! But it speaks/sings as an english speaker would in my languages. It's very notorious in the vowels. Is there any way to include non english phonemes? Thanks in advance!
@PudyJapan commented on GitHub (Jun 24, 2023):
@sethtallen Thank you for getting back to me and I am sorry for my late response.
@sethtallen commented on GitHub (Jun 26, 2023):
I would recommend more training data. Also save checkpoints and use those and compare it against the 200 epoch model. i.e. a model trained on 150 epochs, 100, 50, etc. See if you notice a difference. I'm not an expert on model training but I have seen people say you can 'overtrain' a model. V2 doesn't need as many epochs. Maybe 200 epochs on 4 minutes is too much. Still I'd recommend at least 10 minutes.
I just want to add context from my personal perspective. I only speak English fluently. I'm learning Japanese. I can't tell when I convert Japanese audio with a model trained on English if it sounds 'natural'. However, when I convert English audio using a model trained on Japanese there is very clear pronunciations that a Japanese person speaking English would make. I assume this is due to sounds which exist in English don't exist in Japanese so the model does not 'learn' them.
There is also a Japanese, Korean, and Chinese community involved in this. So I think its safe to say it does support other languages than English.
@PudyJapan commented on GitHub (Jun 26, 2023):
@sethtallen
Sounds good, I will check the other epochs and will try with 10 minutes of training data and post the results.
I appreciate your help.
@cadid1961 commented on GitHub (Jun 28, 2023):
For me problem solved with more training. With 400 epochs it's almost OK!!!
Thanks again!
@chenglong95007 commented on GitHub (Mar 4, 2024):
Would it be Okay for Indian Language?
@github-actions[bot] commented on GitHub (Apr 28, 2024):
This issue was closed because it has been inactive for 15 days since being marked as stale.