mirror of
https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI.git
synced 2026-11-05 00:27:30 +00:00
[GH-ISSUE #2025] Why does my RVC model produces bad results? #1366
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#1366
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 @GUUser91 on GitHub (Apr 29, 2024).
Original GitHub issue: https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/issues/2025
I created a RVC model and I had it set to 50 epochs for training. It produces bad results. Here is the audio file I used for training, I used version v2 and I set the target sample rate to 48k.
https://files.catbox.moe/440g5r.wav
Here is the input file I used.
https://vocaroo.com/11ANq5W9xFd5
Here is the output file.
https://vocaroo.com/136PewYoZmL3
Edit: I discovered Seed-VC which worked well with 6 minutes of training data. It was also worked with 14 seconds of training data.
@HotChocut commented on GitHub (Apr 30, 2024):
Your training data is good but you need more of it, 40 seconds is not enough to train a good RVC model. Aim for 10 minutes if possible but the more the merrier, I've done models with upwards of 4 hours worth of training data so there really is no such thing as "too much data".
I personally would also train with more epochs (around 200) but most of the time I just go with the shotgun approach and do 1000 which is DEFINITELY overkill and I would not recommend unless you're crazy like I am.