Compressed audio input
MP3 to PTH: use an MP3 to train an RVC model
Yes. A clear MP3 can be uploaded directly and used to train an RVC .pth model. This is model training, not an instant file-format conversion: the MP3 is decoded and prepared as training data before the cloud GPU begins learning the voice.
You do not have to convert the MP3 to WAV yourself just to satisfy the uploader. Converting a lossy MP3 into WAV also cannot restore audio information that compression already removed.
When an MP3 is good enough
An MP3 can work well when the voice is clear, the bitrate is reasonable, and there is little background sound. Listen for watery high frequencies, ringing, swishy consonants, clipping, or heavy music bleed. Those problems are part of the training signal and may be repeated by the model.
- Prefer the original MP3 over a copy that has been repeatedly exported.
- Use one target speaker and remove sections containing other voices.
- Do not increase the sample rate or bitrate and expect lost detail to return.
- If you have the original WAV or FLAC, use that instead of the compressed derivative.
What the service does with the MP3
The official RVC training workflow reads supported source audio through FFmpeg, converts it into the representation required by preprocessing, and then extracts the features used for training. NiceVois runs that workflow in a pinned cloud environment and validates the exported model before showing the downloads.
MP3 versus WAV for RVC training
| Question | MP3 | WAV |
|---|---|---|
| Can this tool upload it? | Yes | Yes |
| Compression | Lossy; quality depends on the source and encoding | Often uncompressed or lossless |
| File size | Usually smaller | Usually larger |
| Best choice | Use when it is the cleanest original you have | Prefer when both versions come from the same clean recording |
What you receive
The finished model is available as a named .pth, a matching .index, and a ZIP containing both. The public workspace retains the completed files for the displayed seven-day window, and you can delete an inactive job from your private model library at any time.
Upload it directly and let the service prepare the training dataset.
Train a PTH model from MP3Technical reference: RVC Project training instructions.