NNiceVois
Compressed audio input

MP3 to PTH: use an MP3 to train an RVC model

Upload an MP3 and start trainingUse your MP3 directly — the service prepares it for RVC training.
Summary

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.

Voice training

Train an RVC voice from an audio file

Add up to 50 WAV, MP3, FLAC, M4A, or OGG files. NiceVois keeps them separate and prepares them together as one private training dataset.

.pth

This name is used for the .pth, .index, and complete ZIP package.

Standard is selected automatically.
200 epochs

Recommended: add your audio and NiceVois will suggest the right number.

Clean audio produces a better model. Use a dry voice recording with minimal music, echo, or background noise. Prepare your audio first if it needs it.

Persistent cloud storage

Your model library

Your voice models are files you own. Download them once and no platform can take them away.

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Paid model packages stay saved until you delete them.

Your model files and private MP3 listening preview remain available after closing the browser. New trainings also keep the original recordings in a downloadable dataset ZIP. Paid voices and their saved datasets stay until you delete them. Free voices and their saved datasets are kept for 7 days; download them before then. Older voices may only have the MP3 listening copy. Temporary training files are removed after validation.

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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

QuestionMP3WAV
Can this tool upload it?YesYes
CompressionLossy; quality depends on the source and encodingOften uncompressed or lossless
File sizeUsually smallerUsually larger
Best choiceUse when it is the cleanest original you havePrefer 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.

Have a clean MP3?

Upload it directly and let the service prepare the training dataset.

Train a PTH model from MP3

Technical reference: RVC Project training instructions.