Open-source attribution

LrcSong runs on open-source AI models. Most of them carry licences that ask nothing of us beyond keeping the licence with the code. A few are published under Creative Commons Attribution 4.0, which asks for credit. This page is that credit.

It is not an inventory of every model we run — it names the works whose licences ask to be named, and it names them here rather than on each tool page because a single model can sit behind several tools.

We run these models on our own servers to produce your output. We do not redistribute the model files or the recordings they were trained on, and we use each one unmodified.

The Voice Changer, Voice Cloner, and AI Cover Studio convert a voice using FreeVC (freevc24) by Jing-Yi Li (OlaWod), distributed under the MIT licence.

FreeVC was trained on the CSTR VCTK Corpus — around 44 hours of speech from 110 speakers, recorded at the Centre for Speech Technology Research, University of Edinburgh, by Christophe Veaux, Junichi Yamagishi and Kirsten MacDonald. The corpus is licensed CC BY 4.0 and is available from Edinburgh DataShare.

Veaux, C., Yamagishi, J. and MacDonald, K. (2017). CSTR VCTK Corpus: English Multi-speaker Corpus for CSTR Voice Cloning Toolkit.

Worth knowing: FreeVC is zero-shot. The voice you hear back is shaped by the reference audio you supply — no VCTK speaker's voice is reproduced in your output.

When a job aligns lyrics to audio word by word, the aligner is chosen by the language we detect. For Turkish, that model is mpoyraz/wav2vec2-xls-r-300m-cv7-turkish by mpoyraz, published under CC BY 4.0. It is used unmodified, and only to place timestamps — it never changes a word of your lyrics.

The aligners for other languages are Apache-2.0 or MIT and do not ask for attribution.

If you built something we run and this page has your name wrong, your licence wrong, or your work missing, that is a bug and we want to fix it — email support@lrcsong.com. An attribution page is only worth the accuracy of its worst line.