Third-party model and software used by the AI music detector page
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1. AI Music Detector (lofcz/ai-music-detector)
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File used:   ai_music_detector.onnx (14,795 bytes; logistic regression over a 3,585-value spectral "fakeprint")
Model page:  https://huggingface.co/lofcz/ai-music-detector
Source code: https://github.com/lofcz/ai-music-detector (commit 6ba389e, 2026-01-24)
Author:      Matěj Štágl (Hugging Face / GitHub user "lofcz")
License:     MIT (Hugging Face model card tag "license: mit"; GitHub repository LICENSE file)
Method:      D. Afchar, G. Meseguer-Brocal, K. Akesbi, R. Hennequin,
             "A Fourier Explanation of AI-music Artifacts", Proc. ISMIR 2025.
             https://arxiv.org/abs/2506.19108
Training data (per the model card): FMA Medium and proprietary real music;
             SONICS dataset and proprietary AI-generated music. No training data is distributed with this page.

MIT License

Copyright (c) 2026 Matěj Štágl

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

The page's JavaScript preprocessing (resampling, STFT, lower envelope) is our
own re-implementation of the MIT-licensed reference code in src/python/inference.py
of the repository above.


2. Transformers.js (@huggingface/transformers) and ONNX Runtime Web (onnxruntime-web)
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Loaded by the site's shared runtime. https://github.com/huggingface/transformers.js and
https://github.com/microsoft/onnxruntime — both under the Apache License, Version 2.0:
https://www.apache.org/licenses/LICENSE-2.0
(Transformers.js: Copyright Hugging Face, Inc.; ONNX Runtime: Copyright Microsoft Corporation.)


3. Example audio (samples/)
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See samples/CREDITS.md. "Toreador Song" (Bizet, Carmen) performed by Musopen — CC0 1.0;
"COW BOP" made with Suno, prompted by Two Scuffed — public domain (Wikimedia Commons).