Third-party notices
Our contributions are licensed under Apache-2.0 in the root LICENSE. The following third-party grants and notices remain in effect:
| Material | License and preserved notice |
|---|---|
| Shared Hangry Labs Pages theme | Apache-2.0; copyright 2026 Hangry Labs, copied from faster-qwen3-tts-studio; complete notice in site/theme/LICENSE |
| Original Sidon project attribution | MIT; copyright (c) 2025 sarulab-speech, in licenses/Sidon-upstream-MIT.txt |
| Selected ClearerVoice-Studio MossFormer2 architecture | Apache-2.0; licenses/ClearerVoice-Apache-2.0.txt |
| SpeechBrain-derived dual-path model portions | Apache-2.0; licenses/SpeechBrain-Apache-2.0.txt |
| FLASH-pytorch-derived model portions | MIT; copyright (c) 2022 Phil Wang, in licenses/FLASH-MIT.txt |
| Pinned MossFormer2 SS weights, downloaded separately | Publisher declares Apache-2.0; preserved model card |
| Pinned Sidon restoration exports | Publisher declares MIT; preserved model card and original Sidon MIT grant |
The exact imported source revision, file hashes and URLs are recorded in provenance.json. Local changes and the model asset’s revision/hash are described in RUNTIME_NOTICES.md. The notices and license files accompany the built distributions.
Dependencies and bundled native libraries retain their own terms. Their top-level
metadata is recorded in the dependency inventory;
it is a summary. Complete collected binary notices are in each image at
/app/licenses/runtime, with matching source provision in the sources target.
Studio additions
The optimized F32 restoration tensor bindings adapt the Sidon converter from
audio.cpp revision 1f5dc02257379b790fae9f3a0e0d28065d9baf2f, copyright 2026
ShugoAI LLC, Apache-2.0. Its original notice and license are retained in
licenses/audio.cpp-Apache-2.0.txt. This fork folds adapters in memory, retains
fused QKV projections, rewrites relative attention using PyTorch, and uses its own
F32 Triton activation kernel. The released Sidon model architecture and weights
retain their MIT grant. No other audio.cpp model family is imported.
The UI shell, GPU monitor and image/source publication helpers are adapted from
Hangry Labs faster-qwen3-tts-studio. The original MIT notice is retained in
licenses/faster-qwen-upstream-MIT.txt. Lucide icon font notices are distributed
in src/sidon/web/static/vendor/lucide/LICENSE. Shared Hangry Labs branding is
used with the project owner’s authorization.
Supplemental notices for installed wheels
| Package | Bundled component | Notice |
|---|---|---|
| torch 2.14.1+cu130 | Intel oneMKL 2024.2.0 | Intel Simplified Software License, reproduced below. |
| cuda-toolkit 13.0.3.0 | Dependency-only metapackage | Publisher describes it as containing no software. The reviewed wheel contains only METADATA, WHEEL and RECORD; the inventory retains its exact metadata. Installed CUDA components carry their own NVIDIA notices. |
The pinned PyTorch wheel omits this bundled component’s complete notice. Build provenance: https://github.com/pytorch/pytorch/blob/v2.14.1/.ci/docker/common/install_mkl.sh License source: https://cdrdv2-public.intel.com/749362/intel-simplified-license-software-october-2022.pdf
CUDA metapackage description: https://pypi.org/project/cuda-toolkit/13.0.3.0/ . The collector checks the exact METADATA hash and rejects this exception if any implementation files or native payloads appear. This does not assign a license to CUDA components or replace their bundled redistribution terms.
Intel oneMKL license text
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