| # Third-party notices and redistribution scope |
|
|
| This is a multi-component release, not a claim that every component shares one |
| license. The Hub card retains `license: other`; consult the component sources. |
|
|
| * GOPT-derived scorer and preprocessing source retain the original project's |
| BSD-3-Clause notice (`LICENSE`, copyright Yuan Gong, 2022). The published |
| scorer is the publisher's frozen StreamPA checkpoint, not the original GOPT |
| model and not the legacy v6 release. No training data or optimizer is bundled. |
| * The publisher's fine-tuned Whisper Base weights and their actual tokenizer |
| and processor are included. OpenAI's Whisper project publishes code and |
| model weights under MIT (`licenses/Whisper-MIT.txt`); the Transformers Hub |
| [Whisper Base card](https://huggingface.co/openai/whisper-base) labels its |
| converted distribution Apache-2.0. Both upstream notices are retained. |
| The included fine-tune is not interchangeable with generic Whisper Base. |
| * Charsiu frame-classifier code is from `lingjzhu/charsiu` commit |
| `13a69f2a22ca0c0962b75cc693399b0ae23a12c9`, under its MIT notice |
| (`licenses/Charsiu-MIT.txt`). The Charsiu weight repository does not expose |
| sufficiently explicit weight-redistribution terms for this release to |
| assign it a license. Its weights/tokenizer are **not redistributed here**. |
| `scripts/setup_assets.py` retrieves their official fixed revisions listed |
| in `assets/runtime_sources.json`; users must check the upstream terms. |
| * The pronunciation lexicon contains only isolated normalized word-to-phone |
| entries required by the frozen frontend. It is derived from |
| [speechocean762](https://www.openslr.org/101/), released by Beijing |
| Speechocean and Microsoft under CC BY 4.0. It omits utterance IDs, ordered |
| transcripts, recordings, boundaries and human scores. The normalization |
| and deduplication are adaptations. Attribution: Zhang et al., |
| *speechocean762: An Open-Source Non-native English Speech Corpus For |
| Pronunciation Assessment* (2021), https://arxiv.org/abs/2104.01378 . |
| CC BY 4.0: https://creativecommons.org/licenses/by/4.0/ . |
| * g2p-en 2.1.0 is installed from its official package (Apache-2.0 notice in |
| `licenses/G2P-Apache-2.0.txt`). Its runtime uses NLTK CMUdict and English |
| POS tagger resources. They are fetched from a fixed `nltk/nltk_data` |
| revision, with individual SHA256s, rather than redistributed as corpus |
| archives here. Refer to their bundled notices and |
| https://github.com/nltk/nltk_data/blob/gh-pages/DATASET-LICENSES.md . |
| * PyTorch, Transformers, NumPy, librosa, SoundFile, NLTK and safetensors are |
| separately installed packages, each subject to its own upstream license. |
| |
| Synthetic verification audio stays outside the public bundle. This release |
| does not distribute private recordings, human assessment labels, experiment |
| predictions, proprietary corpus archives or third-party optimizer states. |
| |
