THIRD_PARTY_NOTICES.md

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 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, 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.