| license: gpl-3.0 | |
| pipeline_tag: automatic-speech-recognition | |
| language: | |
| - en | |
| - zh | |
| - ja | |
| - kr | |
| - ru | |
| - ta | |
| - es | |
| - fr | |
| - de | |
| - it | |
| - pt | |
| - kn | |
| - nl | |
| # ASTRAL-quantization (mirror) | |
| An unmodified, file-for-file mirror of | |
| [Plachta/ASTRAL-quantization](https://huggingface.co/Plachta/ASTRAL-quantization), | |
| taken 2026-08-26. All credit to Plachta; GPL-3.0 as licensed upstream | |
| (full text in LICENSE). | |
| From the original card: "This is a speech linguistic content quantizer | |
| [that] operates on Hubert-large features. It is trained with explicit ASR | |
| supervision to preserve more linguistic content while discarding more | |
| speaker traits." | |
| Contents: the bsq32 and bsq2048 quantizers (full `pytorch_model.bin` + | |
| `*_light.pth` + configs). The light checkpoints are the content | |
| extractors of Seed-VC V2. | |
| Mirrored for use in a local macOS music app — archival insurance against | |
| the original (a personal account) going away; the app downloads from the | |
| original while it exists. | |