Instructions to use RobertasTa/lt_LT-ingute-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Piper
How to use RobertasTa/lt_LT-ingute-medium with Piper:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download MODEL_CARD from RobertasTa/lt_LT-ingute-medium: direct link, hf CLI and curl.
- Browser
- Download file 3.34 kB
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https://huggingface.co/RobertasTa/lt_LT-ingute-medium/resolve/main/MODEL_CARD
- Command line
-
hf download hf://RobertasTa/lt_LT-ingute-medium/MODEL_CARD
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curl -L -o MODEL_CARD https://huggingface.co/RobertasTa/lt_LT-ingute-medium/resolve/main/MODEL_CARD
3.34 kB
| # Model card for ingute (medium) | |
| * Language: lt_LT (Lithuanian, Lithuania) | |
| * Speakers: 1 | |
| * Quality: medium | |
| * Samplerate: 22,050Hz | |
| **Synthetic voice.** Everything this model produces is AI-generated speech, not | |
| a human recording. If you publish audio made with it, disclose that it is | |
| machine-generated: the licence requires it, and the EU AI Act (Article 50, | |
| applicable since 2 August 2026) may require an AI label as well. | |
| ## Licence | |
| NewGenLTU Open RAIL-D License 1.0 — full text in `LICENSE-VOICE` | |
| (https://sitti.vdu.lt/newgenltu-openrail-d-license/). Free of charge: you may | |
| use, share and modify the voice; the licence does not prohibit commercial use. | |
| Its use restrictions (Attachment A) apply to everyone who uses the voice, and | |
| `LICENSE-VOICE` must travel with every copy. Credit: *Ingutė | |
| (`lt_LT-ingute-medium`), Robertas & Claude, grown from Reginutė*. | |
| ## Training | |
| Fine-tuned from `lt_LT-reginute1-medium` (CC BY 4.0, trained on the LIEPA | |
| corpus of Vilnius University), which is itself fine-tuned from the Piper | |
| catalogue checkpoint `ru_RU-irina-medium`, fine-tuned in turn from | |
| `en_US-lessac-medium` (see piper-voices discussion #94 on that base). Trained | |
| with our own tools. | |
| What is published here is the **voice**, not the means of making one: the | |
| exported model, its config, the phonemizer and its dictionary. The training | |
| checkpoint is deliberately not distributed. | |
| ## Phonemization — please read | |
| This voice uses `phoneme_type: text` with a custom `phoneme_id_map` (IPA plus | |
| three Lithuanian accent marks `ˈ ˌ ˋ`), the same map as Reginutė. Text must be | |
| phonemized by `phonemize_lithuanian.py` with its three tables | |
| (`lt_kirciai.tsv`, `lt_raides.tsv`, `lt_kreipiniai.tsv`). Plain Piper without | |
| the phonemizer feeds the model raw letters and will not produce Lithuanian. | |
| The phonemizer is merged into piper1-gpl and will ship with Piper 1.9.0; with | |
| that Piper, a config saying `"phoneme_type": "lithuanian"` runs it | |
| automatically. Until then, phonemize with the module and pass IPA to Piper — | |
| `synth_reginute.py` (shared with Reginutė) does exactly that. | |
| The module also normalizes text first (`skaiciu_pletiklis.py`, picked up when | |
| present; `expand_text=None` disables it): number case endings, clock times, | |
| units and letter-by-letter abbreviations. | |
| Recommended: `normalize_audio=False`, and long text split at punctuation | |
| (`ReginuteSynth` does both). | |
| ## Known limitations | |
| * **The voice needs the phonemizer** until Piper 1.9.0 — see above. | |
| * **The stress dictionary has individual errors.** It is derived, not checked | |
| word by word; words missing from it get espeak-ng's own guess. | |
| * **Homographs are not solved** — `nãmo` and `namõ` are spelled the same and | |
| differ only in accent; a word-level lookup cannot choose. | |
| * **`length_scale` 1.15 is a judgement by ear.** Override it freely. | |
| ## Attribution | |
| * Starting model: Reginutė (`lt_LT-reginute1-medium`, CC BY 4.0) — | |
| https://huggingface.co/RobertasTa/lt_LT-reginute1-medium | |
| * LIEPA corpus (2013–2015) — Vilnius University, with the Institute of the | |
| Lithuanian Language, the Lithuanian University of Educational Sciences and | |
| Šiauliai University; published as `meldynamics/liepa-tts` (CC BY 4.0). | |
| * Stress dictionary derived from `svogunas/g2p-lt-lexicon` by Arūnas Smaliukas | |
| (CC BY 4.0) and from the LIEPA annotations. | |