license: mit
tags:
- text-to-articulation
- articulatory-kinematics
- speech-synthesis
- sparc
language:
- en
datasets:
- mythicinfinity/libritts_r
STArK (large) — Interspeech 2026 paper checkpoint
This is the checkpoint used for the results reported in STArK: Towards Synthesizing Articulatory Kinematics from Text (Xavier Yin, Carlos Busso, Interspeech 2026).
- Code: https://github.com/Lab-MSP/STArK
- Paper (temporary link): https://lab-msp.com/MSP/publications/Yin_2026.pdf
- Project page: https://lab-msp.github.io/STArK/
Which checkpoint is this?
| File / revision | Training step | Notes |
|---|---|---|
checkpoint.ckpt on main (tag paper-step-32k) |
32,000 | Paper checkpoint. model=large_model train=train_large, LibriTTS-R train-clean-100. |
checkpoint.ckpt at tag step-100k |
100,000 | Longer, separate training run. Published here from 2026-08-23 to 2026-11-05. It does not match the paper's reported results. |
main served the 100k-step checkpoint until 2026-11-05. If you downloaded this model before
that date, you have the 100k-step model, not the paper model. Re-download to get the paper
checkpoint.
SHA-256 of the paper checkpoint (checkpoint.ckpt on main):
1a704e045295e90c182001543b7fe0e2cb1fcb6fc9519a932e2bcb2da2dac5f3
Usage
git clone https://github.com/Lab-MSP/STArK && cd STArK && uv sync
python scripts/stark_cli.py synthesize "Hello, this is a test." \
--reference-audio my_voice.wav --output out.wav
The CLI downloads checkpoint.ckpt from this repo's main branch by default.
To load the 100k-step run instead:
from huggingface_hub import hf_hub_download
path = hf_hub_download("Lab-MSP/stark-large", "checkpoint.ckpt", revision="step-100k")
Then pass --checkpoint <path> to stark_cli.py.
Citation
@inproceedings{yin2026stark,
title = {{STArK}: Towards Synthesizing Articulatory Kinematics from Text},
author = {Yin, Xavier and Busso, Carlos},
booktitle = {Proc. Interspeech 2026},
year = {2026}
}
STArK resynthesizes speech with the SPARC vocoder; please also cite SPARC (Cho et al., "Coding Speech through Vocal Tract Kinematics", IEEE JSTSP 2024).