This repository contains the code and supporting artifacts that accompany a paper
currently under double-blind peer review.
All documentation — the training and decoding recipe, dataset details, and reproduction steps — is provided in the supplementary material of the paper.
To preserve double-blind review, the paper title, author names, and affiliations are
withheld, and identifying paths and identifiers have been removed.… See the full description on the dataset page:
https://huggingface.co/datasets/anon-asr-artifacts-2026/slt2026-code.
