This repository contains replication code for a range of research projects, organized into folders by paper. Each folder includes the scripts and data necessary to reproduce the results associated with that specific project. If you have any questions about the code or are looking for replication materials related to other projects not listed here, please feel free to contact me directly at tarnold2@richmond.edu.

Great! Here's the updated template including a BibTeX citation section. This keeps things clean, readable, and helpful for researchers who may want to cite your work directly.

Citation:
Ballier, N., Arnold, T., Méli, A. et al. (2024). Whisper for L2 speech scoring. International Journal of Speech Technology, 27, 923–934. https://doi.org/10.1007/s10772-024-10141-5

Description: Replication code for the paper investigating the use of OpenAI’s Whisper model for automatic scoring of second language (L2) speech. The scripts reproduce the model evaluation, scoring pipeline, and result analysis described in the publication.

@article{ballier2024whisper,
  title={Whisper for L2 speech scoring},
  author={Ballier, Nicolas and Arnold, Taylor and Méli, Aurélie and others},
  journal={International Journal of Speech Technology},
  volume={27},
  pages={923--934},
  year={2024},
  publisher={Springer},
  doi={10.1007/s10772-024-10141-5}
}