Disordered Speech Data Collection: Lessons Learned at 1 Million Utterances from Project Euphonia

Robert L. MacDonald, Pan-Pan Jiang, Julie Cattiau, Rus Heywood, Richard Cave, Katie Seaver, Marilyn A. Ladewig, Jimmy Tobin, Michael P. Brenner, Philip C. Nelson, Jordan R. Green, Katrin Tomanek

Speech samples from over 1000 individuals with impaired speech have been submitted for Project Euphonia, aimed at improving automated speech recognition systems for disordered speech. We provide an overview of the corpus, which recently passed 1 million utterances (>1300 hours), and review key lessons learned from this project. The reasoning behind decisions such as phrase set composition, prompted vs extemporaneous speech, metadata and data quality efforts are explained based on findings from both technical and user-facing research.

doi: 10.21437/Interspeech.2021-697

Cite as: MacDonald, R.L., Jiang, P.-P., Cattiau, J., Heywood, R., Cave, R., Seaver, K., Ladewig, M.A., Tobin, J., Brenner, M.P., Nelson, P.C., Green, J.R., Tomanek, K. (2021) Disordered Speech Data Collection: Lessons Learned at 1 Million Utterances from Project Euphonia. Proc. Interspeech 2021, 4833-4837, doi: 10.21437/Interspeech.2021-697

@inproceedings{macdonald21_interspeech,
  author={Robert L. MacDonald and Pan-Pan Jiang and Julie Cattiau and Rus Heywood and Richard Cave and Katie Seaver and Marilyn A. Ladewig and Jimmy Tobin and Michael P. Brenner and Philip C. Nelson and Jordan R. Green and Katrin Tomanek},
  title={{Disordered Speech Data Collection: Lessons Learned at 1 Million Utterances from Project Euphonia}},
  year=2021,
  booktitle={Proc. Interspeech 2021},
  pages={4833--4837},
  doi={10.21437/Interspeech.2021-697}
}