Characterizing Dysarthria Diversity for Automatic Speech Recognition: A Tutorial From the Clinical Perspective

Hannah P. Rowe, Sarah E. Gutz, Marc F. Maffei, Katrin Tomanek, Jordan R. Green

Open source

DOI: 10.3389/fcomp.2022.770210
Published: 2022-04-12
Container: Frontiers in Computer Science
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fcomp.2022.770210,
  title = {Characterizing Dysarthria Diversity for Automatic Speech Recognition: A Tutorial From the Clinical Perspective},
  author = {Hannah P. Rowe and Sarah E. Gutz and Marc F. Maffei and Katrin Tomanek and Jordan R. Green},
  year = {2022},
  journal = {Frontiers in Computer Science},
  doi = {10.3389/fcomp.2022.770210},
  url = {https://doi.org/10.3389/fcomp.2022.770210}
}

RIS

TY  - JOUR
TI  - Characterizing Dysarthria Diversity for Automatic Speech Recognition: A Tutorial From the Clinical Perspective
AU  - Hannah P. Rowe
AU  - Sarah E. Gutz
AU  - Marc F. Maffei
AU  - Katrin Tomanek
AU  - Jordan R. Green
PY  - 2022
JO  - Frontiers in Computer Science
DO  - 10.3389/fcomp.2022.770210
UR  - https://doi.org/10.3389/fcomp.2022.770210
ER  -

APA

Rowe, H. P., Gutz, S. E., Maffei, M. F., Tomanek, K., & Green, J. R. (2022). Characterizing Dysarthria Diversity for Automatic Speech Recognition: A Tutorial From the Clinical Perspective. Frontiers in Computer Science. https://doi.org/10.3389/fcomp.2022.770210

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crossref · retrieved 2026-11-10T19:51:55.496Z