Automatic speech recognition underperforms with diverse accents as measured by Word Error Rate and a semantic similarity measure.
- DOI
- 10.1080/17483107.2026.2716598
- Published
- 2026 Aug 22
- Container
- Disability and rehabilitation. Assistive technology
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1080/17483107.2026.2716598,
title = {Automatic speech recognition underperforms with diverse accents as measured by Word Error Rate and a semantic similarity measure.},
author = {Urqueta Alfaro A and Roundtree KA and Pfaff MS and Bos N and Edell JD and Ten-Brink R},
year = {2026},
journal = {Disability and rehabilitation. Assistive technology},
doi = {10.1080/17483107.2026.2716598},
url = {https://doi.org/10.1080/17483107.2026.2716598}
}RIS
TY - JOUR TI - Automatic speech recognition underperforms with diverse accents as measured by Word Error Rate and a semantic similarity measure. AU - Urqueta Alfaro A AU - Roundtree KA AU - Pfaff MS AU - Bos N AU - Edell JD AU - Ten-Brink R PY - 2026 JO - Disability and rehabilitation. Assistive technology DO - 10.1080/17483107.2026.2716598 UR - https://doi.org/10.1080/17483107.2026.2716598 ER -
APA
A, U. A., KA, R., MS, P., N, B., JD, E., & R, T. (2026). Automatic speech recognition underperforms with diverse accents as measured by Word Error Rate and a semantic similarity measure.. Disability and rehabilitation. Assistive technology. https://doi.org/10.1080/17483107.2026.2716598
Source records
- pubmed · retrieved 2026-09-26T11:53:50.278Z