This paper is in the following e-collection/theme issue:

Emerging Technologies for Rehabilitation (241) Digital Health Reviews (1191) Natural Language Processing (650) Linguistics, Comprehension, and Learning (52) Speech and Phonetics in Verbal Protocols (Think Aloud, Recall, and Explanation Tasks) (91)

Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44489, first published .
Models and Approaches for Comprehension of Dysarthric Speech Using Natural Language Processing: Systematic Review

Models and Approaches for Comprehension of Dysarthric Speech Using Natural Language Processing: Systematic Review

Models and Approaches for Comprehension of Dysarthric Speech Using Natural Language Processing: Systematic Review

Authors of this article:

Benard Alaka1 Author Orcid Image ;   Bernard Shibwabo1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Benard Alaka   1 * , MSc ;   Bernard Shibwabo   1 * , PhD

1 School of Computing and Engineering Sciences, Strathmore University, Nairobi, Kenya

*all authors contributed equally

Corresponding Author:

  • Benard Alaka, MSc
  • School of Computing and Engineering Sciences
  • Strathmore University
  • Nairobi West
  • 59857
  • Nairobi, 00200
  • Kenya
  • Phone: 254 768888408
  • Email: balaka@strathmore.edu