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

Journals

  1. Chenain L, Riad R, Fraisse N, Jubin C, Morgado G, Youssov K, Lunven M, Bachoud-Levi A. Graph methods to infer spatial disturbances: Application to Huntington's Disease's speech. Cortex 2024;176:144 View