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Accepted for/Published in: JMIR Rehabilitation and Assistive Technologies

Date Submitted: Nov 21, 2022
Date Accepted: Jul 24, 2023

The final, peer-reviewed published version of this preprint can be found here:

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

Alaka B, Shibwabo B

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

JMIR Rehabil Assist Technol 2023;10:e44489

DOI: 10.2196/44489

PMID: 37889538

PMCID: 10655903

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

  • Benard Alaka; 
  • Bernard Shibwabo

ABSTRACT

Background:

In the past decade, Natural Language Processing has attracted significant attention in medical sciences. This includes speech intelligibility and partially speech comprehension, particularly in Dysarthric speech. Dysarthria is characterized by irregularities in the speed, strength, pitch, breath control, range, steadiness, and accuracy of muscle movements required for articulatory aspects of speech production.

Objective:

This study examined the contributions made by other studies involved in Dysarthric speech comprehension; in relation to the modes of meaning extraction used, applied method types, speech representations used, and databases sourced from.

Methods:

This study followed a systematic review approach to review and map 27 related studies.

Results:

The findings of this study indicated a significant gap in the inclusion of listener and speech independent features, majorly attributed to the non-robust speech representations used.

Conclusions:

An index was formulated to illustrate the mappings of the reviewed literature and as such, further research is proposed regarding to the formulation of semantic ontologies that will be useful in the inclusion key features of listener and speech independent features for meaning extraction of dysarthric speech.


 Citation

Please cite as:

Alaka B, Shibwabo B

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

JMIR Rehabil Assist Technol 2023;10:e44489

DOI: 10.2196/44489

PMID: 37889538

PMCID: 10655903

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