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

ABSTRACT:

Background

Speech intelligibility and speech comprehension for dysarthric speech has attracted much attention recently. 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. We focused on the modes of meaning extraction used in generalizing speaker-listener underpinnings in light of semantic ontology extraction as a desired technique, applied method types, speech representations used, and databases sourced from.

Methods

This study involved a systematic literature review using 7 electronic databases: Cochrane Da

SUBMITTER: Alaka B 

PROVIDER: S-EPMC10655903 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature