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Speech assessment tool methods for speech impaired children: a systematic literature review on the state-of-the-art in Speech impairment analysis
Speech is a powerful, natural mode of communication that facilitates effective interactions in human societies. However, when fluency or flow of speech is affected or interrupted, it leads to speech impairment. There are several types of speech impairment depending on the speech pattern and range fr...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986674/ https://www.ncbi.nlm.nih.gov/pubmed/37362682 http://dx.doi.org/10.1007/s11042-023-14913-0 |
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author | Usha, Gowri Prasood Alex, John Sahaya Rani |
author_facet | Usha, Gowri Prasood Alex, John Sahaya Rani |
author_sort | Usha, Gowri Prasood |
collection | PubMed |
description | Speech is a powerful, natural mode of communication that facilitates effective interactions in human societies. However, when fluency or flow of speech is affected or interrupted, it leads to speech impairment. There are several types of speech impairment depending on the speech pattern and range from mild to severe. Childhood apraxia of speech (CAS) is the most common speech disorder in children, with 1 out of 12 children diagnosed globally. Significant advancements in speech assessment tools have been reported to assist speech-language pathologists diagnosis speech impairment. In recent years, speech assessment tools have also gained popularity among pediatricians and teachers who work with preschoolers. Automatic speech tools can be more accurate for detecting speech sound disorders (SSD) than human-based speech assessment methods. This systematic literature review covers 88 studies, including more than 500 children, infants, toddlers, and a few adolescents, (both male and female) (age = 0–17) representing speech impairment from more than 10 countries. It discusses the state-of-the-art speech assessment methods, including tools, techniques, and protocols for speech-impaired children. Additionally, this review summarizes notable outcomes in detecting speech impairments using said assessment methods and discusses various limitations such as universality, reliability, and validity. Finally, we consider the challenges and future directions for speech impairment assessment tool research. |
format | Online Article Text |
id | pubmed-9986674 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-99866742023-03-06 Speech assessment tool methods for speech impaired children: a systematic literature review on the state-of-the-art in Speech impairment analysis Usha, Gowri Prasood Alex, John Sahaya Rani Multimed Tools Appl Article Speech is a powerful, natural mode of communication that facilitates effective interactions in human societies. However, when fluency or flow of speech is affected or interrupted, it leads to speech impairment. There are several types of speech impairment depending on the speech pattern and range from mild to severe. Childhood apraxia of speech (CAS) is the most common speech disorder in children, with 1 out of 12 children diagnosed globally. Significant advancements in speech assessment tools have been reported to assist speech-language pathologists diagnosis speech impairment. In recent years, speech assessment tools have also gained popularity among pediatricians and teachers who work with preschoolers. Automatic speech tools can be more accurate for detecting speech sound disorders (SSD) than human-based speech assessment methods. This systematic literature review covers 88 studies, including more than 500 children, infants, toddlers, and a few adolescents, (both male and female) (age = 0–17) representing speech impairment from more than 10 countries. It discusses the state-of-the-art speech assessment methods, including tools, techniques, and protocols for speech-impaired children. Additionally, this review summarizes notable outcomes in detecting speech impairments using said assessment methods and discusses various limitations such as universality, reliability, and validity. Finally, we consider the challenges and future directions for speech impairment assessment tool research. Springer US 2023-03-06 /pmc/articles/PMC9986674/ /pubmed/37362682 http://dx.doi.org/10.1007/s11042-023-14913-0 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Usha, Gowri Prasood Alex, John Sahaya Rani Speech assessment tool methods for speech impaired children: a systematic literature review on the state-of-the-art in Speech impairment analysis |
title | Speech assessment tool methods for speech impaired children: a systematic literature review on the state-of-the-art in Speech impairment analysis |
title_full | Speech assessment tool methods for speech impaired children: a systematic literature review on the state-of-the-art in Speech impairment analysis |
title_fullStr | Speech assessment tool methods for speech impaired children: a systematic literature review on the state-of-the-art in Speech impairment analysis |
title_full_unstemmed | Speech assessment tool methods for speech impaired children: a systematic literature review on the state-of-the-art in Speech impairment analysis |
title_short | Speech assessment tool methods for speech impaired children: a systematic literature review on the state-of-the-art in Speech impairment analysis |
title_sort | speech assessment tool methods for speech impaired children: a systematic literature review on the state-of-the-art in speech impairment analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986674/ https://www.ncbi.nlm.nih.gov/pubmed/37362682 http://dx.doi.org/10.1007/s11042-023-14913-0 |
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