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A Tutorial Review on Clinical Acoustic Markers in Speech Science

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Title: A Tutorial Review on Clinical Acoustic Markers in Speech Science
Language: English
Authors: Schultz, Benjamin Glenn (ORCID 0000-0002-8306-0206), Vogel, Adam P. (ORCID 0000-0002-3505-2631)
Source: Journal of Speech, Language, and Hearing Research. Sep 2022 65(9):3239-3263.
Availability: American Speech-Language-Hearing Association. 2200 Research Blvd #250, Rockville, MD 20850. Tel: 301-296-5700; Fax: 301-296-8580; e-mail: slhr@asha.org; Web site: http://jslhr.pubs.asha.org
Peer Reviewed: Y
Page Count: 25
Publication Date: 2022
Document Type: Journal Articles
Reports - Descriptive
Descriptors: Acoustics, Speech Communication, Neurological Impairments, Diseases, Articulation (Speech), Phonetics, Measurement, Visualization, Auditory Perception
DOI: 10.1044/2022_JSLHR-21-00647
ISSN: 1092-4388
1558-9102
Abstract: Purpose: The human voice changes with the progression of neurological disease and the onset of diseases that affect articulators, often decreasing the effectiveness of communication. These changes can be objectively measured using signal processing techniques that extract acoustic features. When measuring acoustic features, there are often several steps and assumptions that might be known to experts in acoustics and phonetics, but are less transparent for other disciplines (e.g., clinical medicine, speech pathology, engineering, and data science). This tutorial describes these signal processing techniques, explicitly outlines the underlying steps for accurate measurement, and discusses the implications of clinical acoustic markers. Conclusions: We establish a vocabulary using straightforward terms, provide visualizations to achieve common ground, and guide understanding for those outside the domains of acoustics and auditory signal processing. Where possible, we highlight the best practices for measuring clinical acoustic markers and suggest resources for obtaining and further understanding these measures.
Abstractor: As Provided
Entry Date: 2023
Accession Number: EJ1362390
Database: ERIC
FullText Links:
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  Data: A Tutorial Review on Clinical Acoustic Markers in Speech Science
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  Data: <searchLink fieldCode="AR" term="%22Schultz%2C+Benjamin+Glenn%22">Schultz, Benjamin Glenn</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-8306-0206">0000-0002-8306-0206</externalLink>)<br /><searchLink fieldCode="AR" term="%22Vogel%2C+Adam+P%2E%22">Vogel, Adam P.</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-3505-2631">0000-0002-3505-2631</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22Journal+of+Speech%2C+Language%2C+and+Hearing+Research%22"><i>Journal of Speech, Language, and Hearing Research</i></searchLink>. Sep 2022 65(9):3239-3263.
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  Data: American Speech-Language-Hearing Association. 2200 Research Blvd #250, Rockville, MD 20850. Tel: 301-296-5700; Fax: 301-296-8580; e-mail: slhr@asha.org; Web site: http://jslhr.pubs.asha.org
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  Data: Purpose: The human voice changes with the progression of neurological disease and the onset of diseases that affect articulators, often decreasing the effectiveness of communication. These changes can be objectively measured using signal processing techniques that extract acoustic features. When measuring acoustic features, there are often several steps and assumptions that might be known to experts in acoustics and phonetics, but are less transparent for other disciplines (e.g., clinical medicine, speech pathology, engineering, and data science). This tutorial describes these signal processing techniques, explicitly outlines the underlying steps for accurate measurement, and discusses the implications of clinical acoustic markers. Conclusions: We establish a vocabulary using straightforward terms, provide visualizations to achieve common ground, and guide understanding for those outside the domains of acoustics and auditory signal processing. Where possible, we highlight the best practices for measuring clinical acoustic markers and suggest resources for obtaining and further understanding these measures.
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      – SubjectFull: Articulation (Speech)
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