A Semiautomated Protocol Towards Quantifying Vocal Effort in Relation to Vocal Performance During a Vocal Loading Task
(2022) In Journal of Voice- Abstract
To increase the reliability and comparability of vocal loading studies, this paper proposes the use of a standardized approach with experiments that are [1] grounded on consistent definitions of terms related to vocal fatigue (vocal effort, vocal demand, and vocal demand response), and [2] designed to reduce uncertainty and increase repeatability. In the approach, a semi-automated vocal loading task that also increases efficiencies in collecting and preparing vocal samples for analysis was used to answer the following research question: To what extent is vocal effort and vocal demand response sensitive to changes in vocal demands (ie, noise only, noise plus duration)? Results indicate that the proposed protocol design consistently... (More)
To increase the reliability and comparability of vocal loading studies, this paper proposes the use of a standardized approach with experiments that are [1] grounded on consistent definitions of terms related to vocal fatigue (vocal effort, vocal demand, and vocal demand response), and [2] designed to reduce uncertainty and increase repeatability. In the approach, a semi-automated vocal loading task that also increases efficiencies in collecting and preparing vocal samples for analysis was used to answer the following research question: To what extent is vocal effort and vocal demand response sensitive to changes in vocal demands (ie, noise only, noise plus duration)? Results indicate that the proposed protocol design consistently induced change in both vocal effort and vocal demand response, indicating vocal fatigue. The efficacy of future vocal loading studies would be improved by adopting a more consistent methodology for quantifying vocal fatigue, thus increasing interstudy comparability of results and conclusions.
(Less)
- author
- Hunter, Eric J. ; Berardi, Mark L. and Whitling, Susanna LU
- organization
- publishing date
- 2022
- type
- Contribution to journal
- publication status
- epub
- subject
- keywords
- Vocal loading— Vocal fatigue— Vocal effort— Vocal level— Vocal demand— Voice production
- in
- Journal of Voice
- publisher
- Elsevier
- external identifiers
-
- scopus:85124552027
- pmid:35168867
- ISSN
- 0892-1997
- DOI
- 10.1016/j.jvoice.2022.01.003
- language
- English
- LU publication?
- yes
- id
- ed8d5a89-a697-4388-a2db-748b26e91a00
- date added to LUP
- 2022-04-14 12:38:21
- date last changed
- 2024-06-20 01:53:50
@article{ed8d5a89-a697-4388-a2db-748b26e91a00,
abstract = {{<p>To increase the reliability and comparability of vocal loading studies, this paper proposes the use of a standardized approach with experiments that are [1] grounded on consistent definitions of terms related to vocal fatigue (vocal effort, vocal demand, and vocal demand response), and [2] designed to reduce uncertainty and increase repeatability. In the approach, a semi-automated vocal loading task that also increases efficiencies in collecting and preparing vocal samples for analysis was used to answer the following research question: To what extent is vocal effort and vocal demand response sensitive to changes in vocal demands (ie, noise only, noise plus duration)? Results indicate that the proposed protocol design consistently induced change in both vocal effort and vocal demand response, indicating vocal fatigue. The efficacy of future vocal loading studies would be improved by adopting a more consistent methodology for quantifying vocal fatigue, thus increasing interstudy comparability of results and conclusions.</p>}},
author = {{Hunter, Eric J. and Berardi, Mark L. and Whitling, Susanna}},
issn = {{0892-1997}},
keywords = {{Vocal loading— Vocal fatigue— Vocal effort— Vocal level— Vocal demand— Voice production}},
language = {{eng}},
publisher = {{Elsevier}},
series = {{Journal of Voice}},
title = {{A Semiautomated Protocol Towards Quantifying Vocal Effort in Relation to Vocal Performance During a Vocal Loading Task}},
url = {{http://dx.doi.org/10.1016/j.jvoice.2022.01.003}},
doi = {{10.1016/j.jvoice.2022.01.003}},
year = {{2022}},
}