Reducing Vocal Fatigue With Bone Conduction Devices: Comparing Forbrain and Sidetone Amplification.


Journal

Journal of speech, language, and hearing research : JSLHR
ISSN: 1558-9102
Titre abrégé: J Speech Lang Hear Res
Pays: United States
ID NLM: 9705610

Informations de publication

Date de publication:
09 11 2023
Historique:
medline: 10 11 2023
pubmed: 17 10 2023
entrez: 16 10 2023
Statut: ppublish

Résumé

Altered auditory feedback research aims to identify methods to strengthen speakers' awareness of their own voicing behaviors, diminish their perception of vocal fatigue, and improve their voice production. This study aims to compare the effects of two bone conduction devices that provide altered auditory feedback. Twenty participants (19-33 years old, age: Across all participants, the use of bone conduction-altered auditory feedback devices resulted in a lower vocal fatigue when compared to the condition with no feedback. During the pre- and postvoice samples, the sound pressure level decreased significantly during feedback conditions. During feedback conditions, spectral mean and standard deviation significantly decreased, and spectral skew significantly increased. The results promote bone conduction as a possible preventative tool that may reduce self-reported vocal fatigue and compensatory voice production for healthy individuals without voice disorders.

Identifiants

pubmed: 37844616
doi: 10.1044/2023_JSLHR-23-00409
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

4380-4397

Auteurs

Charles Nudelman (C)

Department of Speech and Hearing Science, University of Illinois Urbana-Champaign.

Daniela Udd (D)

Faculty of Arts, Psychology and Theology, Department of Speech and Language Pathology, Åbo Akademi University, Turku, Finland.

Viveka Lyberg Åhlander (VL)

Faculty of Arts, Psychology and Theology, Department of Speech and Language Pathology, Åbo Akademi University, Turku, Finland.

Pasquale Bottalico (P)

Department of Speech and Hearing Science, University of Illinois Urbana-Champaign.

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Classifications MeSH