2016
DOI: 10.1044/2016_jslhr-s-15-0286
|View full text |Cite|
|
Sign up to set email alerts
|

Effects of Biofeedback on Control and Generalization of Nasalization in Typical Speakers

Abstract: Purpose: The purpose of this study was to determine the effects of biofeedback on control of nasalization in individuals with typical speech. Method: Forty-eight individuals with typical speech attempted to increase and decrease vowel nasalization. During training, stimuli consisted of consonant-vowelconsonant (CVC) tokens with the center vowels /a/ or /i/ in either a nasal or nonnasal phonemic context (e.g., /mim/ vs. /bib/), depending on the participant's training group. Half of the participants had access t… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
2
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 10 publications
(3 citation statements)
references
References 38 publications
0
2
0
Order By: Relevance
“…For such a future application, it may be helpful to know that the present study has already established that knowledge of the task does not appear to diminish the speaker’s compensatory response. Altered auditory feedback could supplement novel experimental interventions such as visual biofeedback of nasality [40-42].…”
Section: Discussionmentioning
confidence: 99%
“…For such a future application, it may be helpful to know that the present study has already established that knowledge of the task does not appear to diminish the speaker’s compensatory response. Altered auditory feedback could supplement novel experimental interventions such as visual biofeedback of nasality [40-42].…”
Section: Discussionmentioning
confidence: 99%
“…The normative values developed here provide a starting point for updating clinical standards. Nasometry has undeniable value in a wide range of clinical applications regardless of the patient's age[20,21]. The language tests developed and already in use can be transferred to modern digital devices.…”
mentioning
confidence: 99%
“…We have implemented an algorithmic estimation of nasalization via filtered HONC; feedback on the basis of these estimates has been shown to effect changes in nasalization in healthy speakers over two sessions (Heller Murray, Mendoza, Gill, Perkell, & Stepp, 2016). This same algorithm has been implemented into a video game format, which has been shown to be usable by children in the laboratory in one session (Cler, Voysey, & Stepp, 2015).…”
mentioning
confidence: 99%