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Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
Published on: August 9, 2024
Normative Values of Client-Reported Outcome Measures and Self-Ratings of Six Voice Parameters via the VoiceEvalU8 App
Elizabeth U Grillo1, Brigit Corej1, Jeremy Wolfberg2
1Department of Communication Sciences and Disorders, West Chester University, West Chester, Pennsylvania, USA.
Objectives:
Ecological momentary assessments (EMA) and interventions (EMI) have the potential to assess and offer interventions repeatedly within the client's daily life through mobile app technology. Considering the development of the EMA VoiceEvalU8, the current work provided normative data by comparing traditional (i.e., paper and pencil) and electronic (i.e., VoiceEvalU8 app) administration modalities of client-reported outcome measures and client self-ratings of six voice parameters twice a day in their functional environment.
Methods:
In Experiment 1, 50 vocally healthy cisgender women and men completed the Voice Handicap Index (VHI)-30, VHI-10, and Vocal Fatigue Index (VFI) with paper and pencil and the VoiceEvalU8 app. The order of administration modality and perceptual scales was randomized for each participant. In Experiment 2, 104 vocally healthy cisgender women and men used the VoiceEvalU8 app across five days in the morning before talking all day and in the evening after talking all day to self-rate six voice parameters (i.e., overall quality, roughness, breathiness, strain, pitch, and loudness) on a scale from 0 - 100. Mann Whitney U tests were run for all measures. Means and standard deviations are reported for descriptive analysis and normative values.
Results:
In Experiment 1, results showed no significant differences between paper and pencil and VoiceEValU8 app administration for the VHI-30, VHI-10, and VFI for vocally healthy adults. Normative values in the current study were consistent with previous literature for the VHI-10 and VFI factor 1 and 2, but slightly higher for the VHI-30 and slightly lower for the VFI factor 3. In Experiment 2, results demonstrated significant differences for all six voice parameters between the morning and evening log sessions. Normative values demonstrated higher self-ratings in the morning as compared to the evening.
Conclusions:
For vocally healthy adults, completing the VHI-30, VHI-10, and VFI via paper and pencil and the VoiceEvalU8 app yielded the same results. Client self-ratings of six voice parameters on a scale from 0 - 100 twice a day demonstrated that vocally healthy adults perceived voice to be worse in the morning before talking all day as compared to the evening after talking all day. The results from the current work are promising for EMA via the VoiceEvalU8 app and support the need for continued investigations with clients with voice differences, problems, and/or disorders.
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