Pediatric Voice Analysis

Rohrer, Joseph W.; Maturo, Stephen; Hill, Courtney A.; Bunting, Glenn; Ballif, Cathy; Hartnick, Christopher J.

doi:10.1001/jamaoto.2014.1162

Cited by 23 publications

(1 citation statement)

References 6 publications

(10 reference statements)

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“…The midportion of the [a] and [i] vowel voice samples, which is considered a stable voice segment, was used for acoustic analysis. Fundamental frequency, jitter (frequency perturbation), shimmer (perturbation of amplitude), and harmonics-to-noise ratio (HNR) values were obtained using the MDVP [ 17 ].…”

Section: Methodsmentioning

confidence: 99%

Using Innovative Acoustic Analysis to Predict the Postoperative Outcomes of Unilateral Vocal Fold Paralysis

Tsou

Liu

Chang

et al. 2016

BioMed Research International

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Objective. Autologous fat injection laryngoplasty is ineffective for some patients with iatrogenic vocal fold paralysis, and additional laryngeal framework surgery is often required. An acoustically measurable outcome predictor for lipoinjection laryngoplasty would assist phonosurgeons in formulating treatment strategies. Methods. Seventeen thyroid surgery patients with unilateral vocal fold paralysis participated in this study. All subjects underwent lipoinjection laryngoplasty to treat postsurgery vocal hoarseness. After treatment, patients were assigned to success and failure groups on the basis of voice improvement. Linear prediction analysis was used to construct a new voice quality indicator, the number of irregular peaks (NIrrP). It compared with the measures used in the Multi-Dimensional Voice Program (MDVP), such as jitter (frequency perturbation) and shimmer (perturbation of amplitude). Results. By comparing the [i] vowel produced by patients before the lipoinjection laryngoplasty (AUC = 0.98, 95% CI = 0.78–0.99), NIrrP was shown to be a more accurate predictor of long-term surgical outcomes than jitter (AUC = 0.73, 95% CI = 0.47–0.91) and shimmer (AUC = 0.63, 95% CI = 0.37–0.85), as identified by the receiver operating characteristic curve. Conclusions. NIrrP measured using the LP model could be a more accurate outcome predictor than the parameters used in the MDVP.

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Section: Methodsmentioning

confidence: 99%