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| Max A. Little; Declan A. E. Costello; Meredydd L. Harries. |
| Clinical acoustic voice recording analysis is usually performed using classical perturbation measures including jitter, shimmer and noise-to-harmonic ratios. However, restrictive mathematical limitations of these measures prevent analysis for severely dysphonic voices. Previous studies of alternative nonlinear random measures addressed wide varieties of vocal pathologies. Here, we analyze a single vocal pathology cohort, testing the performance of these alternative measures alongside classical measures.

We present voice analysis pre- and post-operatively in unilateral vocal fold paralysis (UVFP) patients and healthy controls, patients undergoing standard medialisation thyroplasty surgery, using jitter, shimmer and... |
| Tipo: Manuscript |
Palavras-chave: Biotechnology; Bioinformatics. |
| Ano: 2009 |
URL: http://precedings.nature.com/documents/3106/version/1 |
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| Max A. Little; Patrick E. McSharry; Stephen A. Roberts; Declan A. E. Costello; Irene M. Moroz. |
| Background: Voice disorders affect patients profoundly, and acoustic tools can potentially measure voice function objectively. Disordered sustained vowels exhibit wide-ranging phenomena, from nearly periodic to highly complex, aperiodic vibrations, and increased "breathiness". Modelling and surrogate data studies have shown significant nonlinear and non-Gaussian random properties in these sounds. Nonetheless, existing tools are limited to analysing voices displaying near periodicity, and do not account for this inherent biophysical nonlinearity and non-Gaussian randomness, often using linear signal processing methods insensitive to these properties. They do not directly measure the two main biophysical symptoms of disorder: complex... |
| Tipo: Manuscript |
Palavras-chave: Biotechnology. |
| Ano: 2007 |
URL: http://precedings.nature.com/documents/326/version/1 |
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