UNLABELLED Long-term complications in levodopa treated Parkinson's disease (PD) patients caused a resurgence of interest in pallidotomy as an option of treatment. However, postoperative complications such as speech disorders can occur. PURPOSE The aim of this study is to evaluate the acoustic voice in PD patients, before and after posteroventral pallidotomy. METHOD Twelve patients with PD w...

The voice changes with normal aging. For instance, older adults may have more extreme values on measures of irregularities in fundamental frequency (jitter) and intensity (shimmer) than the voices of younger adults [1]. Listeners perceive such voices to be rougher [2] and perform more poorly on word recognition when speech has been synthetically jittered [3]. Given that some older adults have v...

The goal of this study was to analyse perceptually and acoustically the voices of patients with Unilateral Vocal Fold Paralysis (UVFP) and compare them to the voices of normal subjects. These voices were analysed perceptually with the GRBAS scale and acoustically using the following parameters: mean fundamental frequency (F0), standard-deviation of F0, jitter (ppq5), shimmer (apq11), mean harmo...

This paper investigates the adaptation of automatic speech recognition to disease detection by analyzing the voice parameters. The analysis of the voice allows the identification of the diseases which affect the vocal apparatus and currently is carried out from an expert doctor through methods based on the auditory analysis. This paper presents a novel method to keep track of patient’s patholog...

In this paper the accuracy of two machine learning algorithms including SVM and Bayesian Network are investigated as two important algorithms in diagnosis of Parkinson’s disease. We use Parkinson's disease data in the University of California, Irvine (UCI). In order to optimize the SVM algorithm, different kernel functions and C parameters have been used and our results show that SVM with C par...

Objectives: Voice is influenced by personality. However, it is still questionable which acoustic features are influenced by personality traits. This study aimed to investigate the relationship between acoustic characteristics and personality dimensions. Methods: Thirty-three participants with dysphonia and 33 participants without dysphonia were recruited to take part in this cross-sectional st...

introduction: bnign laryngeal lesions are relatively commonly occurring problems which are often noted after changes in voice. since they are non-invasive and yield objective easy-to-collect data, acoustic laboratory methods are used along with perceptual assessments for evaluation of voice. studying acoustic characteristics is useful in diagnosis and treatment of voice disorders.  with regard ...

BACKGROUND Because of advances in voice research, voice acoustic analysis including fundamental frequency (F0), sound pressure level (SPL), jitter, shimmer, harmonics-to-noise ratio (H/N ratio), and maximum phonation time (MPT) can now be easily recorded and analyzed with a computer. Because these systems are widely used in clinical practice, this study was designed to establish the normal acou...