the speech is an easily accessible signal which clearly represents the characteristics of larynx and vocal folds. therefore, application of some proper machine learning algorithms on a small part of a recorded speech signal may help in non-invasive diagnosing of vocal fold diseases. since there are some experimental evidences that suggest the existence of chaotic behavior in speech production s...

OBJECTIVE To analyze factors associated with the prevalence of the medical diagnosis of vocal fold pathologies in teachers. METHODS A census-based epidemiological, cross-sectional study was conducted with 4,495 public primary and secondary school teachers in the city of Salvador, Northeastern Brazil, between March and April 2006. The dependent variable was the self-reported medical diagnosis ...

Introduction The study of the dynamic properties of vocal fold vibration is important for understanding the vocal production mechanism and the impact of organic and functional changes. The advent of high-speed videolaryngoscopy (HSV) has provided the possibility of seeing the real cycle of vocal fold vibration in detail through high sampling rate of successive frames and adequate spatial resolu...

OBJECTIVES/HYPOTHESIS Quantitative analysis of endoscopic high-speed video recordings of vocal fold vibrations has been growing in importance in recent years. The videos have mainly been analyzed using subjective evaluation, but this is examiner dependent, and the results show inadequate interobserver agreement. The aims of this study were therefore to identify appropriate objective parameters ...

Voice pathologies are a growing social concern, due to the role that voice and speech play in the performance of certain professions, and in the general population quality of life. In these last years emphasis has been placed in the early detection of these pathologies, for which computer tools performing voice processing are used to evaluate certain time and spectrum domain parameters to infer...

Acoustic analysis of voice features can complete the invasive observation-based methods for the diagnosis of vocal fold pathologies. Selection of an appropriate feature extraction method from the voice can significantly improve the diagnostic results for patients with vocal disorders. In this paper, the performance of nonlinear dynamics and acoustical perturbation features is evaluated in order...

The paper concerns the quest to find acoustical parameters that describe properties of vocal fold functioning from professional singing to voice pathologies. Improved data handling within the framework of phonetogram recordings has been used to arrive at a better understanding of what acoustical parameters could tell us about vocal registers.

OBJECTIVES/HYPOTHESIS Given the recent emergence of encouraging efficacy data regarding the utility of intralesional glucocorticoid (GC) injection for a variety of vocal fold pathologies, we sought to describe the location and expression pattern of the GC receptors within the vocal folds and quantify the effects of GCs on vocal fold fibroblasts. STUDY DESIGN In vitro, in vivo. METHODS Immun...

This paper investigates the effectiveness of measures related to vocal tract characteristics in classifying normal and pathological speech. Unlike conventional approaches that mainly focus on features related to the vocal source, vocal tract characteristics are examined to determine if interaction effects between vocal folds and the vocal tract can be used to detect pathological speech. Especia...