Recent years have witnessed widespread adoption of machine learning (ML)/deep learning
(DL) techniques due to their superior performance for a variety of healthcare applications …

Os autores, especialistas em voz e laringologia, oferecem um texto explicativo à
comunidade em geral e aos profissionais da voz, ressaltando a importância de cuidar da …

Many common voice disorders are chronic or recurring conditions that are likely to result
from inefficient and/or abusive patterns of vocal behavior, referred to as vocal hyperfunction …

Purpose: Many studies using machine learning (ML) in speech, language, and hearing
sciences rely upon cross-validations with single data splitting. This study's first purpose is to …

Excessive vocal effort is a common clinical voice symptom, yet the acoustical manifestation
of vocal effort and how that is perceived by speakers and listeners has not been fully …

Purpose Previous work using ambulatory voice recordings has shown no differences in
average vocal behavior between patients with phonotraumatic vocal hyperfunction and …

Purpose: Voice dosimeters gather voice production data in the daily lives of individuals with
voice disorders. Additionally, voice dosimeters aid in understanding the pathophysiology of …

Monitoring subglottal neck-surface acceleration has received renewed attention due to the
ability of low-profile accelerometers to confidentially and noninvasively track properties …

Despite the frequent observation of a persistent opening in the posterior cartilaginous glottis
in normal and pathological phonation, its influence on the self-sustained oscillations of the …

Objectives: Clinical management of phonotraumatic vocal fold lesions (nodules, polyps) is
based largely on assumptions that abnormalities in habitual levels of sound pressure level …