Purpose To determine what research evidence exists to support the use of voice measures
in the clinical assessment of patients with voice disorders. Method The American Speech …

Individuals with Autism Spectrum Disorder (ASD) tend to show distinctive, atypical acoustic
patterns of speech. These behaviors affect social interactions and social development and …

Over the past several decades, many acoustic markers have been proposed to be sensitive
to and measure overall voice quality. This meta-analysis presents a retrospective appraisal …

This study investigated the relationship between acoustic spectral/cepstral measures and
listener severity ratings in normal and disordered voice samples. CAPE-V sentence samples …

Voice practitioners require an objective index of dysphonia severity as a means to reliably
track treatment outcomes. To ensure ecological validity however, such a measure should …

Objectives/hypothesis: The purpose of this study was (1) to determine whether changes in
intra-and interrater reliability occur for inexperienced listeners' judgments of overall severity …

This study applies concepts and methods from the domain of Implicit Social Cognition to
examine language attitudes toward foreign and US accented speech. Implicit attitudes were …

The integration of artificial intelligence (AI) and the Internet of Things (IoT) has tremendous
prospects in smart healthcare. The advancement of AI in the form of deep learning brought a …

Spectral-and cepstral-based acoustic measures are preferable to time-based measures for
accurately representing dysphonic voices during continuous speech. Although these …

Objectives We sought to determine whether spectral-and cepstral-based acoustic measures
were effective in distinguishing dysphonic-strained voice quality from normal voice quality …