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A Survey on Machine Learning Approaches for Automatic Detection of Voice Disorders.

Journal of Voice, 2019
The human voice production system is an intricate biological device capable of modulating pitch and loudness. Inherent internal and/or external factors often damage the vocal folds and result in some change of voice.
Sarika Hegde   +3 more
semanticscholar   +1 more source

Application of the ICF in Voice Disorders

Seminars in Speech and Language, 2007
The aim of this article is to describe how the World Health Organization's International Classification of Functioning, Disability and Health (ICF) can be adapted to describe the consequences of voice disorders. It first describes voice disorders under the four key components of the ICF: Body Functions, Body Structures, Activities and Participation ...
Abbott, KV, Ma, EPM, Yiu, EML
openaire   +4 more sources

Classification of Voice Disorders Using a One-Dimensional Convolutional Neural Network.

Journal of Voice, 2020
OBJECTIVES Auditory-perceptual voice analysis is a standard method for quantifying pathological voice quality, but perceptual ratings are based on subjective evaluations and therefore may vary among examiners.
Shintaro Fujimura   +6 more
semanticscholar   +1 more source

A summary of the Clinical Practice Guideline for the Diagnosis and Management of Voice Disorders, 2018 in Japan.

Auris, nasus, larynx, 2020
OBJECTIVE To develop a summary of the first version of the Clinical Practice Guideline of Voice Disorders for Diagnosis, Management, and Treatment in Japan by the Clinical Practice Guideline Committee of the Japan Society of Logopedics and Phoniatrics ...
H. Umeno   +15 more
semanticscholar   +1 more source

Performance of Different Acoustic Measures to Discriminate Individuals With and Without Voice Disorders.

Journal of Voice, 2020
The goal of this study is to compare and combine different acoustic features in discriminating subjects with and without voice disorders. A database of 484 adult patients participated in the research.
L. Lopes, V. Vieira, M. Behlau
semanticscholar   +1 more source

Disorders of Speech and Voice

Pediatric Annals, 1985
The focus of this article has been on the disorders of the motor aspects of speech and voice production, as contrasted with the symbolic aspects of the communication process (language). Categories of motor speech problems include those in which the articulation of speech sounds is aberrant, phonatory problems related to laryngeal function, those ...
openaire   +2 more sources

Voice Disorders in Islamic Religious Officials: Is It Any Different Than Those of the Teachers, Another Well-Known Professional Voice Users?

Journal of Voice, 2020
OBJECTIVES This study explores Islamic religious officials' voice use, disorders, and treatment methods by comparing the officials with teachers, the largest group of voice professionals.
Z. Ç. Büyükatalay   +3 more
semanticscholar   +1 more source

Voice Disorders and Impact of Voice Handicap in Norwegian Student Teachers

Journal of Voice, 2019
OBJECTIVES The primary objectives of the present study were to determine the prevalence of voice disorders in students studying to become elementary school teachers and to investigate the presence of potential risk factors for voice disorders. The amount
Susanna Simberg
exaly   +2 more sources

Prevalence, Characterization, and Impact of Voice Disorders in Fado Singers.

Journal of Voice, 2020
INTRODUCTION Fado is a genre of urban folk music from Portugal characterized by some particularities. Some indictions in the study point this population of singers to be at higher risk of developing voice disorders.
P. Pestana, Susana Vaz-Freitas, M. Manso
semanticscholar   +1 more source

Accuracy of Acoustic Voice Quality Index and Its Isolated Acoustic Measures to Discriminate the Severity of Voice Disorders.

Journal of Voice, 2020
OBJECTIVE To evaluate the Acoustic Voice Quality Index (AVQI) and its isolated acoustic measures accuracy in discriminating voices with different degrees of deviation. METHODS Two hundred and fifty-eight voice samples (160 dysphonic; 98 vocally healthy)
Marina Englert   +3 more
semanticscholar   +1 more source

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