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Journal articles on the topic 'Voice disorders Voice'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Clarós, Pedro. "Professional Opera Singers’ Voice Disorders In Relation To Voice Type." Archives of Medical Case Reports and Case Study 2, no. 1 (2019): 01–08. http://dx.doi.org/10.31579/2692-9392/004.

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2

Taguchi, Aki, Masamitsu Hyodo, and Osamu Shiromoto. "Voice Therapy for Voice Disorders." Koutou (THE LARYNX JAPAN) 20, no. 2 (2008): 99–103. http://dx.doi.org/10.5426/larynx1989.20.2_99.

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3

Sjölander, Peta, and Anita McAllister. "Children's Voice and Voice Disorders." Seminars in Speech and Language 34, no. 02 (2013): 071–79. http://dx.doi.org/10.1055/s-0033-1342978.

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4

Robert Thayer, Sataloff, Joseph R. Spiegel, and Hawkshaw Mary. "Voice disorders." Medical Clinics of North America 77, no. 3 (1993): 551–70. http://dx.doi.org/10.1016/s0025-7125(16)30239-5.

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5

Stemple, Joseph C. "Voice Disorders." Language, Speech, and Hearing Services in Schools 27, no. 3 (1996): 239. http://dx.doi.org/10.1044/0161-1461.2703.239.

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6

Chui, Kwok Tai, Miltiadis D. Lytras, and Pandian Vasant. "Combined Generative Adversarial Network and Fuzzy C-Means Clustering for Multi-Class Voice Disorder Detection with an Imbalanced Dataset." Applied Sciences 10, no. 13 (2020): 4571. http://dx.doi.org/10.3390/app10134571.

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The world has witnessed the success of artificial intelligence deployment for smart healthcare applications. Various studies have suggested that the prevalence of voice disorders in the general population is greater than 10%. An automatic diagnosis for voice disorders via machine learning algorithms is desired to reduce the cost and time needed for examination by doctors and speech-language pathologists. In this paper, a conditional generative adversarial network (CGAN) and improved fuzzy c-means clustering (IFCM) algorithm called CGAN-IFCM is proposed for the multi-class voice disorder detect

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7

Grillo, Elizabeth U. "A Nonrandomized Trial for Student Teachers of an In-Person and Telepractice Global Voice Prevention and Therapy Model With Estill Voice Training Assessed by the VoiceEvalU8 App." American Journal of Speech-Language Pathology 30, no. 2 (2021): 566–83. http://dx.doi.org/10.1044/2020_ajslp-20-00200.

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Purpose This study investigated the effects of the in-person and telepractice Global Voice Prevention and Therapy Model (GVPTM) treatment conditions and a control condition with vocally healthy student teachers. Method In this single-blinded, nonrandomized trial, 82 participants completed all aspects of the study. Estill Voice Training was used as the stimulability component of the GVPTM to train multiple new voices meeting all the vocal needs of the student teachers. Outcomes were assessed using acoustic, perceptual, and aerodynamic measures captured by the VoiceEvalU8 app at pre and post in

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8

Klingholz, Fritz, and Frank Martin. "Quantitative Spectral Evaluation of Shimmer and Jitter." Journal of Speech, Language, and Hearing Research 28, no. 2 (1985): 169–74. http://dx.doi.org/10.1044/jshr.2802.169.

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A vowel [a]-like, synthesized speech wave was perturbated by defined and comparable jitter and shimmer levels. The signal-to-noise ratio was calculated from the speech wave spectra. Noise emerges in those spectral regions in which the harmonics have high amplitudes, that is, at low frequencies and in the formant regions. Jitter created noise levels significantly higher than shimmer. To verify the theoretical findings, the voices of 32 women with functional voice disorders were analyzed for shimmer and jitter. It was found that only jitter is relevant for differentiating between hypo- and hyper

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9

Roy, Nelson. "Voice Disorders in Teachers." Perspectives on Voice and Voice Disorders 21, no. 2 (2011): 71–79. http://dx.doi.org/10.1044/vvd21.2.71.

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Voice disorders are a common occupational hazard of teaching school. This article provides an overview of recent epidemiological research surrounding this high-risk occupation, identifies possible mechanisms contributing to voice disorder development including vibration overdose, summarizes recent clinical trials research evaluating treatments for teachers with voice disorders, and discusses primary prevention and the relative inadequacy of “education only” approaches.

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10

de Alvear, Rosa Bermúdez. "Clinical voice disorders." Revista de Logopedia, Foniatría y Audiología 30, no. 1 (2010): 48–49. http://dx.doi.org/10.1016/s0214-4603(10)70007-3.

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11

Koufman, James A., and P. David Blalock. "Functional Voice Disorders." Otolaryngologic Clinics of North America 24, no. 5 (1991): 1059–73. http://dx.doi.org/10.1016/s0030-6665(20)31068-9.

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12

Maddern, Bruce R., Thomas F. Campbell, and Sylvan Stool. "Pediatric Voice Disorders." Otolaryngologic Clinics of North America 24, no. 5 (1991): 1125–40. http://dx.doi.org/10.1016/s0030-6665(20)31071-9.

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13

Berg, Shelley Von, and Stephen C. McFarlane. "Childhood Voice Disorders." Language, Speech, and Hearing Services in Schools 35, no. 4 (2004): 297–98. http://dx.doi.org/10.1044/0161-1461(2004/028).

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14

Bahr, Ruth Huntley. "Childhood Voice Disorders." Language, Speech, and Hearing Services in Schools 35, no. 4 (2004): 373–74. http://dx.doi.org/10.1044/0161-1461(2004/036).

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15

Valencia-Naranjo, Nieves, Elvira Mendoza, and Gloria Carballo. "Diagnostic voice disorders." Current Opinion in Otolaryngology & Head and Neck Surgery 3, no. 3 (1995): 164–68. http://dx.doi.org/10.1097/00020840-199506000-00003.

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16

Nuss, Roger C. "Pediatric voice disorders." Current Opinion in Otolaryngology & Head and Neck Surgery 5, no. 3 (1997): 167–71. http://dx.doi.org/10.1097/00020840-199706000-00004.

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17

Jahn, Anthony F. "Clinical Voice Disorders." JAMA 303, no. 10 (2010): 987. http://dx.doi.org/10.1001/jama.2010.253.

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18

Kosztyła-Hojna, Bożena. "Psychogenic voice disorders." Otolaryngologia Polska 72, no. 3 (2018): 1–4. http://dx.doi.org/10.5604/01.3001.0012.0636.

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Introduction. Voice express the psyche and personality of a person. Psychogenic dysphonia is called Phononeurosis. Neurosis, depression or family, occupational and social conflicts are the cause of voice disturbances. The most frequent type of dysphonia is hyperfunctional dysphonia, rarer – hypofunctional type. Aim. The aim of this study is an analysis of voice quality and diagnosis of clinical type of psychogenic dysphonia. Material and methods. The analyzed group consisted of 50 patients with voice disorders treated in 2017 and the control group – 30 people with physiological voice. In the d

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19

Li, Guo-Dong, Liancai Mu, and Shilin Yang. "Acoustic evaluation of Isshiki type III thyroplasty for treatment of mutational voice disorders." Journal of Laryngology & Otology 113, no. 1 (1999): 31–34. http://dx.doi.org/10.1017/s0022215100143099.

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AbstractThe goal of this study was to determine if there are acoustical differences between pre- and post-surgical voices and to evaluate the effectiveness of Isshiki type III thyroplasty in 11 male patients with mutational voice disorders. Acoustic measures were obtained both pre- and post-operatively. A comparison of pre-and post-operative fundamental frequency (Fo), voice frequencies, and vocal intensity obtained from a sustained vowel /i/ during different phonatory tasks was made. The results from the present study demonstrated that after operation the voice frequencies were significantly

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20

Trinite, Baiba. "THE INVESTIGATION OF VOICE HANDICAP INDEX IN TEACHERS WITH AND WITHOUT SELF-RATED VOICE DISORDERS." SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 3 (May 25, 2018): 169–78. http://dx.doi.org/10.17770/sie2018vol1.3323.

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Voice disorders restrict daily activity and impact the quality of life. The purpose of the study was to find out the impact of voice disorders on functional, physical and emotional condition of teachers with and without self-reported voice disorders. Two hundred thirty-five teachers with self-reported voice problems (Voice disorder group) and 174 teachers with no voice problems (Control group) in anamnesis completed Latvian version of Voice Handicap Index-30 (VHI-30). Teachers with voice disorders demonstrated higher median scores in VHI-30 total scale and functional, physical, and emotional s

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21

Radtsig, E. Yu Radtsig (), M. A. Varavina () Varavina, A. N. Radtsig () Radtsig, and V. V. Angelkova () Angelkova. "VOICE DISORDERS OF VOICES IN PERSONS OF VOICE-SPEECH PROFESSIONS: CAUSES AND WAYS OF CORRECTION." Pharmateca 8_2018 (October 12, 2018): 79–82. http://dx.doi.org/10.18565/pharmateca.2018.8.79-82.

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22

Mittal, Vikas, and R. K. Sharma. "Vocal Folds Analysis for Detection and Classification of Voice Disorder." International Journal of E-Health and Medical Communications 12, no. 4 (2021): 97–119. http://dx.doi.org/10.4018/ijehmc.20210701.oa6.

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The detection and description of pathological voice are the most important applications of voice profiling. Currently, techniques like laryngostroboscopy or surgical microlarynoscopy are popularly used for the diagnosis of voice pathologies but are invasive in nature. Disorders of vocal folds impact the quality of voice, and therefore, the accuracy of voice profiling is reduced. This paper presents a better solution to differentiate normal and pathological voices based on the glottal, physical, and acoustic and equivalent electrical parameters. These parameters have been correlated using mathe

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23

Abrams, Daniel A., Tianwen Chen, Paola Odriozola, et al. "Neural circuits underlying mother’s voice perception predict social communication abilities in children." Proceedings of the National Academy of Sciences 113, no. 22 (2016): 6295–300. http://dx.doi.org/10.1073/pnas.1602948113.

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The human voice is a critical social cue, and listeners are extremely sensitive to the voices in their environment. One of the most salient voices in a child’s life is mother's voice: Infants discriminate their mother’s voice from the first days of life, and this stimulus is associated with guiding emotional and social function during development. Little is known regarding the functional circuits that are selectively engaged in children by biologically salient voices such as mother’s voice or whether this brain activity is related to children’s social communication abilities. We used functiona

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24

Barabanova, V. V., and E. B. Fantalova. "Features of Emotional and Personal Spheres in Patients with Voice Disorders." Клиническая и специальная психология 5, no. 4 (2016): 39–49. http://dx.doi.org/10.17759/cpse.2016050403.

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Due to the adverse environmental effects and the risk of severe laryngotracheal diseases, as well as various voice disorders, the frequency of emotional disorders and their negative consequences among the mature population increases, as the increasing number of problems faced by the patient during his illness. Present article discusses the theoretical aspects of the study of emotional and personal spheres of patients with voice disorders, describes various approaches to the study of emotional states in people with voice disorders. The article presents the results of a study of emotional and pe

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25

Ravall, Sofie, and Susanna Simberg. "Voice Disorders and Voice Knowledge in Choir Singers." Journal of Voice 34, no. 1 (2020): 157.e1–157.e8. http://dx.doi.org/10.1016/j.jvoice.2018.07.005.

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26

Giannini, Susana Pimentel Pinto, and Léslie Piccolotto Ferreira. "Voice disorders in teachers and the International Classification of Functioning, Disability and Health (ICF)." Revista de Investigación e Innovación en Ciencias de la Salud 3, no. 1 (2021): 33–47. http://dx.doi.org/10.46634/riics.60.

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Introduction. Contemporary occupational diseases are increasingly expressed by function disorders, which include voice disorders, forcing workers to request a leave of absence from work and leading to an incapacity to perform their work activities. Teachers have the higher prevalence of vocal disorders among the professionals who use their voices professionally, which is reported as the second cause of teaching work absences in Brazil. Objective. To analyze the environment and organization aspects of the teaching work associated with the development of voice disorder of teachers, according to

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27

Sulica, Lucian. "Book Review: Voice Science, Clinical Assessment of Voice, Treatment of Voice Disorders." Annals of Otology, Rhinology & Laryngology 115, no. 11 (2006): 872. http://dx.doi.org/10.1177/000348940611501115.

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28

Shrestha, Susmita, Bijaya Kharel, Yogendra Amatya, Anil K. Adhikary, and Yogesh Neupane. "Prevalence of voice disorders in tertiary care hospital." International Journal of Scientific Reports 7, no. 3 (2021): 143. http://dx.doi.org/10.18203/issn.2454-2156.intjscirep20210508.

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<p class="abstract"><strong>Background:</strong> Human voice is unique due to laryngeal configuration. However, change in voice is common with age and gender. It can also be altered by vocal abuse and misuse leading to different types of voice disorders. So, the present study aims to study the prevalence of voice disorder in patients visiting the voice clinic ENT-HNS department of Tribhuvan University Teaching Hospital tertiary care center. </p><p class="abstract"><strong>Methods:</strong> This was a retrospective study carried out among the patients v

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29

Ma, Estella P.-M., and Edwin M.-L. Yiu. "Voice Activity and Participation Profile." Journal of Speech, Language, and Hearing Research 44, no. 3 (2001): 511–24. http://dx.doi.org/10.1044/1092-4388(2001/040).

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Traditional clinical voice evaluation focuses primarily on the severity of voice impairment, with little emphasis on the impact of voice disorders on the individual’s quality of life. This study reports the development of a 28-item assessment tool that evaluates the perception of voice problem, activity limitation, and participation restriction using the International Classification of Impairments, Disabilities and Handicaps-2 Beta-1 concept (World Health Organization, 1997). The questionnaire was administered to 40 subjects with dysphonia and 40 control subjects with normal voices. Results sh

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30

Herzel, Hanspeter, David Berry, Ingo R. Titze, and Marwa Saleh. "Analysis of Vocal Disorders With Methods From Nonlinear Dynamics." Journal of Speech, Language, and Hearing Research 37, no. 5 (1994): 1008–19. http://dx.doi.org/10.1044/jshr.3705.1008.

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Several authors have recently demonstrated the intimate relationship between nonlinear dynamics and observations in vocal fold vibration (Herzel, 1993; Mende, Herzel, & Wermke, 1990; Titze, Baken, & Herzel, 1993). The aim of this paper is to analyze vocal disorders from a nonlinear dynamics point of view. Basic concepts and analysis techniques from nonlinear dynamics are reviewed and related to voice. The voices of several patients with vocal disorders are analyzed using traditional voice analysis techniques and methods from nonlinear dynamics. The two methods are shown to complement e

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31

Boltežar, Lučka, and Maja Šereg Bahar. "Voice Disorders in Occupations with Vocal Load in Slovenia / Glasovne Težave V Poklicih Z Glasovno Obremenitvijo V Sloveniji." Slovenian Journal of Public Health 53, no. 4 (2014): 304–10. http://dx.doi.org/10.2478/sjph-2014-0033.

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Abstract Aim. The aim of this paper is to compare the prevalence of voice disorders and the risk factors for them in different occupations with a vocal load in Slovenia. Methods. A meta-analysis of six different Slovenian studies involving teachers, physicians, salespeople, catholic priests, nurses and speech-and-language therapists (SLTs) was performed. In all six studies, similar questions about the prevalence of voice disorders and the causes for them were included. Results. The comparison of the six studies showed that more than 82% of the 2347 included subjects had voice problems at some

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32

Hooper, Celia R. "Treatment of Voice Disorders in Children." Language, Speech, and Hearing Services in Schools 35, no. 4 (2004): 320–26. http://dx.doi.org/10.1044/0161-1461(2004/031).

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Children with voice disorders do respond to treatment, with vocal hyperfunction being the predominant disorder on the caseload of the pediatric voice clinician. This article reviews the literature in describing what is known about these children and typical disorders, prevention of voice disorders, the need for treatment, the referral patterns of teachers and others, and typical management programs and their settings. Good online resources are offered and brief highlights about voice therapy with children are reviewed.

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33

Astramowicz, Jolanta, and Anna Pajor. "Voice disorders in menopause." Menopausal Review 4 (2012): 339–42. http://dx.doi.org/10.5114/pm.2012.30250.

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34

Fritzell, BjÖRn. "Voice disorders and occupations." Logopedics Phoniatrics Vocology 21, no. 1 (1996): 7–12. http://dx.doi.org/10.3109/14015439609099197.

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35

Snow, Grace, and Elizabeth Guardiani. "Movement Disorders and Voice." Otolaryngologic Clinics of North America 52, no. 4 (2019): 759–67. http://dx.doi.org/10.1016/j.otc.2019.03.018.

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36

Gray, Steven D., Marshall E. Smith, and Helene Schneider. "VOICE DISORDERS IN CHILDREN." Pediatric Clinics of North America 43, no. 6 (1996): 1357–84. http://dx.doi.org/10.1016/s0031-3955(05)70523-x.

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37

Possamai, Victoria, and Benjamin Hartley. "Voice Disorders in Children." Pediatric Clinics of North America 60, no. 4 (2013): 879–92. http://dx.doi.org/10.1016/j.pcl.2013.04.012.

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38

Roy, Nelson. "Personality and Voice Disorders." Perspectives on Voice and Voice Disorders 21, no. 1 (2011): 17–23. http://dx.doi.org/10.1044/vvd21.1.17.

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It has been argued that personality, emotions, and psychological problems contribute to or are primary causes of voice disorders, and that voice disorders in turn create psychological problems and personality effects. This article provides an overview of recent concepts in personality and trait structure, briefly summarizes the “Trait Theory” which explains how personality may contribute to the development of primary muscle tension dysphonia and vocal nodules, reviews research aimed at testing the Trait Theory, and discusses clinical implications related to recognizing personality as a factor

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39

Boyle, Bernadette. "Voice Disorders in Children." Support for Learning 15, no. 2 (2000): 71–75. http://dx.doi.org/10.1111/1467-9604.00149.

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40

Roy, Nelson, Diane M. Bless, and Dennis Heisey. "Personality and Voice Disorders." Journal of Speech, Language, and Hearing Research 43, no. 3 (2000): 749–68. http://dx.doi.org/10.1044/jslhr.4303.749.

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To determine whether personality factors play causal, concomitant, or consequential roles in common voice disorders, a vocally normal control group and four groups with voice disorders—functional dysphonia (FD), vocal nodules (VN), spasmodic dysphonia (SD), and unilateral vocal fold paralysis (UVFP)—were compared on measures of personality and psychological adjustment. Superfactor group comparisons revealed that the majority of FD and VN subjects were classified as introverts and extraverts, respectively. Comparisons involving the SD, UVFP, and control subjects did not identify consistent pers

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41

Lerner, Michael Z., Boris Paskhover, Lynn Acton, and Nwanmegha Young. "Voice Disorders in Actors." Journal of Voice 27, no. 6 (2013): 705–8. http://dx.doi.org/10.1016/j.jvoice.2013.05.006.

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42

Donahue, Erin Nicole. "Working with voice disorders." Voice and Speech Review 9, no. 1 (2015): 106–8. http://dx.doi.org/10.1080/23268263.2015.1022076.

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43

Wilcox, Kim A. "Voice Disorders in Children." Language, Speech, and Hearing Services in Schools 20, no. 1 (1989): 93. http://dx.doi.org/10.1044/0161-1461.2001.93.

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44

Hirschberg, Jenö, P. H. Dejonckere, Minoru Hirano, Kazunori Mori, H. J. Schultz-Coulon, and Karel Vrtička. "Voice disorders in children." International Journal of Pediatric Otorhinolaryngology 32 (June 1995): S109—S125. http://dx.doi.org/10.1016/0165-5876(94)01149-r.

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45

St. Louis, Kenneth O., Gregory G. R. Hansen, Janice L. Buch, and Tonia L. Oliver. "Voice Deviations and Coexisting Communication Disorders." Language, Speech, and Hearing Services in Schools 23, no. 1 (1992): 82–87. http://dx.doi.org/10.1044/0161-1461.2301.82.

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The purpose of this study was to determine the extent to which other communicative disorders coexist with voice disorders in school children. The authors randomly selected two voice deviant groups and a control group from a database of nearly 39,000 school children in grades 1–12. Hoarseness was the most commonly occurring voice disorder in both groups. The majority of voice disordered children had coexisting articulation deviations. In addition, the voice disordered samples differed significantly from controls on two language measures and mean pure-tone hearing thresholds. This study supports

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46

Rosen, Clark A., Thomas Murry, Anna Zinn, Thomas Zullo, and Miriam Sonbolian. "Voice handicap index change following treatment of voice disorders." Journal of Voice 14, no. 4 (2000): 619–23. http://dx.doi.org/10.1016/s0892-1997(00)80017-x.

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47

Dejarnette, Glenda. "A multicultural annotative bibliography of voice and voice disorders." Howard Journal of Communications 4, no. 1-2 (1992): 164–75. http://dx.doi.org/10.1080/10646179209359772.

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48

Bottalico, Pasquale, Lorenzo Pavese, Arianna Astolfi, and Eric J. Hunter. "Voice accumulation and voice disorders in primary school teachers." Journal of the Acoustical Society of America 136, no. 4 (2014): 2294. http://dx.doi.org/10.1121/1.4900297.

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49

Vashani, K., M. Murugesh, G. Hattiangadi, et al. "Effectiveness of voice therapy in reflux-related voice disorders." Diseases of the Esophagus 23, no. 1 (2010): 27–32. http://dx.doi.org/10.1111/j.1442-2050.2009.00992.x.

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50

Roy, Nelson, Ray M. Merrill, Jenny Pierce, and Krishna M. Sundar. "Voice Disorders in Obstructive Sleep Apnea: Prevalence, Risk Factors, and the Role of CPAP." Annals of Otology, Rhinology & Laryngology 128, no. 3 (2018): 249–62. http://dx.doi.org/10.1177/0003489418819541.

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Objective: Obstructive sleep apnea (OSA) is characterized by frequent interruptions in breathing related to upper airway collapse during sleep and may adversely affect phonatory function. This study aimed to: (1) establish the prevalence, risks, and quality of life burden of voice disorders in OSA and (2) explore the relation between voice disorders and positive airway pressure (PAP) therapy. Study Design: Cross-sectional, descriptive epidemiology study. Methods: Analyses were based on 94 individuals with OSA (53 men, 41 women; mean age = 54.7 ± 12.8 years) who completed a telephone interview.

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