Journal articles: 'Voice disorders'

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

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

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Clarós, Pedro. "Professional Opera Singers’ Voice Disorders In Relation To Voice Type." Archives of Medical Case Reports and Case Study 2, no. 1 (March 4, 2019): 01–08. http://dx.doi.org/10.31579/2692-9392/004.

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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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Sjölander, Peta, and Anita McAllister. "Children's Voice and Voice Disorders." Seminars in Speech and Language 34, no. 02 (April 30, 2013): 071–79. http://dx.doi.org/10.1055/s-0033-1342978.

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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 subscales (P<0.001). In teachers, voice disorders have a more significant impact on their physical comfort and have a smaller impact on their emotional sphere. 76.4% of the voice disorder group respondents acquired the total score within 12 to 33 points. In the control group, 75.3% of teachers had the VHI score of up to 17 points. Conclusions: In teacher population of Latvia mild voice disorders are encountered more often. Activity and participation in everyday life situations are limited in teachers with voice disorders. Voice disorders mostly impact physical comfort in teachers.

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Nilsuwankhosit, Chalermchai, Jeamjai Jeeraumporn, Sumalee Dechongkit, and Kunlawat Thadanipon. "A comparison of the phonation quotient between patients with voice disorders caused by benign vocal fold lesions and normal adults 20-80 years of age." Journal of Associated Medical Sciences 57, no. 2 (May 4, 2024): 101–6. http://dx.doi.org/10.12982/jams.2024.031.

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Background: A voice evaluation is an important first step in analyzing voice symptoms and determining appropriate treatment plans. The phonation quotient is a valid aerodynamic parameter in voice evaluations which is an indirect source of information for evaluating the valve function of the vocal folds of patients with voice disorders, especially patients with voice disorders caused by tumors of the vocal folds which is the most common cause in the patients with voice disorders. Objective: The present study aims to determine and compare the phonation quotient between patients with voice disorders caused by benign vocal fold lesions and normal adults between 20-80 years of age. Materials and methods: The participants comprised 40 adults with voice disorders caused by benign vocal fold lesions and 40 with normal voices. All participants’ voices were evaluated in the Speech Clinic at Ramathibodi Hospital, Bangkok. The phonation quotient (PQ) was calculated by the ratio of vital capacity (VC) to the maximum phonation time (MPT). VC and MPT were measured using a phonatory aerodynamic system (PAS). Results: The results of the present study indicated that the mean value of the PQ of adults with normal voices was 122.60 cc/sec (SD=16.36). The mean value of the PQ of adults with voice disorders caused by benign vocal fold lesions was 292.08 cc/ sec (SD=97.14). The mean value of the PQ in the group with voice disorders caused by benign vocal fold lesions was significantly more significant than the mean value of the PQ in the group with normal voice. Conclusion: The significant difference between the phonation quotient of adults with voice disorders caused by benign vocal fold lesions and adults with normal voice was that the PQ might be an indicator for indirect evaluation of the airflow leakage related to the efficiency of vocal fold movement during phonation. The PQ can be the optional voice measurement for monitoring and analyzing the outcomes of voice therapy.

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Roy, Nelson. "Voice Disorders in Teachers." Perspectives on Voice and Voice Disorders 21, no. 2 (July 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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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 (July 1, 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 detection of three common types of voice disorders. Existing benchmark datasets for voice disorders, the Saarbruecken Voice Database (SVD) and the Voice ICar fEDerico II Database (VOICED), use imbalanced classes. A generative adversarial network offers synthetic data to reduce bias in the detection model. Improved fuzzy c-means clustering considers the relationship between adjacent data points in the fuzzy membership function. To explain the necessity of CGAN and IFCM, a comparison is made between the algorithm with CGAN and that without CGAN. Moreover, the performance is compared between IFCM and traditional fuzzy c-means clustering. Lastly, the proposed CGAN-IFCM outperforms existing models in its true negative rate and true positive rate by 9.9–12.9% and 9.1–44.8%, respectively.

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Klingholz, Fritz, and Frank Martin. "Quantitative Spectral Evaluation of Shimmer and Jitter." Journal of Speech, Language, and Hearing Research 28, no. 2 (June 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 hyperfunctional voice disorders. Jitter was reduced in hyperfunctional voice disorder. This is presumed to be an effect of the high vocal fold tension found in the disorder.

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Ramani, Sai Aishwarya, Eric J. Hunter, and Lady Catherine Cantor Cutiva. "Acoustic speech parameter relationships with voice disorders and phrase differences." Journal of the Acoustical Society of America 153, no. 3_supplement (March 1, 2023): A295. http://dx.doi.org/10.1121/10.0018908.

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While acoustic speech analysis is non-invasive, the utility has been mixed due to the range of voice types. For vocal health practitioners to efficiently and quickly assess and document voice changes, knowing which voice parameter would be sensitive to vocal change is crucial. Using a database of 296 individual voices including 8 voice pathology types and typical voice samples, the sensitivity of a range of acoustic speech parameters to differentiate common voice pathology types was investigated. Both traditional and contemporary acoustic speech metrics were estimated for the samples using a custom MATLAB script and PRAAT (e.g., jitter, shimmer HNR, CPPS, Alpha ratio, PPE). Analysis then evaluate the predictability value of the metrics to discriminate pathology type. From the pool of parameters, 11 were able to identify pathological voices from normal controls and several of the parameters were more sensitive to some pathology. For example, CPPs and jitter values could discriminate neuropathological voices whereas HNR and Shimmer cold discriminate muscle-based pathologies. These results indicate how the sensitivity of acoustic speech metrics to the voice pathology types can allow for the identification of individual metrics (or combinations of metrics) which could be used to track changes in vocal health.

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Galiullina, L. K., and D. M. Mendelevich. "Mental disorders with voice disorders." Neurology Bulletin XXXIV, no. 1-2 (April 15, 2002): 80–81. http://dx.doi.org/10.17816/nb87575.

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The first mention of the relationship of voice disorders with the mental state of a person was made back in 1890 by F.E. Ingals, who viewed aphonia as a form of hysteria. R. Jane in 1920. in his work "The main symptoms of hysteria" he considered "sudden paralysis or loss of voice" as one of the "salutary ways out of the situation", when patients can show "a perverse attitude towards reality through the demonstration of their incapacity." D.K. Wilson (1990) notes the influence of a person's mental state on such parameters of a voice as loudness, pitch, pitch variation and voice quality. Curtis (1967) considered one of the causes of voice disorders in children to be poor adaptability to the environment and poor relationships between parents and children, lack of mutual understanding in interpersonal contacts. According to Andrews (1988), when testing patients with vocal disorders, a significant increase in the so-called cases of "conflict in expressing one's feelings through speech" was found.

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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 (August 3, 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 the International Classification of Functioning, Disability and Health (ICF). Method. This study consisted of two steps. Initially, an integrative bibliographic review was performed to search for references related to the topic in the LILACS, MEDLINE and SCIELO databases, using the health descriptors "voice disorders" and "teachers". Then, the selected articles were read in full in order to identify the work factors associated with the voice disorder and compared with the theoretical framework of the ICF, in order to identify possible indicators of loss of functioning and capacity for teaching work resulting from voice disorders. Results. The presence of dust and noise were the most prevalent environment aspects. In turn, the high demand for work and the lack of autonomy to perform the work were identified as factors related to the organization of the work of the teaching work, as well as stress at work and the presence of situations of violence at school as the most reported work absences. Conclusion. As shown, the factors of teaching work described impact all components of functioning and lead to the incapacity of the teacher to work. The use of the ICF may contribute to systematize and quantify, in a standardized way, the loss of functioning and work capacity resulting from voice disorders, in addition to assisting in the development of public health promotion policies and in the prevention of vocal disorders in teachers. Keywords: voice; voice disorders; dysphonia; vocology; signs and symptoms; teachers; worker's health; working environment; working conditions; International Classification of Functioning, Disability and Health – ICF; speech; language and hearing sciences.

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Jareontonyakorn, Piyawan, Supaporn Chinchai, and Wannipa Bunrayong. "Telepractice program in voice therapy for primary school teachers: A Pilot study." Journal of Associated Medical Sciences 56, no. 1 (January 3, 2023): 113–20. http://dx.doi.org/10.12982/jams.2023.014.

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Background: Teaching is an occupation where teachers consistently use their voices. However, excessive voice use causes voice disorders, especially in primary school teachers. Therefore, to prevent voice disorder problems in teachers during the COVID-19 pandemic, voice therapy using telepractice was adopted so that teachers would gain knowledge and know how to prevent voice disorders. Objectives: The main aim of this study was to develop and implement a pilot study on a telepractice program in voice therapy for primary school teachers. Materials and methods: Telepractice program for primary school teachers was designed from the literature review under the theory of voice therapy for those people with voice disorders. Five experts with more than five years’ experience in voice therapy tested the content validity, and five teachers undertook the entire program. Descriptive statistics were used to analyze the data. Results: The results of index of item-objective congruence (IOC) for content validity in Part 1 (program outline), Part 2 (program manual), Part 3 (telepractice videos), and Part 4 (telepractice program quizzes) were 0.8, 0.89, 0.88, and 0.87, respectively. The IOC of the entire telepractice program was found to be 0.86, which passed the criteria. The try-out phase resulted in teachers suggesting adjusting their participation time to after 6 pm. for more convenience. Other suggestions for using voice for online and onsite teaching during COVID-19 pandemic were also provided, e.g., voice level control while using a microphone, a headset, and a computer setting during online teaching. Conclusion: The pilot study of the telepractice program in voice therapy for primary school teachers passed the content validity test and try-out criteria for primary school teachers. Thus, the program could be used in voice therapy for teachers with voice disorders to eliminate program's efficiency in the next phase.

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Jareontonyakorn, Piyawan, Supaporn Chinchai, and Wannipa Bunrayong. "Telepractice program in voice therapy for primary school teachers: A Pilot study." Journal of Associated Medical Sciences 56, no. 1 (January 4, 2023): 113–20. http://dx.doi.org/10.12982/jams.2023.026.

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Background: Teaching is an occupation where teachers consistently use their voices. However, excessive voice use causes voice disorders, especially in primary school teachers. Therefore, to prevent voice disorder problems in teachers during the COVID-19 pandemic, voice therapy using telepractice was adopted so that teachers would gain knowledge and know how to prevent voice disorders. Objectives: The main aim of this study was to develop and implement a pilot study on a telepractice program in voice therapy for primary school teachers. Materials and methods: Telepractice program for primary school teachers was designed from the literature review under the theory of voice therapy for those people with voice disorders. Five experts with more than five years’ experience in voice therapy tested the content validity, and five teachers undertook the entire program. Descriptive statistics were used to analyze the data. Results: The results of index of item-objective congruence (IOC) for content validity in Part 1 (program outline), Part 2 (program manual), Part 3 (telepractice videos), and Part 4 (telepractice program quizzes) were 0.8, 0.89, 0.88, and 0.87, respectively. The IOC of the entire telepractice program was found to be 0.86, which passed the criteria. The try-out phase resulted in teachers suggesting adjusting their participation time to after 6 pm. for more convenience. Other suggestions for using voice for online and onsite teaching during COVID-19 pandemic were also provided, e.g., voice level control while using a microphone, a headset, and a computer setting during online teaching. Conclusion: The pilot study of the telepractice program in voice therapy for primary school teachers passed the content validity test and try-out criteria for primary school teachers. Thus, the program could be used in voice therapy for teachers with voice disorders to eliminate program's efficiency in the next phase.

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

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

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

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

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

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

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

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Kosztyła-Hojna, Bożena. "Psychogenic voice disorders." Otolaryngologia Polska 72, no. 3 (June 12, 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 diagnosed group 60% of patients were treated for neurosis, 12% due to depression, the others reported conflict situations. In the diagnosis of clinical type of psychogenic dysphonia GRBAS scale was used, maximum phonation time (MPT) and type of breathing were assessed. The visualisation of the larynx was performed using High Speed Digital Imaging (HSDI) technique. The parametric acoustic evaluation of voice was conducted. Results. The most often clinical type of psychogenic dysphonia was hyperfunctional dysphonia, rarer hypofunctional type and vestibular voice. Dysphonia occurred the most often in women during the highest professional activity period. In the diagnosis of clinical type HSDI technique was especially useful allowing to visualization of the real vocal fold vibration and objective differentiation of hyper- and hypofunctional dysphonia. The acoustic analysis of the voice objectively confirmed the presence non-harmonic components – noise generated in the glottis in hypofunctional dysphonia. Disturbances in the way and breathing type caused irregularities in respiratory-phonic and articulation coordination.

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

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Nguyen, Duy Duong, Antonia M. Chacon, Daniel Novakovic, Nicola J. Hodges, Paul N. Carding, and Catherine Madill. "Pitch Discrimination Testing in Patients with a Voice Disorder." Journal of Clinical Medicine 11, no. 3 (January 24, 2022): 584. http://dx.doi.org/10.3390/jcm11030584.

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Auditory perception plays an important role in voice control. Pitch discrimination (PD) is a key index of auditory perception and is influenced by a variety of factors. Little is known about the potential effects of voice disorders on PD and whether PD testing can differentiate people with and without a voice disorder. We thus evaluated PD in a voice-disordered group (n = 71) and a non-voice-disordered control group (n = 80). The voice disorders included muscle tension dysphonia and neurological voice disorders and all participants underwent PD testing as part of a comprehensive voice assessment. Percentage of accurate responses and PD threshold were compared across groups. The PD percentage accuracy was significantly lower in the voice-disordered group than the control group, irrespective of musical background. Participants with voice disorders also required a larger PD threshold to correctly discriminate pitch differences. The mean PD threshold significantly discriminated the voice-disordered groups from the control group. These results have implications for the voice control and pathogenesis of voice disorders. They support the inclusion of PD testing during comprehensive voice assessment and throughout the treatment process for patients with voice disorders.

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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 (December 21, 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. Results: Twenty-eight percent of participants reported having a current voice disorder. Of those with a current voice disorder, 83% had experienced symptoms for at least a year, and 58% had symptoms for at least 4 years. The prevalence of a current voice disorder was greater in women than men (44% vs 15%, P = .0020) but did not vary significantly across different age groups, body mass index (BMI), apnea/hypopnea index (AHI) severity, or medical history. After adjusting for sex, consistent use of PAP therapy (with humidification) was associated with (1) lower occurrence of voice disorders in women (Mantel-Haenszel [MH] χ2 P = .0195), (2) reduced snoring severity accompanied by fewer voice disorders in men (MH χ2 P = .0101), and (3) fewer reports of acid reflux as a possible trigger for voice problems (MH χ2 P = .0226). Patients with OSA who also had a current voice disorder experienced lower overall quality of life compared to those without. Conclusions: Chronic, longstanding voice disorders are common in women with OSA and produce significant adverse effects on quality of life. Nightly PAP use (with humidification) was associated with fewer voice symptoms and reduced severity of snoring and acid reflux as possible contributors. Further research is necessary to better understand the origin of these voice disorders in OSA and their potential response to treatment.

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Monica, Desnita. "FACTORS ASSOCIATED WITH VOICE DISORDERS: A SYSTEMATIC REVIEW." Journal of Advance Research in Medical & Health Science (ISSN: 2208-2425) 9, no. 8 (August 5, 2023): 14–19. http://dx.doi.org/10.53555/nnmhs.v9i8.1785.

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Introduction: During the ageing process, the larynx and structures involved in phonation undergo natural changes that account for the distinctive characteristics of geriatric voices. A voice disorder has occurred when, at any time, a person's voice fails and causes communication difficulties. This can have an adverse effect on communicative efficacy and quality of life, compromising mechanisms of socialisation, the maintenance of autonomy, and the feeling of well-being. However, there appears to be a lack of clarity regarding the factors associated with voice disorders in this population, particularly from an epidemiological standpoint. Objective: This study aims to identify factors associated with voice disorders in elderly through a comprehensive systematic review. Methods: A systematic review of literature published between 2004 and July 2023 was performed across several databases including MEDLINE/PubMed, Cochrane Library, and Google Scholar. Duplicate publications, review articles, and incomplete articles were excluded. Results: We included four appropriate studies in this systematic review, involving 65.112 patients in total. The population of the study was elderly, aged 60 years and older. The factors associated with voice disorders include, but are not limited to, age, gender, comorbid conditions such as colds, sore throats, gastroesophageal reflux, arthritis, thyroid problems, bronchitis, sleep disorders, asthma, chronic obstructive pulmonary disease, vocal fold disease, depression or anxiety, and geographic locations. Conclusion: Physical and psychosocial factors were associated with voice disorders in the elderly. However, the methodological differences between the studies included in this review, particularly in terms of sample selection and the instruments used, indicate a great deal of variability and undermine the results' reliability.

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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 (February 20, 2021): 143. http://dx.doi.org/10.18203/issn.2454-2156.intjscirep20210508.

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Background: 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. Methods: This was a retrospective study carried out among the patients visiting voice clinic in the department of ENT-HNS for a duration of one year. The patients were evaluated for voice disorder by a team of ENT doctors and Speech pathologists using perceptual and instrumental evaluation. The patients who required surgical intervention were excluded. A descriptive study was done among patients with voice disorders requiring voice therapy. Results: Out of 296 patients, the most common age group was 25-50 years with more females compared to males. Structural cause for voice disorder was most common in all age groups and gender in both professional and non-professional voice users but it was more prevalent in professional voice users.Conclusions: Voice disorders were more frequent in females than males and also in professional voice users as they tend to use voice more daily. The structural cause for voice disorder is the major cause of voice problems in all age groups.

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Hooper, Celia R. "Treatment of Voice Disorders in Children." Language, Speech, and Hearing Services in Schools 35, no. 4 (October 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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Cantor-Cutiva, Lady Catherine, Pasquale Bottalico, Juliana Codino, Eric J. Hunter, and Adam D. Rubin. "A Tribute to Dr. Cristina Jackson-Menaldi: A Pioneer in the Field of Voice Disorders." Revista de Investigación e Innovación en Ciencias de la Salud 5, no. 2 (November 30, 2023): 1–2. http://dx.doi.org/10.46634/riics.284.

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The field of voice disorders lost a true pioneer with the passing of Dr. Cristina Jackson-Menaldi (June 21, 1950 - November 20, 2020). A renowned voice pathologist and singing voice specialist, Dr. Jackson-Menaldi made significant contributions to our understanding and treatment of voice disorders. She was also a passionate advocate for voice education and disorder prevention.

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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 (January 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 other research indicating that different communication disorders frequently coexist.

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Di Cesare, Michele Giuseppe, David Perpetuini, Daniela Cardone, and Arcangelo Merla. "Assessment of Voice Disorders Using Machine Learning and Vocal Analysis of Voice Samples Recorded through Smartphones." BioMedInformatics 4, no. 1 (February 19, 2024): 549–65. http://dx.doi.org/10.3390/biomedinformatics4010031.

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Background: The integration of edge computing into smart healthcare systems requires the development of computationally efficient models and methodologies for monitoring and detecting patients’ healthcare statuses. In this context, mobile devices, such as smartphones, are increasingly employed for the purpose of aiding diagnosis, treatment, and monitoring. Notably, smartphones are widely pervasive and readily accessible to a significant portion of the population. These devices empower individuals to conveniently record and submit voice samples, thereby potentially facilitating the early detection of vocal irregularities or changes. This research focuses on the creation of diverse machine learning frameworks based on vocal samples captured by smartphones to distinguish between pathological and healthy voices. Methods: The investigation leverages the publicly available VOICED dataset, comprising 58 healthy voice samples and 150 samples from voices exhibiting pathological conditions, and machine learning techniques for the classification of healthy and diseased patients through the employment of Mel-frequency cepstral coefficients. Results: Through cross-validated two-class classification, the fine k-nearest neighbor exhibited the highest performance, achieving an accuracy rate of 98.3% in identifying healthy and pathological voices. Conclusions: This study holds promise for enabling smartphones to effectively identify vocal disorders, offering a multitude of advantages for both individuals and healthcare systems, encompassing heightened accessibility, early detection, and continuous monitoring.

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Hung, Chao-Hsiang, Syu-Siang Wang, Chi-Te Wang, and Shih-Hau Fang. "Using SincNet for Learning Pathological Voice Disorders." Sensors 22, no. 17 (September 2, 2022): 6634. http://dx.doi.org/10.3390/s22176634.

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Deep learning techniques such as convolutional neural networks (CNN) have been successfully applied to identify pathological voices. However, the major disadvantage of using these advanced models is the lack of interpretability in explaining the predicted outcomes. This drawback further introduces a bottleneck for promoting the classification or detection of voice-disorder systems, especially in this pandemic period. In this paper, we proposed using a series of learnable sinc functions to replace the very first layer of a commonly used CNN to develop an explainable SincNet system for classifying or detecting pathological voices. The applied sinc filters, a front-end signal processor in SincNet, are critical for constructing the meaningful layer and are directly used to extract the acoustic features for following networks to generate high-level voice information. We conducted our tests on three different Far Eastern Memorial Hospital voice datasets. From our evaluations, the proposed approach achieves the highest 7%–accuracy and 9%–sensitivity improvements from conventional methods and thus demonstrates superior performance in predicting input pathological waveforms of the SincNet system. More importantly, we intended to give possible explanations between the system output and the first-layer extracted speech features based on our evaluated results.

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Karki, Reeba, and Kiran Rai. "Analysis of voice disorders at Shree Birendra Hospital." Medical Journal of Shree Birendra Hospital 10, no. 2 (July 16, 2012): 8–10. http://dx.doi.org/10.3126/mjsbh.v10i2.6455.

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Introduction: Voice disorder is a common condition encountered in ENT-HNS clinic. This study was conducted to analyze the prevalence, presentation and to assess the management of patients with voice disorders at Shree Birendra Hospital. Method: A prospective study of all the patients with voice disorders attending in ENT-HNS outpatient department of Shree Birendra Hospital from November 15th 2010 to May 15th 2011 were evaluated both clinically and with fi bro optic laryngoscope. Each patient was assessed by consultant ENT-Head and Neck surgeon and speech therapist. Patient with psychological disorders and those without fi bro optic laryngoscope findings were excluded in the study. Results: Total numbers of 120 patients were analyzed. There were 88(73%) females and 32 (27%) males. Most common voice disorder was habitual dysphonia among 70 patients (58.3%) followed by true vocal cord nodule in 20 patients (16.6%). Majority of the patients (79.16%) with voice disorders were managed by speech therapy and only 25 (21%) patients required surgical intervention. Conclusion: Voice disorders are frequent occurrence and most of these can be treated with voice therapy alone. Only few require surgical intervention.DOI: http://dx.doi.org/10.3126/mjsbh.v10i2.6455 Medical Journal of Shree Birendra Hospital July-Dec 2011 10(2) 8-10

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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 personal spheres of individuals with voice disorders. It was found that indicators of situational and personal anxiety were significantly higher in the patient group. There are gender-specific emotional displays in people with disorders of the vocal apparatus. Respondents in violation of voices prevail emotions such as grief; fear and anger. In healthy respondents dominate interest, joy and emotional excitability. It also turned out that the main factors associated voice pathology, are such emotional traits as lack of interest in life, suffering and distress, low emotional excitability and later acting out feelings.

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Lee, Ji-Yeoun, Ji-Hye Park, Ji-Na Lee, and Ah-Ra Jung. "Investigation of the Clinical Effectiveness and Prognostic Factors of Voice Therapy in Voice Disorders: A Pilot Study." Applied Sciences 13, no. 20 (October 20, 2023): 11523. http://dx.doi.org/10.3390/app132011523.

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Examining the relationship between the prognostic factors and the effectiveness of voice therapy is a crucial step in developing personalized treatment strategies for individuals with voice disorders. This study recommends using the multilayer perceptron model (MLP) to comprehensively analyze the prognostic factors, with various parameters, including personal habits and acoustic parameters, that can influence the effectiveness of before-and-after voice therapy in individuals with speech disorders. Various methods, including the assessment of personal characteristics, acoustic analysis, statistical analysis, binomial logistic regression analysis, and MLP, are implemented in this experiment. Accuracies of 87.5% and 85.71% are shown for the combination of optimal input parameters for female and male voices, respectively, through the MLP model. This fact validates the selection of input parameters when building our model. Good prognostic indicators for the clinical effectiveness of voice therapy in voice disorders are jitter (post-treatment) for females and MPT (pre-treatment) for males. The results are expected to provide a foundation for modeling research utilizing artificial intelligence in voice therapy for voice disorders. In terms of follow-up studies, it will be necessary to conduct research that utilizes big data to analyze the optimal parameters for predicting the clinical effectiveness of voice disorders.

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Mikolajcikova, M., V. Ferencikova, K. Fiolkova, V. Sokolikova, Z. Matuskova, and O. Osina. "Occupational Voice Disorders in Slovakia Today and in the Past." Acta Medica Martiniana 19, no. 1 (April 1, 2019): 38–44. http://dx.doi.org/10.2478/acm-2019-0005.

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Abstract Introduction: Voice disorders primarily affect workers in professions with increased voice demands, such as teaching personnel in educational system, singers, lecturers, actors or managers. Severe voice disorders often require a permanent change of work position. Methods: Retrospective analysis of a set of patients with occupational voice disorders who were hospitalized at the Clinic of Occupational Medicine and Toxicology, Martin University Hospital (COMaT, MUH) in the years of 2000–2017. Comparison of the data obtained with the National Centre of Medical Information (NCMI) data on the occurrence of occupational voice disorders throughout the Slovak Republic (SR). Comparison with the retrospective analysis of reported occupational voice disorders in the years of 1967-1996. Case report of a patient with an occupational voice disorder. Results: We point to a long-term low incidence of occupational voice disorders. In the years of 2000-2017, 24 cases of occupational voice disorders were reported in Slovakia, of which 20 cases were reported under item 42-1 and 4 cases under item 42-2 in the List of Occupational Diseases. Through the COMaT, MUH 11 cases of occupational voice disorders were reported during these years, of which 9 cases were listed under item 42-1 and 2 cases under item 42-2. From 1967 to 1996 there were 52 occupational voice disorders reported in Slovakia, of which 45 were under item 42-1 and 7 under item 42-2. Conclusions: As there is a tendency to underestimate the voice difficulties among teaching staff, it is necessary to provide better information about the possible consequences, prevention, and treatment of these diseases. All of this should be in the competency of occupational health services.

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Cantor Cutiva, Lady Catherine. "Association between occupational voice use and occurrence of voice disorders: a meta-analysis." Areté 18, no. 2 (December 31, 2018): 1–10. http://dx.doi.org/10.33881/1657-2513.art.18201.

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Purpose: This meta-analysis has two aims: 1) to provide a quantitative assessment of the occurrence of voice disorders among different occupational voice users, 2) and to determine whether being an occupational voice user (teacher, broadcaster, call-center worker, etc.) is associated with an increased occurrence of voice disorders. Method: A random-effect meta-analysis of the available scientific literature was conducted on the occurrence of voice disorders among occupational voice users. Comprehensive literature searches were conducted using two computerized databases: PubMed/MEDLINE, and Scielo. As a measure of association, the odds ratio (OR) with corresponding 95% confidence interval (95% CI) was used. Heterogeneity was assessed by chi-square and I2 and draw in forest plots. Results: Voice disorders are related with occupational voice use independently of type of prevalence with a pool OR of 2.39 for current voice disorders, 1.88 for 12-months prevalence, and 2.43 for life-time and unspecified recall period. Heterogeneity test (I2) among these articles is 68% for current voice disorders, 0% for 12-months voice disorders, and 66% for life-time and unspecified recall period. Although around 70% of the total number of included publications assessed the occurrence of voice disorders among teachers as occupational voice users, an analysis per occupation was performed to identify possible influence of this factor in the occurrence of voice disorders. Studies that include just teachers as the group of occupational voice users (n=12) reported ORs ranging from 1.20 to 4.61. Heterogeneity test (I2) among these articles is 17%. Studies that include telemarketers, newsreaders, and sellers as the group of occupational voice users (n=6) reported ORs ranging from 0.85 when future vocal professionals were compared future non-vocal professionals to 4.58 when newsreaders were compared with non-newsreaders. Heterogeneity test (I2) among these articles is 40%. Conclusion: Occupational voice users have a higher likelihood of having voice disorders. Results of this meta-analysis show that teachers had a slightly lower likelihood (pool OR=1.95) than telemarketers, broadcasters, and sellers (pool OR=2.75) for having a voice disorder regardless the type of prevalence. Nevertheless, due the weak to moderate quality of the included studies, the results should be taken with caution.

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Cantor Cutiva, Lady Catherine. "Association Between Occupational Voice Use and Occurrence of Voice Disorders: A meta-analysis." Areté 18, no. 2 (December 31, 2018): 1–10. http://dx.doi.org/10.33881/1657-2513.art18201.

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Purpose: This meta-analysis has two aims: 1) to provide a quantitative assessment of the occurrence of voice disorders among different occupational voice users, 2) and to determine whether being an occupational voice user (teacher, broadcaster, call-center worker, etc.) is associated with an increased occurrence of voice disorders. Method: A random-effect meta-analysis of the available scientific literature was conducted on the occurrence of voice disorders among occupational voice users. Comprehensive literature searches were conducted using two computerized databases: PubMed/MEDLINE, and Scielo. As a measure of association, the odds ratio (OR) with corresponding 95% confidence interval (95% CI) was used. Heterogeneity was assessed by chi-square and I2 and draw in forest plots. Results: Voice disorders are related with occupational voice use independently of type of prevalence with a pool OR of 2.39 for current voice disorders, 1.88 for 12-months prevalence, and 2.43 for life-time and unspecified recall period. Heterogeneity test (I2) among these articles is 68% for current voice disorders, 0% for 12-months voice disorders, and 66% for life-time and unspecified recall period. Although around 70% of the total number of included publications assessed the occurrence of voice disorders among teachers as occupational voice users, an analysis per occupation was performed to identify possible influence of this factor in the occurrence of voice disorders. Studies that include just teachers as the group of occupational voice users (n=12) reported ORs ranging from 1.20 to 4.61. Heterogeneity test (I2) among these articles is 17%. Studies that include telemarketers, newsreaders, and sellers as the group of occupational voice users (n=6) reported ORs ranging from 0.85 when future vocal professionals were compared future non-vocal professionals to 4.58 when newsreaders were compared with non-newsreaders. Heterogeneity test (I2) among these articles is 40%. Conclusion: Occupational voice users have a higher likelihood of having voice disorders. Results of this meta-analysis show that teachers had a slightly lower likelihood (pool OR=1.95) than telemarketers, broadcasters, and sellers (pool OR=2.75) for having a voice disorder regardless the type of prevalence. Nevertheless, due the weak to moderate quality of the included studies, the results should be taken with caution.

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Salih, Darun Abdulrahman. "Dysphonia as a Speech Disorder." JOURNAL OF LANGUAGE STUDIES 8, no. 1 (January 31, 2024): 149–73. http://dx.doi.org/10.25130/lang.8.1.7.

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Oral communication is one of the most important forms of communication. It is through which the speaker directly delivers the content of the verbal message to the addressee. Usually, the existence of any defect or disorder in the speaker’s vocal cords may result in not delivering the message properly. One of the problems that cause such improper delivery of a verbal message is voice disorders, especially voice hoarseness (Dysphonia). Thus, this paper is entitled (Dysphonia as a Speech Disorder), which refers to the changes occurring in the speaker’s voice that are marked as disorders compared to the normal patterns. Such disorder occurs due to a defect in the elements needed for the process of voice production in a healthy person. This disorder is not confined to a specific age group. It can occur at any age, from childhood onwards, and it may be a temporary or chronic disorder. Speech disorders and their treatment methods are often approached in the domain of applied linguistics, and dysphonia is one of those voice disorders that have not received ample attention from researchers in general, and speech pathologists in particular, despite the steady increase in the number of cases day after day due to several factors including the noise pollution and crowdedness in cities, and some everyday duties that cause injury, which then can be an effective factor for this disorder to occur. Hence, this study is determined to introduce the most important modern trends in rehabilitating voice disorders and presenting methods for curing them.

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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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Gamberini, Lorna. "Reflux and voice disorders." Morecambe Bay Medical Journal 4, no. 10 (January 3, 2005): 288–89. http://dx.doi.org/10.48037/mbmj.v4i10.880.

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Lorna Gamberini is a Speech and Language Therapist with the Morecambe Bay Primary Care Trust. In this article she describes the possible links between dysphonia and reflux symptoms. It has been 'received wisdom' in her profession that there is an aetiological link, but this is a matter of debate with the medical profession. As part of her MSc in Advanced Clinical Studies (Dysphonia) at Newcastle University she has set out to look at theevidence base to support the concept of a link.

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

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Roy, Nelson, Diane M. Bless, and Dennis Heisey. "Personality and Voice Disorders." Journal of Speech, Language, and Hearing Research 43, no. 3 (June 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 personality differences. The disability hypothesis, which suggests that personality features and emotional maladjustment are solely a negative consequence of vocal disability, was not supported. Personality variables and their behavioral consequences may therefore contribute to FD and VN. Results are presented within the context of a dispositional theory offered by Roy and Bless (2000a).

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

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Roy, Nelson. "Personality and Voice Disorders." Perspectives on Voice and Voice Disorders 21, no. 1 (March 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 in the development, maintenance, and treatment of primary muscle tension dysphonia and vocal nodules.

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Donahue, Erin Nicole. "Working with voice disorders." Voice and Speech Review 9, no. 1 (January 2, 2015): 106–8. http://dx.doi.org/10.1080/23268263.2015.1022076.

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

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

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

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Journal articles on the topic 'Voice disorders'

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