Academic literature on the topic 'Voice disorders Voice'

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Journal articles on the topic "Voice disorders Voice"

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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 (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 (2013): 071–79. http://dx.doi.org/10.1055/s-0033-1342978.

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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Voice disorders Voice"

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Chan, Shuk-kwan May. "Effectiveness of a multimedia-based voice therapy program for teachers with voice disorders." Click to view the E-thesis via HKUTO, 2008. http://sunzi.lib.hku.hk/hkuto/record/B40987590.

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Arnold, Amanda, Lisa Phillips, Lindsay Pickler, Whitney White, Amanda McCamey, and Christopher McCrea. "Voice Onset Time as a Clinical Indicator of Hypofunctional Voice Disorders." Digital Commons @ East Tennessee State University, 2008. https://dc.etsu.edu/etsu-works/1960.

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The purpose of this study was to measure and compare the voice onset times (VOTs) of healthy individuals using a normal and breathy voice in an effort to determine if VOT can be used as a noninvasive clinical indicator of laryngeal function. Recordings were made of 20 adults between the ages of 20-48 with normal laryngeal function, each using a normal (Group 1) and breathy voice (Group 2). The participants’ productions were designed and collected in such a manner to control for speaking rate, vowel context, pitch, and loudness; all of which have been shown to influence VOT. A mixed analyses of
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Ng, Ting-yee. "A survey of voice patients' satisfaction with and expectation of the speech therapy services." Click to view the E-thesis via HKUTO, 1997. http://sunzi.lib.hku.hk/hkuto/record/B36209508.

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Thesis (B.Sc)--University of Hong Kong, 1997.<br>"A dissertation submitted in partial fulfilment of the requirements for the Bachelor of Science (Speech and Hearing Sciences), The University of Hong Kong, April 30, 1997." Also available in print.
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Ma, Pui-man Estella. "Assessing voice activity and participation implication of clinical management in voice disorders /." Click to view the E-thesis via HKUTO, 1999. http://sunzi.lib.hku.hk/hkuto/record/B36210031.

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Thesis (B.Sc)--University of Hong Kong, 1999.<br>"A dissertation submitted in partial fulfilment of the requirements for the Bachelor of Science (Speech and Hearing Sciences), The University of Hong Kong, April 30, 1999." Also available in print.
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Chan, Shuk-kwan May, and 陳淑君. "Effectiveness of a multimedia-based voice therapy program for teacherswith voice disorders." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2008. http://hub.hku.hk/bib/B40987590.

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Knight, Juanita M. "Effects of Bulimia Nervosa on the Voice: A Guide for Voice Teachers." Scholarly Repository, 2011. http://scholarlyrepository.miami.edu/oa_dissertations/537.

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The purpose of this essay is to compile a list of symptoms to aid voice teachers in the early detection of vocal problems resulting from bulimic behavior. Bulimia nervosa (BN) is an eating disorder characterized by bingeing and purging and has a high rate of occurrence among the college population. Entertainers form a high risk group for development of BN yet the effects of BN on the voice are largely ignored in vocal literature. The study begins with a literature review which links several factors that can influence the development of BN with "the singer’s personality." The two main character
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Wong, Siu-ping Elsa. "Efficacy of a vocal hygiene program in hyperfunctional laryngeal disorders." Click to view the E-thesis via HKUTO, 1997. http://sunzi.lib.hku.hk/hkuto/record/B36209545.

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Thesis (B.Sc)--University of Hong Kong, 1997.<br>"A dissertation submitted in partial fulfilment of the requirements for the Bachelor of Science (Speech and Hearing Sciences), The University of Hong Kong, April 30, 1997." Booklet attached with dissertation. Also available in print.
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Chang, Wing-yin Maureen. "Perceptual and acoustic differences between aging voice and dysphonic voice." Click to view the E-thesis via HKUTO, 2001. http://sunzi.lib.hku.hk/hkuto/record/B36207810.

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Thesis (B.Sc)--University of Hong Kong, 2001.<br>"A dissertation submitted in partial fulfilment of the requirements for the Bachelor of Science (Speech and Hearing Sciences), The University of Hong Kong, May 4, 2001. Also available in print.
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Smith, Belinda Andrews. "Voice disorders : a handbook for the voice teacher examining the diagnosis, treatment, and rehabilitation of the damaged singing voice." The Ohio State University, 1992. http://rave.ohiolink.edu/etdc/view?acc_num=osu1241190387.

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Higgins, Kristen P. "The Prevalence of Voice Disorders in University Teaching Faculty." Fogler Library, University of Maine, 2006. http://www.library.umaine.edu/theses/pdf/HigginsKP2006.pdf.

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Books on the topic "Voice disorders Voice"

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Sapienza, Christine M. Voice disorders. Plural, 2008.

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Bari, Hoffman Ruddy, ed. Voice disorders. 2nd ed. Plural Pub., 2013.

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M, Bless Diane, ed. Clinical voice disorders. 4th ed. Thieme, 2009.

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L, Greene Margaret C., ed. Disorders of voice. PRO-ED Inc., 1986.

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Sies, Luther F. Voice and voice disorders: A handbook for clinicians. Thomas, 1987.

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Boone, Daniel R. The voice and voice therapy. 7th ed. Pearson/Allyn & Bacon, 2005.

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Martin, Stephanie. Working with voice disorders. Speechmark, 2003.

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Martin, Stephanie. Working with voice disorders. Winslow, 2000.

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Thayer, Sataloff Robert, ed. Psychology of voice disorders. Singular Pub. Group, 1997.

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Martin, Stephanie. Working with Voice Disorders. Routledge, 2020. http://dx.doi.org/10.4324/9780429318221.

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Book chapters on the topic "Voice disorders Voice"

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Dhillon, Ramindar S., and James W. Fairley. "Voice disorders." In Multiple-choice Questions in Otolaryngology. Palgrave Macmillan UK, 1989. http://dx.doi.org/10.1007/978-1-349-10805-3_228.

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Cummings, Louise. "Disorders of Voice." In Communication Disorders. Macmillan Education UK, 2014. http://dx.doi.org/10.1007/978-1-137-40013-0_7.

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Hutchins, Tiffany, Giacomo Vivanti, Natasa Mateljevic, et al. "Monotonic Voice." In Encyclopedia of Autism Spectrum Disorders. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_100895.

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Morris, Richard, and Archie Bernard Harmon. "Describing Voice Disorders." In The Handbook of Language and Speech Disorders. Wiley-Blackwell, 2010. http://dx.doi.org/10.1002/9781444318975.ch20.

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Milloy, Nancy R. "Developmental voice disorders." In Breakdown of Speech. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-3390-4_6.

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Bradley, Patrick J. "Voice Disorders: Classification." In Otorhinolaryngology, Head and Neck Surgery. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68940-9_60.

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Hartley, Ben, and David M. Wynne. "Paediatric Voice Disorders." In Scott-Brown’s Otorhinolaryngology Head and Neck Surgery. CRC Press, 2018. http://dx.doi.org/10.1201/9780203731017-33.

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Stoicheff, Margaret. "Post-radiotherapy voice." In Voice Disorders and their Management. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-2861-0_17.

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Lewis, Moira, Courtenay Norbury, Rhiannon Luyster, et al. "Loss of Voice." In Encyclopedia of Autism Spectrum Disorders. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_100830.

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Campbell, Daniel, Corey Ray-Subramanian, Winifred Schultz-Krohn, et al. "Tone of Voice." In Encyclopedia of Autism Spectrum Disorders. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_101459.

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Conference papers on the topic "Voice disorders Voice"

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Klodiana, Z., and O. Tonuzi. "Voice disorders in opera singers, Tirana." In Abstract- und Posterband – 90. Jahresversammlung der Deutschen Gesellschaft für HNO-Heilkunde, Kopf- und Hals-Chirurgie e.V., Bonn – Digitalisierung in der HNO-Heilkunde. Georg Thieme Verlag KG, 2019. http://dx.doi.org/10.1055/s-0039-1686608.

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Dubey, Saurav, Arash Mahnan, and Jürgen Konczak. "Real-Time Voice Activity Detection Using Neck-Mounted Accelerometers for Controlling a Wearable Vibration Device to Treat Speech Impairment." In 2020 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dmd2020-9081.

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Abstract Speech analysis using microphones can be problematic for Voice Activity Detection (VAD) in the presence of background noise. This study explored the use of wearable accelerometers instead of microphones. We assessed if accelerometers placed on the neck can be part of a VAD system embedded in a wearable collar-like device that delivers vibro-tactile stimulation (VTS) to the larynx during speech as a therapy for patients with the voice disorder spasmodic dysphonia. Specifically, we aimed to a) find the ideal location for placing accelerometers to the neck, and b) develop a VAD algorithm
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Borovikova, Darya V., Vladimir K. Makukha, and Anatoly E. Tsvetkov. "Comparative analysis of different Voice Coefficient variations for children's voice disorders detection." In 2016 13th International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE). IEEE, 2016. http://dx.doi.org/10.1109/apeie.2016.7802193.

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Grzybowska, Joanna, and Maciej Klaczynski. "Computer-assisted HFCC-based learning system for people with speech sound disorders." In 2014 XXII Annual Pacific Voice Conference (PVC). IEEE, 2014. http://dx.doi.org/10.1109/pvc.2014.6845423.

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Martin, Jose Francisco, Raquel Fernandez-Ramos, Jorge Romero-Sanchez, and Francisco Rios. "Signals voice biofeedback for speech fluency disorders." In Microtechnologies for the New Millennium 2003, edited by Angel Rodriguez-Vazquez, Derek Abbott, and Ricardo Carmona. SPIE, 2003. http://dx.doi.org/10.1117/12.499047.

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Salhi, Lotfi, Talbi Mourad, and Adnene Cherif. "Voice disorders classification using multilayer neural network." In 2008 2nd International Conference on Signals, Circuits and Systems (SCS). IEEE, 2008. http://dx.doi.org/10.1109/icscs.2008.4746953.

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Vitásková, Kateřina, Tereza Kavková, and Kateřina Jehličková. "VOICE DISORDERS IN TEACHERS AS VOICE PROFFESIONALS - THE RESEARCH FINDINGS FROM ELEMENTARY SCHOOLS." In 10th annual International Conference of Education, Research and Innovation. IATED, 2017. http://dx.doi.org/10.21125/iceri.2017.2396.

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Naikare, Kshipra, J. H. Nirmal, and Nikunj Lad. "Classification of voice disorders using i-Vector analysis." In 2018 International Conference on Communication information and Computing Technology (ICCICT). IEEE, 2018. http://dx.doi.org/10.1109/iccict.2018.8325877.

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Adiga, Nagaraj, Vikram C.M., Keerthi Pullela, and S. R. Mahadeva Prasanna. "Zero Frequency Filter Based Analysis of Voice Disorders." In Interspeech 2017. ISCA, 2017. http://dx.doi.org/10.21437/interspeech.2017-589.

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Eskidere, Omer, Omer Aktas, and Cevat Unal. "Voice disorders identification using discrete wavelet based features." In 2015 Medical Technologies National Conference (TIPTEKNO). IEEE, 2015. http://dx.doi.org/10.1109/tiptekno.2015.7374549.

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Reports on the topic "Voice disorders Voice"

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Cross, Judith. Attitudes of otolaryngologists towards speech pathologists working with voice disordered clients. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.5471.

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