Relevant bibliographies by topics / Voice disorders

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Voice disorders'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 July 2024

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Journal articles on the topic "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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Dissertations / Theses on the topic "Voice disorders"

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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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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.
"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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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 variance showed that hypofunctional productions demonstrated longer VOTs across all stop consonants when compared to normal productions. Within the stops, a significant difference between the voiced and voiceless stops was noted, although no gender differences were found. It was concluded that VOT can be used as an indirect clinical indicator of laryngeal function.
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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.
"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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Ballone, Haley, Alyssa Farris, Natalie Foulks, Savannah Richardson, and Chaya Nanjundeswaran. "Listener Attitudes Towards Individuals with Voice Disorders." Digital Commons @ East Tennessee State University, 2019. https://dc.etsu.edu/asrf/2019/schedule/226.

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Objective: Voice defines a person’s identity. Teachers are professional voice users and about 10-18% experience a voice disorder at any given time. Voice disorder negatively impacts listener perceptions. The current study aims to identify student attitudes towards teachers with voice disorders. Specifically, the aims include: (a) if a voice disorder will lend to a negative perception towards individuals with voice problems, and (b) if the perception of individuals with a voice disorder will be different between a teacher and a non-teacher. Methods: Six voice samples, each lasting a minute long was obtained for three different female speakers to represent non-dysphonic, mildly dysphonic and a moderately severe dysphonic voice. Twenty-six high school students (including males- 4, females- 22) in the 9th and 10th grades served as participants. All participants listened to two different sets of voice recordings. During each set, participants listened to three randomized voice types. For the second set of recordings, the participants were asked to imagine the voice was that of their teacher. For each voice recording in each set, the participants completed a semantic differential questionnaire to rate the personality of the speaker based on the voice they heard. The semantic differential questionnaire included 12 differential rates on a 100mm visual analog scale. Additionally, for the second set of recordings, participants completed a series of open-ended questions to assess the ease of listening to and the perceived approachability of the voice. Results and Conclusions: Descriptive data analysis indicated a general difference in listener perceptions between a mild and moderately severe voice sample. Participants perceived the moderately severe voice sample to be a sick, boring, sad, quiet and scared irrespective of a teacher or non-teacher. The data were consistent for the moderately severe sample on open-ended questions as well. Participants reported they would not feel comfortable approaching the teacher or asking the teacher to repeat information; additionally, the students reported the sample as difficult to listen to. Preliminary descriptive analysis of the data revealed that the teachers’ voice quality influences students’ perceptions of their teacher. Data from this study can lead to identifying appropriate measures in the preventive care of a teacher’s voice.
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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.
"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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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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Nelson, Wendy Jill. "Acoustic, physiologic, and aerodynamic effects of the clinical stimulation technique "tongue protrusion/i/" /." abstract and full text PDF (UNR users only), 1998. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1389835.

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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 traits that appear most frequently are perfectionism and anxiety. The study continues with a narrative presentation of interviews by the author with three voice specialists in different fields of voice research and treatment. The research questions on which the interview portion of the study were based are: 1) Are otolaryngologists seeing an increase in vocal problems associated with eating disorders?; 2) Is there a belief among voice specialists that singer-actors are a high risk group for the development of eating disorders?; 3) What vocal symptoms should voice teachers watch and listen for if they suspect a student is bulimic?; 4) How should the voice teacher approach the recommendation of treatment, care, and use of the bulimic voice? This portion of the paper includes a clear and concise list of symptoms associated with BN that are easily identifiable by sight or sound. The paper concludes with a summary of the study results, suggestions for voice teachers training singers with the disorder, and ideas for further research.
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Books on the topic "Voice disorders"

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Sapienza, Christine M. Voice disorders. San Diego: Plural, 2008.

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

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

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

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Hoffman, Ruddy Bari, ed. Voice disorders workbook. San Diego [Calif.]: Plural Publishing, 2010.

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

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Martin, Stephanie. Working with Voice Disorders. Third edition. | Abingdon, Oxon; New York, NY: Routledge, [2021] | Series: Working with: Routledge, 2020. http://dx.doi.org/10.4324/9780429318221.

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Martin, Stephanie. Working with voice disorders. Bicester, UK: Winslow, 2000.

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

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

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Book chapters on the topic "Voice disorders"

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Dhillon, Ramindar S., and James W. Fairley. "Voice disorders." In Multiple-choice Questions in Otolaryngology, 150–51. London: 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, 127–51. London: Macmillan Education UK, 2014. http://dx.doi.org/10.1007/978-1-137-40013-0_7.

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Bradley, Patrick J. "Voice Disorders: Classification." In Otorhinolaryngology, Head and Neck Surgery, 555–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68940-9_60.

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Milloy, Nancy R. "Developmental voice disorders." In Breakdown of Speech, 83–97. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4899-3390-4_6.

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Morris, Richard, and Archie Bernard Harmon. "Describing Voice Disorders." In The Handbook of Language and Speech Disorders, 455–73. Oxford, UK: Wiley-Blackwell, 2010. http://dx.doi.org/10.1002/9781444318975.ch20.

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Hartley, Ben, and David M. Wynne. "Paediatric Voice Disorders." In Scott-Brown’s Otorhinolaryngology Head and Neck Surgery, 377–83. Eighth edition. | Boca Raton : CRC Press, [2018] | Preceded by Scott-Brown’s otorhinolaryngology, head and neck surgery.: CRC Press, 2018. http://dx.doi.org/10.1201/9780203731017-33.

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Andrews, Carolyn. "“Doing” Voice Therapy." In Navigating Voice Disorders, 21–61. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003245452-3.

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Hutchins, Tiffany, Giacomo Vivanti, Natasa Mateljevic, Roger J. Jou, Frederick Shic, Lauren Cornew, Timothy P. L. Roberts, et al. "Monotonic Voice." In Encyclopedia of Autism Spectrum Disorders, 1899. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_100895.

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Andrews, Carolyn. "Management." In Navigating Voice Disorders, 86–121. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003245452-5.

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Andrews, Carolyn. "Introduction." In Navigating Voice Disorders, 1–11. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003245452-1.

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Conference papers on the topic "Voice disorders"

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

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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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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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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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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 that detects the onset and offset of speech. Six healthy adult participants (M/F = 3/3, age = 26 (5.1)) vocalized 20 sample sentences with and without VTS at three neck locations: 1) thyroid cartilage, 2) sterno-cleidomastoid, and 3) posterior neck above C7. Based on time-synchronized acceleration and audio signals, VAD algorithm identified the Number of Onsets of Speech and Total Time Voiced. The thyroid cartilage attachment location had over 90% accuracy detecting speech in both measures. The average accuracy of the sternocleidomastoid and C7 locations were below 75% and 15% respectively. VAD accuracy decreased with the presence of VTS trials at all locations. We conclude that accelerometer signals due to tissue motion at thyroid cartilage are most suitable for real-time VAD. These findings support the feasibility of accelerometer-based voice detection for the use in medical devices that target speech and voice disorders.
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Reports on the topic "Voice disorders"

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

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