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The Design of a Mobile System for Voice e-Assessment and Vocal Hygiene e-Training

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Interactive Mobile Communication Technologies and Learning (IMCL 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 725))

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Abstract

Voice assessment is a complicated process and requires high level of expertise. Any attempt of designing and developing a mobile system dealing with voice evaluation and vocal hygiene e-training has to overcome various difficulties. The aim of this study, is to investigate the design of a mobile system with the knowledge on early voice evaluation and vocal hygiene. The user will have feedback on his/her voice profile and hygiene and if necessary will be pointed to consult an appropriate clinician (i.e. ear nose throat physician, gastroenterologist, speech therapist, and psychologist). The methodology tool is based on expert systems. The system’s knowledge acquisition on voice assessment and hygiene is acquired by a combination of the literature, empirical data and interdisciplinary experts’ collaboration. The system includes voice processing and user’s voice self-perception providing findings and suggestions towards a better well-being.

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References

  1. Rosen, D.C., Sataloff, R.T.: Psychology of Voice Disorders. Singular, San Diego (1997)

    Google Scholar 

  2. Bruckert, L., Liénard, J.S., Lacroix, A., Kreutzer, M., Leboucher, G.: Women use voice parameters to assess men’s characteristics. Proc. R. Soc. Lond. B: Biol. Sci. 273(1582), 83–89 (2006)

    Article  Google Scholar 

  3. Markel, N.N., Meisels, M., Houck, J.E.: Judging personality from voice quality. J. Abnorm. Soc. Psychol. 69(4), 458 (1964)

    Article  Google Scholar 

  4. Markel, N.N., Bein, M.F., Phillis, J.A.: The relationship between words and tone-of-voice. Lang. Speech 16(1), 15–21 (1973)

    Article  Google Scholar 

  5. Gawda, B.: Neuroticism, extraversion, and paralinguistic expression. Psychol. Rep. 100(3), 721–726 (2007)

    Article  Google Scholar 

  6. Roy, N., Stemple, J., Merrill, R.M., Thomas, L.: Epidemiology of voice disorders in the elderly: preliminary findings. Laryngoscope 117(4), 628–633 (2007)

    Article  Google Scholar 

  7. Shipley, K.G., McAfee, J.G.: Assessment in Speech-Language Pathology: A Resource Manual. Nelson Education (2015)

    Google Scholar 

  8. Titze, I.R., Lemke, J., Montequin, D.: Populations in the US workforce who rely on voice as a primary tool of trade: a preliminary report. J. Voice 11(3), 254–259 (1997)

    Article  Google Scholar 

  9. McKinnon, D.H., McLeod, S., Reilly, S.: The prevalence of stuttering, voice, and speech-sound disorders in primary school students in Australia. Lang. Speech Hear. Serv. Sch. 38(1), 5–15 (2007)

    Article  Google Scholar 

  10. Simberg, S., Sala, E., Rönnemaa, A.M.: A comparison of the prevalence of vocal symptoms among teacher students and other university students. J. Voice 18(3), 363–368 (2004)

    Article  Google Scholar 

  11. Schneider, B., Bigenzahn, W.: Vocal risk factors for occupational voice disorders in female teaching students. Eur. Arch. Oto-Rhino-Laryngol. Head Neck 262(4), 272–276 (2005)

    Article  Google Scholar 

  12. Angelillo, I.F., Di Costanzo, B., Costa, G., Barillari, M.R., Barillari, U.: Epidemiological study on vocal disorders in paediatric age. J. Prev. Med. Hyg. 49(1), 1–5 (2008)

    Google Scholar 

  13. Shah, R.K., Woodnorth, G.H., Glynn, A., Nuss, R.C.: Pediatric vocal nodules: correlation with perceptual voice analysis. Int. J. Pediatr. Otorhinolaryngol. 69(7), 903–909 (2005)

    Article  Google Scholar 

  14. Carding, P.N., Roulstone, S., Northstone, K., ALSPAC Study Team: The prevalence of childhood dysphonia: a cross-sectional study. J. Voice 20(4), 623–630 (2006)

    Google Scholar 

  15. Abaza, M.M., Levy, S., Hawkshaw, M.J., Sataloff, R.T.: Effects of medications on the voice. Otolaryngol. Clin. North Am. 40(5), 1081–1090 (2007)

    Article  Google Scholar 

  16. Byeon, H.: Relationships among smoking, organic, and functional voice disorders in Korean general population. J. Voice 29(3), 312–316 (2015)

    Article  MathSciNet  Google Scholar 

  17. Colton, R.H., Casper, J.K., Leonard, R.: Understanding Voice Problems: A Physiological Perspective for Diagnosis and Treatment. Lippincott Williams & Wilkins, Philadelphia (2011)

    Google Scholar 

  18. Amir, O., Ashkenazi, O., Leibovitzh, T., Michael, O., Tavor, Y., Wolf, M.: Applying the Voice Handicap Index (VHI) to dysphonic and nondysphonic Hebrew speakers. J. Voice 20(2), 318–324 (2006)

    Article  Google Scholar 

  19. Cannizzaro, M., Harel, B., Reilly, N., Chappell, P., Snyder, P.J.: Voice acoustical measurement of the severity of major depression. Brain Cogn. 56(1), 30–35 (2004)

    Article  Google Scholar 

  20. Hashim, N.W., Wilkes, M., Salomon, R., Meggs, J., France, D.J.: Evaluation of voice acoustics as predictors of clinical depression scores. J. Voice 31(2), 256-e1 (2016)

    Article  Google Scholar 

  21. Roy, N., Bless, D.M., Heisey, D.: Personality and voice disorders: a multitrait-multidisorder analysis. J. Voice 14(4), 521–548 (2000)

    Article  Google Scholar 

  22. Beavan, V., Read, J., Cartwright, C.: The prevalence of voice-hearers in the general population: a literature review. J. Ment. Health 20(3), 281–292 (2011)

    Article  Google Scholar 

  23. Al-Sabbagh, G., Wo, J.M.: Supraesophageal manifestations of gastroesophageal reflux disease. In: Seminars in Gastrointestinal Disease, vol. 10, no. 3, pp. 113–119, July 1999

    Google Scholar 

  24. Toohill, R.J., Kuhn, J.C.: Role of refluxed acid in pathogenesis of laryngeal disorders. Am. J. Med. 103(5), 100S–106S (1997)

    Article  Google Scholar 

  25. Koufman, J.A., Wiener, G.J., Wu, W.C., Castell, D.O.: Reflux laryngitis and its sequelae: the diagnostic role of ambulatory 24-hour pH monitoring. J. Voice 2(1), 78–89 (1988)

    Article  Google Scholar 

  26. Ulualp, S.O., Toohill, R.J.: Laryngopharyngeal reflux: state of the art diagnosis and treatment. Otolaryngol. Clin. North Am. 33(4), 785–801 (2000)

    Article  Google Scholar 

  27. Havas, T.E., Priestley, J., Lowinger, D.S.: A management strategy for vocal process granulomas. Laryngoscope 109(2), 301–306 (1999)

    Article  Google Scholar 

  28. Koufman, J.A.: The otolaryngologic manifestations of gastroesophageal reflux disease (GERD): a clinical investigation of 225 patients using ambulatory 24-hour pH monitoring and an experimental investigation of the role of acid and pepsin in the development of laryngeal injury. Laryngoscope 101(4 Pt 2 Suppl. 53), 1–78 (1991)

    Google Scholar 

  29. Kuhn, J., Toohill, R.J., Ulualp, S.O., Kulpa, J., Hofmann, C., Arndorfer, R., Shaker, R.: Pharyngeal acid reflux events in patients with vocal cord nodules. Laryngoscope 108(8), 1146–1149 (1998)

    Article  Google Scholar 

  30. Ross, J.A., Noordzji, J.P., Woo, P.: Voice disorders in patients with suspected laryngo-pharyngeal reflux disease. J. Voice 12(1), 84–88 (1998)

    Article  Google Scholar 

  31. Ward, P.H., Hanson, D.G.: Reflux as an etiological factor of carcinoma of the laryngopharynx. Laryngoscope 98(11), 1195–1199 (1988)

    Article  Google Scholar 

  32. Loughlin, C.J., Koufman, J.A.: Paroxysmal laryngospasm secondary to gastroesophageal reflux. Laryngoscope 106(12), 1502–1505 (1996)

    Article  Google Scholar 

  33. Tasker, A., Dettmar, P.W., Panetti, M., Koufman, J.A., Birchall, J.P., Pearson, J.P.: Reflux of gastric juice and glue ear in children. Lancet 359(9305), 493 (2002)

    Article  Google Scholar 

  34. Halstead, L.A.: Role of gastroesophageal reflux in pediatric upper airway disorders. Otolaryngol.-Head Neck Surg. 120(2), 208–214 (1999)

    Article  Google Scholar 

  35. Little, J.P., Matthews, B.L., Glock, M.S., Koufman, J.A., Reboussin, D.M., Loughlin, C.J., McGuirt Jr., W.F.: Extraesophageal pediatric reflux: 24-hour double-probe pH monitoring of 222 children. Ann. Otol. Rhinol. Laryngol. Suppl. 169, 1–16 (1997)

    Google Scholar 

  36. Koufman, J.A., Amin, M.R., Panetti, M.: Prevalence of reflux in 113 consecutive patients with laryngeal and voice disorders. Otolaryngol. Head Neck Surg. 123(4), 385–388 (2000)

    Article  Google Scholar 

  37. Spantideas, N., Drosou, E., Karatsis, A., Assimakopoulos, D.: Voice disorders in the general Greek population and in patients with laryngopharyngeal reflux: prevalence and risk factors. J. Voice 29(3), 389-e27 (2015)

    Article  Google Scholar 

  38. Cohen, S.M., Dupont, W.D., Courey, M.S.: Quality-of-life impact of non-neoplastic voice disorders: a meta-analysis. Ann. Otol. Rhinol. Laryngol. 115(2), 128–134 (2006)

    Article  Google Scholar 

  39. Smith, E., Verdolini, K., Gray, S., Nichols, S., Lemke, J., Barkmeier-Kraemer, J.M., Heather, D., Hoffman, H.: Effect of voice disorders on quality of life. J. Med. Speech-Lang. Pathol. 4(4), 223–244 (1996)

    Google Scholar 

  40. Helidoni, M.E., Murry, T., Moschandreas, J., Lionis, C., Printza, A., Velegrakis, G.A.: Cross-cultural adaptation and validation of the voice handicap index into Greek. J. Voice 24(2), 221–227 (2010)

    Article  Google Scholar 

  41. Tafiadis, D., Chronopoulos, S.K., Siafaka, V., Drosos, K., Kosma, E.I., Toki, E.I., Ziavra, N.: Comparison of voice handicap index scores between female students of speech therapy and other health professions. J. Voice 31(5), 583–588 (2017)

    Article  Google Scholar 

  42. Spantideas, N., Drosou, E., Bougea, A., Assimakopoulos, D.: Laryngopharyngeal reflux disease in the Greek general population, prevalence and risk factors. BMC Ear Nose Throat Disord. 15(1), 7 (2015)

    Article  Google Scholar 

  43. American Speech Hearing Association. Voice Evaluation Template. http://www.asha.org/uploadedFiles/slp/healthcare/AATVoiceEvaluation.pdf. Accessed 14 Feb 2015

  44. Maier, A., Haderlein, T., Eysholdt, U., Rosanowski, F., Batliner, A., Schuster, M., Nöth, E.: PEAKS–a system for the automatic evaluation of voice and speech disorders. Speech Commun. 51(5), 425–437 (2009)

    Article  Google Scholar 

  45. Castaneda, C., Nalley, K., Mannion, C., Bhattacharyya, P., Blake, P., Pecora, A., Goy, A., Suh, K.S.: Clinical decision support systems for improving diagnostic accuracy and achieving precision medicine. J. Clin. Bioinform. 5(1), 4 (2015)

    Article  Google Scholar 

  46. Marchi, E., Ringeval, F., Schuller, B.: Voice-enabled assistive robots for handling autism spectrum conditions: an examination of the role of prosody. In: Neustein, A. (ed.) Speech and Automata in the Health Care, pp. 207–236. Walter de Gruyter GmbH & Co. KG (2014)

    Google Scholar 

  47. Maier, A., Haderlein, T., Stelzle, F., Nöth, E., Nkenke, E., Rosanowski, F., Schützenberger, A., Schuster, M.: Automatic speech recognition systems for the evaluation of voice and speech disorders in head and neck cancer. EURASIP J. Audio Speech Music Process. 2010(1), 926951 (2009)

    Article  Google Scholar 

  48. Martens, H., Van Nuffelen, G., De Bodt, M., Dekens, T., Latacz, L., Verhelst, W.: Automated assessment and treatment of speech rate and intonation in dysarthria. In: 2013 7th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), pp. 382–384. IEEE, May 2013

    Google Scholar 

  49. Gerosa, M., Giuliani, D., Narayanan, S., Potamianos, A.: A review of ASR technologies for children’s speech. In: Proceedings of the 2nd Workshop on Child, Computer and Interaction, p. 7. ACM, November 2009

    Google Scholar 

  50. Toki, E.I., Pange, J., Mikropoulos, T.A.: An online expert system for diagnostic assessment procedures on young children’s oral speech and language. Procedia Comput. Sci. 14, 428–437 (2012). https://doi.org/10.1016/j.procs.2012.10.049

    Article  Google Scholar 

  51. Toki, E.I., Pange, J.: The design of an expert system for the e-assessment and treatment plan of preschoolers’ speech and language disorders. Procedia – Soc. Behav. Sci. 9, 815–819 (2010). https://doi.org/10.1016/j.sbspro.2010.12.240. Elsevier

    Article  Google Scholar 

  52. Guiberson, M., Rodríguez, B.L., Zajacova, A.: Telemedicine and e-health. 21(9), 714–720 (2015). https://doi.org/10.1089/tmj.2014.0190

  53. Tafiadis, D., Tatsis, G., Ziavra, N., Toki, E.I.: Voice data on female smokers: coherence between the voice handicap index and acoustic voice parameters. AIMS Med. Sci. 4(2), 151–163 (2017)

    Article  Google Scholar 

  54. Tafiadis, D., Toki, E.I., Ziavra, N.: Deviations of Voice Characteristics in Female Speech Therapy Students that Smoke Using Dr. Speech. J. Commun. Disord. Assist. Technol. 1, 1–18 (2017)

    Google Scholar 

  55. Vlahavas, I., Kefalas, P., Bassiliades, N., Kokkoras, F., Sakellariou, Ι.: Artificial Intelligence, 3rd edn. [in Greek: Τεχνητή Νοημοσύνη]. University of Macedonia Press, Thessaloniki (2011)

    Google Scholar 

  56. Roy, N., Barkmeier-Kraemer, J., Eadie, T., Sivasankar, M.P., Mehta, D., Paul, D., Hillman, R.: Evidence-based clinical voice assessment: a systematic review. Am. J. Speech-Lang. Pathol. 22(2), 212–226 (2013)

    Article  Google Scholar 

  57. Verdolini, K., Rosen, C.A., Rosen, C.A., Branski, R.C. (eds.): Classification Manual for Voice Disorders-I. Psychology Press (2014)

    Google Scholar 

  58. American Speech Hearing Association. Voice Disorders (2016). http://www.asha.org/PRPSpecificTopic.aspx?folderid=8589942600&section=Assessment. Accessed 11 Sep 2017

  59. Demirci, R.: Fuzzy adaptive anisotropic filter for medical images. Expert Syst. 27, 219–229 (2010). https://doi.org/10.1111/j.1468-0394.2010.00525.x

    Article  Google Scholar 

  60. Pange, J., Makris, P.: Informatics for Preschool Teachers. Publication of University of Ioannina, Greece (2000)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Laboratory of Audiology, Neurotology and Neurosciences, Department of Speech and Language Therapy, School of Health and Welfare, Technological Educational Institute (TEI) of Epirus, Ioannina, Greece

    Eugenia I. Toki, Konstantinos Plachouras, Nausica Ziavra & Vassiliki Siafaka

  2. Department of Speech and Language Therapy, School of Health and Welfare, Technological Educational Institute (TEI) of Epirus, Ioannina, Greece

    Georgios Tatsis & Dionysios Tafiadis

  3. Department of Computer Engineering, Faculty of Applied Technology, Technological Educational Institute (TEI) of Epirus, Arta, Greece

    Spyridon K. Chronopoulos

Authors
  1. Eugenia I. Toki
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  2. Konstantinos Plachouras
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  3. Georgios Tatsis
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  4. Spyridon K. Chronopoulos
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  5. Dionysios Tafiadis
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  6. Nausica Ziavra
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  7. Vassiliki Siafaka
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Correspondence to Eugenia I. Toki .

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Editors and Affiliations

  1. Carinthia University of Applied Sciences, Villach, Austria

    Michael E. Auer

  2. Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece

    Thrasyvoulos Tsiatsos

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Toki, E.I. et al. (2018). The Design of a Mobile System for Voice e-Assessment and Vocal Hygiene e-Training. In: Auer, M., Tsiatsos, T. (eds) Interactive Mobile Communication Technologies and Learning. IMCL 2017. Advances in Intelligent Systems and Computing, vol 725. Springer, Cham. https://doi.org/10.1007/978-3-319-75175-7_18

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  • DOI: https://doi.org/10.1007/978-3-319-75175-7_18

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