Measuring the Dysphonia Severity Index (DSI) in the Program Praat

[en] Background. The original Dysphonia Severity Index (ie, DSI) weighs and combines four voice markers in a single number to size dysphonia gradation in the clinic: percent jitter (from Multi-Dimensional Voice Program; KayPENTAX Corp., Montvale, NJ), softest intensity and highest fundamental frequency (both from Voice Range Profile; KayPENTAX Corp.), and maximum phonation time. To be more generally applied, however, implementation of DSI in the program Praat (Paul Boersma and David Weenink, Institute for Phonetic Sciences, University of Amsterdam, The Netherlands) would be advantageous for all voice clinicians. The presented project was therefore designed (1) to develop such a Praat application and (b) to test its concurrent validity. Methods. The four voice markers for the original DSI, as well as ten additional voice markers in Praat, were ad- ministered on a total of 49 subjects in three different clinical voice centers. A crossover research design was implemented to counterbalance for possible exercise effects. First, stepwise multiple linear regression was applied to build a statis- tical model with the best combination of Praat predictors for the original DSI. Second, correlation statistics were applied to compare Praat’s DSI with the original DSI. Results. Both DSI versions correlated strongly. A custom script was therefore written for automated DSI determina- tion in Praat. Conclusion. With this script, every voice clinician can easily determine DSI in the Praat program. Key Words:

Disciplines :

Otolaryngology

Author, co-author :

Maryn, Youri

Morsomme, Dominique ; Université de Liège - ULiège > Département de Logopédie > Logopédie des troubles de la voix

De Bodt, Marc

Language :

English

Title :

Measuring the Dysphonia Severity Index (DSI) in the Program Praat

Publication date :

2017

Journal title :

Journal of Voice

ISSN :

0892-1997

eISSN :

1873-4588

Publisher :

Mosby, St Louis, United States - Missouri

Volume :

Issue :

Pages :

52-58

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBi :

since 19 December 2017

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Bibliography

Wuyts, F.L., De Bodt, M.S., Molenberghs, G., et al. The Dysphonia Severity Index: an objective measure of vocal quality based on a multiparameter approach. J Speech Lang Hear Res 43 (2000), 769–809.
Aichinger, P., Feichter, F., Aichstill, B., et al. Inter-device reliability of DSI measurement. Logop Phoniatr Vocol 37 (2012), 167–173.
Hakkesteegt, M., Brocaar, M., Wieringa, M., et al. Influence of age and gender on the Dysphonia Severity Index. A study of normative values. Folia Phoniatr Logop 58 (2006), 264–273.
Awan, S.N., Ensslen, A.J., A comparison of trained and untrained vocalists on the Dysphonia Severity Index. J Voice 24 (2010), 661–666.
Jayakumar, T., Savithri, S., Effect of geographical and ethnic variation on Dysphonia Severity Index: a study of Indian population. J Voice 26 (2012), e11–e16.
Hussein Gaber, A.G., Liang, F.-Y., Yang, J.-S., et al. Correlation among the Dysphonia Severity Index (DSI), the RBH voice perceptual evaluation, and minimum glottal area in female patients with vocal fold nodules. J Voice 28 (2014), 20–23.
Nemr, K., Simões-Zenari, M., de Souza, G.S., et al. Correlation of the Dysphonia Severity Index (DSI), Consensus Auditory-Perceptual Evaluation of Voice (CAPE-V), and gender in Brazilians with and without voice disorders. J Voice 30 (2016), 765.e7–765.e11.
Kempster, G.B., Gerratt, B.R., Verdolini Abbott, K., et al. Consensus Auditory-Perceptual Evaluation of Voice: development of a standardized clinical protocol. Am J Speech Lang Pathol 18 (2009), 124–132.
Hakkesteegt, M., Brocaar, M., Wieringa, M., et al. The relationship between perceptual evaluation and objective multiparametric evaluation of dysphonia severity. J Voice 22 (2008), 138–145.
Pebbili, G.K., Kidwai, J., Shabnam, S., Dysphonia Severity Index in typically developing Indian children. J Voice 31 (2017), 125.e1–125.e6.
Awan, S.N., Miesemer, S.A., Nicolia, T.A., An examination of intrasubject variability on the Dysphonia Severity Index. J Voice 26 (2012), 814.e21–814.e25.
Maryn, Y., Corthals, P., De Bodt, M., et al. Perturbation measures of voice: a comparative study between multi-dimensional voice program and Praat. Folia Phoniatr Logop 61 (2009), 217–226.
Maryn, Y., Zarowski, A., Calibration of clinical audio recording and analysis systems for sound intensity measurement. Am J Speech Lang Pathol 24 (2015), 608–618.
Bosman, A., Speech perception by the hearing impaired. PhD thesis; Utrecht, The Netherlands: University of Utrecht, 1989.
Bosman, A., Wouters, J., Damman, W., Realisatie van een CD voor spraakaudiometrie in Vlaanderen [Realization of a CD for speech audiometry in Flanders]. Tijdschr Logop Audiol 9 (1995), 218–225.
Howard, D.M., Murphy, D.T., Voice Science, Acoustics and Recording. 2008, Plural Publishing Inc., San Diego, CA.
Flament, E., Roels, S., Maryn, Y., De invloed van aanmoediging bij automatische fonetografie [The influence of encouragement on automatic phonetography]. Bachelor thesis; Bruges, Belgium: Katholieke Hogeschool Brugge-Oostende, 2005.
Van Lierde, K., Claeys, S., De Bodt, M., et al. Long-term outcome of hyperfunctional voice disorders based on a multiparameter approach. J Voice 21 (2007), 179–188.
Van Lierde, K., De Bodt, M., D'haeseleer, E., et al. The treatment of muscle tension dysphonia: a comparison of two treatment techniques by means of an objective multiparameter approach. J Voice 24 (2010), 294–301.
D'haeseleer, E., Claeys, S., Van Lierde, K., The effectiveness of manual circumlaryngeal therapy in future elite vocal performers: a pilot study. Laryngoscope 123 (2013), 1937–1941, 10.1002/lary.24050.
Meerschman, I., D'haeseleer, E., De Cock, E., et al. Effectiveness of chewing technique on the phonation of female speech-language pathology students: a pilot study. J Voice 30 (2015), 574–578, 10.1016/j.jvoice.2015.06.016.
Meerschman, I., Bettens, K., Dejagere, S., et al. Effect of two isolated vocal-facilitating techniques chant talk and pitch inflections on the phonation of female speech-language pathology students: a pilot study. J Voice 30 (2015), 771.e17–771.e25, 10.1016/j.jvoice.2015.11.007.
De Bodt, M., Heylen, L., Mertens, F., et al. Stemstoornissen. Handboek voor de Klinische Praktijk [Voice disorders. Handbook for clinical practice]. 6th ed, 2015, Garant, Antwerp, Belgium.
Trauwaen, I., Caelenberghe, E., Verstraete, J., et al. Normatieve studie inzake akoestische stemkwaliteit [Normative study regarding acoustic voice quality]. Bachelor thesis; Bruges, Belgium: Katholieke Hogeschool Brugge-Oostende, 2009.
Bielamowicz, S., Kreiman, J., Gerratt, B.R., et al. Comparison of voice analysis systems for perturbation measurement. J Speech Hear Res 39 (1993), 126–134.
Karnell, M.P., Hall, K.D., Landahl, K.L., Comparison of fundamental frequency and perturbation measurements among three analysis systems. J Voice 9 (1995), 383–393.
Carson, C.P., Ingrisano, D.R.S., Eggleston, K.D., The effect of noise on computer-aided measures of voice: a comparison of CSpeechSP and the multi-dimensional voice program software using the CSL 4300B module and multi-speech for windows. J Voice 17 (2003), 12–20, 10.1016/S0892-1997(03)00031-6.
Smits, I., Ceuppens, P., De Bodt, M.S., Comparative study of acoustic voice measurements by means of Dr. Speech and Computerized Speech Lab. J Voice 19 (2005), 187–196.
Amir, O., Wolf, M., Amir, N., A clinical comparison between two acoustic analysis softwares: MDVP and Praat. Biomed Signal Process Control 4 (2009), 202–205.
Mat Baki, M., Wood, G., Alston, M., et al. Reliability of OperaVOX against Multidimensional Voice Program (MDVP). Clin Otolaryngol 40 (2014), 22–28.
Maryn, Y., Ysenbaert, F., Zarowski, A., et al. Mobile communication devices, ambient noise, and acoustic voice measures. J Voice, 2016, 10.1016/j.jvoice.2016.07.023 Submitted.
Oğuz, H., Kiliç, M.A., Şafak, M.A., Comparison of results in two acoustic analysis programs: Praat and MDVP. Turk J Med Sci 41 (2011), 835–841.