Precisión diagnóstica del pico cepstral de mayor prominencia en el cepstrum suavizado (CPPS) en la detección de la disfonía en español

  1. Jonathan Delgado Hernández
  2. Nieves María León Gómez 1
  3. Alejandra Jiménez Álvarez 1
  1. 1 Hospital Universitario de Canarias
    info

    Hospital Universitario de Canarias

    San Cristóbal de La Laguna, España

    ROR https://ror.org/05qndj312

Journal:
Loquens : revista española de ciencias del habla

ISSN: 2386-2637

Year of publication: 2019

Issue: 6

Pages: 2

Type: Article

DOI: 10.3989/LOQUENS.2019.058 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Loquens : revista española de ciencias del habla

Metrics

Cited by

  • Scopus Cited by: 4 (07-02-2024)
  • Web of Science Cited by: 2 (19-12-2023)
  • Dimensions Cited by: 3 (21-01-2024)

SCImago Journal Rank

  • Year 2019
  • SJR Journal Impact: 0.114
  • Best Quartile: Q3
  • Area: Linguistics and Language Quartile: Q3 Rank in area: 631/1150
  • Area: Communication Quartile: Q4 Rank in area: 355/498
  • Area: Speech and Hearing Quartile: Q4 Rank in area: 56/66

Índice Dialnet de Revistas

  • Year 2019
  • Journal Impact: 0.480
  • Field: LINGÜÍSTICA Quartile: C1 Rank in field: 4/70
  • Field: FILOLOGÍAS Quartile: C1 Rank in field: 6/328

CIRC

  • Social Sciences: C
  • Human Sciences: B

Scopus CiteScore

  • Year 2019
  • CiteScore of the Journal : 0.1
  • Area: Linguistics and Language Percentile: 22
  • Area: Communication Percentile: 13
  • Area: Speech and Hearing Percentile: 7

Journal Citation Indicator (JCI)

  • Year 2019
  • Journal Citation Indicator (JCI): 0.06
  • Best Quartile: Q4
  • Area: LINGUISTICS Quartile: Q4 Rank in area: 258/263

Dimensions

(Data updated as of 21-01-2024)
  • Total citations: 3
  • Recent citations (2 years): 2
  • Field Citation Ratio (FCR): 2.94

Abstract

The smoothed cepstral peak prominence (CPPS) is an acoustic measure that can be calcu-lated in both sustained vowels and continuous speech. The goal of this work is to find out the diagnostic accuracy of CPPS in the detection of dysphonia in Spanish.In this study 136 subjects with dysphonia and 47 healthy subjects participated. For each subject a sustained vowel and the reading of three phonetically balanced sentences were recorded. The CPPS was calculated with Praat using its default configuration (configuration 1), and also with the one used in the calculation of the Acoustic Voice Quality Index (configuration 2). Five experts perceptively assessed the voice of the subjects in the sample by means of the GRABS scale.The CPPS has a great power of discrimination between the normal and the pathological voice, whether it is calcu-lated from the sustained vowel /a/ (AROC[config. 1] = 0.863 and AROC[config. 2] = 0.841) or whether it is calculated from the sentences (AROC[config. 1] = 0.884 and AROC[config. 2] = 0.866).The results confirm that CPPS is a valid acoustic measurement to detect dysphonia in the Spanish language.

Bibliographic References

  • Awan, S. N. (2008). Instrumental analysis of phonation. En M. J. Ball, M. R. Perkins, N. Müller y S. Howard (Eds.), The handbook of clinical linguistics (p. 347). Oxford: Blackwell.
  • Awan, S. N., y Roy, N. (2006). Toward the development of an objective index of dysphonia severity: A four-factor acoustic model. Clinical Linguistics & Phonetics, 20, 35-49. https://doi.org/10.1080/02699200400008353 PMid:16393797
  • Balasubramanium, R. K., Bhat, J. S., Fahim III, S., y Raju III, R. (2011). Cepstral analysis of voice in unilateral adductor vocal fold palsy. Journal of Voice, 25(3), 326-329. https://doi.org/10.1016/j.jvoice.2009.12.010 PMid:20346619
  • Barsties, B., y Maryn, Y. (2015). The improvement of internal consistency of the Acoustic Voice Quality Index. American Journal of Otolaryngology, 36(5), 647-656. https://doi.org/10.1016/j.amjoto.2015.04.012 PMid:25964174
  • Barsties, B., y Maryn, Y. (2016). External validation of the Acoustic Voice Quality Index version 03.01 with extended representativity. Annals of Otology, Rhinology & Laryngology, 125(7), 571-583. https://doi.org/10.1177/0003489416636131 PMid:26951063
  • Boersma, P., y Weenink, D. (2016). Praat: Doing phonetics by computer [programa informático, versión 6.0.22]. http://www.praat.org/.
  • Brinca, L. F., Batista, A. P. F., Tavares, A. I., Gonçalves, I. C., y Moreno, M. L. (2014). Use of cepstral analyses for differentiating normal from dysphonic voices: A comparative study of connected speech versus sustained vowel in European Portuguese female speakers. Journal of Voice, 28, 282-286. https://doi.org/10.1016/j.jvoice.2013.10.001 PMid:24491499
  • Cecconello, L., Farías, P., y Gurlekian, J. A. (2008). Aplicación del cepstrum en la clínica vocal. Revista de la Federación Argentina de Sociedades de Otorrinolaringología. Edición especial, 30.º Congreso Argentino de Otorrinolaringología, 15(1), 12-14.
  • Dejonckere, P. H. (1998). Cepstral voice analysis: Link with perception and stroboscopy. Revue de Laryngologie, Otologie, Rhinologie (Bord), 119, 245-246.
  • Dejonckere, P. H., y Wieneke, G. (1996). Cepstra of normal and pathological voices in correlation with acoustic, aerodynamic and perceptual data. En M. J. Ball y M. Duckworth (Eds.), Advances in Clinical Phonetics Vol. 6. (pp. 217-226). Amsterdam: John Benjamins. https://doi.org/10.1075/sspcl.6.13dej
  • Delgado, J., León, N. M., Jiménez, A., e Izquierdo, L. M. (2017). Análisis acústico de la voz: medidas temporales, espectrales y cepstrales en la voz normal con el Praat en una muestra de hablantes de español. Revista de Investigación en Logopedia, 7(2), 108-127.
  • Delgado-Hernández, J., León-Gómez, N. M., Izquierdo-Arteaga, L. M., y Llanos-Fumero, Y. (2018). Análisis cepstral de la voz normal y patológica en adultos españoles. Medida de la prominencia del pico cepstral suavizado en vocales sostenidas versus habla conectada. Acta Otorrinolaringológica Española, 69, 134-140. https://doi.org/10.1016/j.otorri.2017.05.006 PMid:28867553
  • Deliyski, D. D., Shaw, H. S., y Evans, M. K. (2005). Adverse effects of environmental noise on acoustic voice quality measurements. Journal of Voice, 19(1), 15-28. https://doi.org/10.1016/j.jvoice.2004.07.003 PMid:15766847
  • Deliyski, D. D., Shaw, H. S., Evans, M. K., y Vesselinov, R. (2006). Regression tree approach to studying factors influencing acoustic voice analysis. Folia Phoniatrica et Logopaedica, 58, 274-288. https://doi.org/10.1159/000093184 PMid:16825780
  • Eadie, T. L., y Baylor, C. R. (2006). The effect of perceptual training on inexperienced listeners' judgments of dysphonic voice. Journal of Voice, 20, 527-544. https://doi.org/10.1016/j.jvoice.2005.08.007 PMid:16324823
  • Everitt, B. S. (2002). The Cambridge Dictionary of Statistics. 2nd ed. New York: Cambridge University Press.
  • Fleiss, J. L. (1971). Measuring nominal scale agreement among many raters. Psychological Bulletin, 76, 378-382. https://doi.org/10.1037/h0031619
  • Heman-Ackah, Y. D., Michael, D. D., Baroody, M. M., Ostrowski, R., Hillenbrand, J., Heuer, R. J., … y Staloff, R. T. (2003). Cepstral peak prominence: A more reliable measure of dysphonia. Annals of Otology, Rhinology & Laryngology, 112, 324-333. https://doi.org/10.1177/000348940311200406 PMid:12731627
  • Heman-Ackah, Y. D., Michael, D. D., y Goding, G. S. Jr. (2002). The relationship between cepstral peak prominence and selected parameters of dysphonia. Journal of Voice, 16, 20-27. https://doi.org/10.1016/S0892-1997(02)00067-X
  • Heman-Ackah, Y. D., Sataloff, R. T., Laureyns, G., Lurie, D., Michael, D. D., Heuer, R., … y Hillenbrand, J. (2014). Quantifying the cepstral peak prominence, a measure of dysphonia. Journal of Voice, 28, 783-788. https://doi.org/10.1016/j.jvoice.2014.05.005 PMid:25179777
  • Hernández, J. D., León-Gómez, M. L., Jiménez, A., Izquierdo, L. M., y Latoszek, B. B. v. (2018). Validation of the Acoustic Voice Quality Index Version 03.01 and the Acoustic Breathiness Index in the Spanish language. Annals of Otology, Rhinology & Laryngology, 127, 317-326. https://doi.org/10.1177/0003489418761096 PMid:29490478
  • Hillenbrand, J., Cleveland, R. A., y Erickson, R. L. (1994). Acoustic correlates of breathy vocal quality. Journal of Speech, Language, and Hearing Research, 37, 769-778. https://doi.org/10.1044/jshr.3704.769
  • Hillenbrand, J., y Houde, R. A. (1996). Acoustic correlates of breathy vocal quality: Dysphonic voices and continuous speech. Journal of Speech, Language, and Hearing Research, 39, 311-321. https://doi.org/10.1044/jshr.3902.311
  • Hirano, M. (1981). Psycho-acoustic evaluation of voice. En G. E. Arnold, F. Winckel y B. D. Wyke (Eds.), Disorders of Human Communication 5. Clinical Examination of Voice (pp. 81-84). Vienna: Springer.
  • Hochmuth, S., Brand, T., Zokoll, M. A., Zenker Castro, F., Wardenga, N., y Kollmeier, B. (2012). A Spanish matrix sentence test for assessing speech reception thresholds in noise. International Journal of Audiology, 51, 536-544. https://doi.org/10.3109/14992027.2012.670731 PMid:22537033
  • Kreiman, J., Gerratt, B. R., Kempster, G. B., Erman, A., y Berke, G. S. (1993). Perceptual evaluation of voice quality: Review, tutorial, and a framework for future research. Journal of Speech, Language, and Hearing Research, 36, 21-40. https://doi.org/10.1044/jshr.3601.21
  • Krom, G. de (1993). A cepstrum-based technique for determining a harmonics-to- noise ratio in speech signals. Journal of Speech, Langauge, and Hearing Research, 36, 254-266. https://doi.org/10.1044/jshr.3602.254
  • Landis, J. R., y Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33, 159-174. https://doi.org/10.2307/2529310 PMid:843571
  • Latoszek, B. B., Maryn, Y., Gerrit, E., y De Bodt, M. (2017). The Acoustic Breathiness Index (ABI): A multivariate acoustic model for breathiness. Journal of Voice, 31, 511e11- 511e27. https://doi.org/10.1016/j.jvoice.2016.11.017 PMid:28087124
  • Maryn, Y., Corthals, P., Van Cauwenberge, P., Roy, N., y De Bodt, M. (2010). Toward improved ecological validity in the acoustic measurement of overall voice quality: Combining continuous speech and sustained vowels. Journal of Voice, 24, 540-555. https://doi.org/10.1016/j.jvoice.2008.12.014 PMid:19883993
  • Maryn, Y., De Bodt, M., Barsties, B., y Roy, N. (2014). The value of the Acoustic Voice Quality Index as a measure of dysphonia severity in subjects speaking different languages. European Archives of Oto-Rhino-Laryngology, 271, 1609-1619. https://doi.org/10.1007/s00405-013-2730-7 PMid:24162765
  • Maryn, Y., De Bodt, M., y Roy, N. (2010). The Acoustic Voice Quality Index: Toward improved treatment outcomes assessment in voice disorders. Journal of Communication Disorders, 43, 161-174. https://doi.org/10.1016/j.jcomdis.2009.12.004 PMid:20080243
  • Maryn, Y., Roy, N., De Bodt, M., Van Cauwenberge, P., y Corthals, P. (2009). Acoustic measurement of overall voice quality: A meta-analysis. Journal of the Acoustic Society of America, 126, 2619-2634. https://doi.org/10.1121/1.3224706 PMid:19894840
  • Portney, L. G., y Watkins, M. P. (2000). Foundations of clinical research: Applications to practice, 2nd ed. Upper Saddle River, NJ: Prentice Hall.
  • Sauder, C., Bretl, M., y Eadie, T. (2017). Predicting voice disorder status from smoothed measures of cepstral peak prominence using Praat and Analysis of Dysphonia in Speech and Voice (ADSV). Journal of Voice, 31, 557-566. https://doi.org/10.1016/j.jvoice.2017.01.006 PMid:28169094
  • Wolfe, V., y Martin, D. (1997). Acoustic correlates of dysphonia: Type and severity. Journal of Communication Disorders, 30, 403-415. https://doi.org/10.1016/S0021-9924(96)00112-8
  • Wolfe, V. I., Martin, D. P., y Palmer, C. I. (2000). Perception of dysphonic voice quality by naive listeners. Journal of Speech, Language, and Hearing Research, 43, 697-705. https://doi.org/10.1044/jslhr.4303.697 PMid:10877439
  • Wuyts, F. L., De Bodt, M. S., Molenberghs, G., Remacle, M., Heylen, L., Millet, B., ... y Van de Heyning, P. H. (2000). The Dysphonia Severity Index: An objective measure of vocal quality based on a multiparameter approach. Journal of Speech, Language, and Hearing Research, 43, 796-809. https://doi.org/10.1044/jslhr.4303.796 PMid:10877446
  • Yiu, E., Worrall, L., Longland, J., y Mitchell, C. (2000). Analysing vocal quality of connected speech using Kay's Computerized Speech Lab: a preliminary finding. Clinical Linguistics & Phonetics, 14(4), 295-305. https://doi.org/10.1080/02699200050023994