Top

Published in:

2020 | OriginalPaper | Chapter

Measuring Periodicity Perturbations in Pathological Voice: General-Purpose Software vs. Custom-Tailored Methods

Authors : Reinier Rodríguez-Guillén, Carlos A. Ferrer-Riesgo

Published in: VIII Latin American Conference on Biomedical Engineering and XLII National Conference on Biomedical Engineering

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

The acoustic measurement of the severity of the symptoms present in pathological voice is an active research area, for being inexpensive and non invasive. Periodicity perturbations are among the most frequently used, requiring the previous extraction of the individual glottal pulse boundaries. In this paper we explore the performances of methods for detecting glottal pulse boundaries as implemented by freely available software (Praat, intended for phonetic studies) vs. a research-grade pulse cycle detector (reported as a super-resolution method). We compare the sequences of pulse markers as obtained by two of Praat’s internal implementations and the super-resolution method against the hand-marked reference sequence in a dataset of pathological sustained vowels from a well-known database. A group of performance measures is extracted from this comparison, using a Dynamic-Time Warping alignment procedure. The measures obtained show the pros and cons of each alternative. Researchers and clinicians must be aware of the benefits of selecting either approach.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

previous chapter Prediction of Breast Cancer Diagnosis by Blood Biomarkers Using Artificial Neural Networks

next chapter Estimation of Heart Rate and Respiratory Rate via Blind Estimation from Smartphone-Based Contact Image Photoplethysmography

Baken, R.J., Orlikoff, R.F.: Clinical Measurement of Speech and Voice, 2nd edn. Cengage Learning (2000)

Kreiman, J., Gerratt, B.R.: Measuring vocal quality. In: Kent, R.D., Ball, M.J. (eds.) Voice Quality Measurement, pp. 73–112. Singular, San Diego (2000)

Dejonckere, P.H., et al.: A basic protocol for functional assessment of voice pathology, especially for investigating the efficacy of (phonosurgical) treatments and evaluating new assessment techniques: Guideline elaborated by the Committee on Phoniatrics of the European Laryngolo. Eur. Arch. Oto-Rhino-Laryngology 258(2), 77–82 (2001)CrossRef

Dejonckere, P.H.: Assessment of voice and respiratory function. In: Remacle, M., Eckel, E.H. (eds.) Surgery of Larynx and Trachea, pp. 11–26. Springer, Heidelberg (2010)CrossRef

Buder, E.H.: Acoustic analysis of voice quality: a tabulation of algorithms 1902–1990. In: Kent, R.D., Ball, M.J. (eds.) Voice Quality Measurement, pp. 119–244. Singular, San Diego (2000)

Ng, M.L., Wong, J.: Voice onset time characteristics of esophageal, tracheoesophageal, and laryngeal speech of cantonese. J. Speech Lang. Hear. Res. 52, 780–789 (2009)CrossRef

Karlsson, F., Olofsson, K., Blomstedt, P., Linder, J., Nordh, E., van Doorn, J.: Articulatory closure proficiency in patients with Parkinson’s disease following deep brain stimulation of the subthalamic nucleus and caudal zona incerta. J. Speech. Lang. Hear. Res. 57, 1178–1190 (2014)CrossRef

Pouplier, M., Marin, S., Waltl, S.: Voice onset time in consonant cluster errors: can phonetic accommodation differentiate cognitive from motor errors? J. Speech Lang. Hear. Res. 57, 1577–1588 (2014)CrossRef

Borrie, S.A., Liss, J.M.: Rhythm as a coordinating device: entrainment with disordered speech. J. Speech Lang. Hear. Res. 57, 815–824 (2014)CrossRef

10.

Skodda, S., Grönheit, W., Schlegel, U.: Intonation and speech rate in Parkinson’s disease: general and dynamic aspects and responsiveness to levodopa admission, J. Voice 25(4) (2011)CrossRef

11.

Ní Chasaide, A., Yanushevskaya, I., Gobl, C.: Voice source dynamics in intonation. In: Proceedings of 17th International Congress of Phonetic Sciences (ICPhS 2011), pp. 1470–1473 (2011)

12.

Hess, W.J.: Pitch Determination of Speech Signals. Springer, Berlin Heidelberg (1983)CrossRef

13.

Hess, W.J.: Pitch and voicing determination of speech with an extension toward music signals. In: Benesty, J., Sondhi, M.M., Huang, Y.A. (eds.) Springer Handbook of Speech Processing. Springer. Heidelberg, pp. 181–212 (2008)CrossRef

14.

Boersma, P.: PRAAT, a system for doing phonetics by computer. Glot Int. 5(9/10), 5 (2002)

15.

Barsties, B., Latoszek, V., Maryn, Y., Gerrits, E., De Bodt, M.S.: “The acoustic breathiness index (ABI): a multivariate acoustic model for breathiness, J. Voice (2017, in press)

16.

Uloza, V., Latoszek, B.B.V., Ulozaite-Staniene, N., Petrauskas, T., Maryn, Y.: A comparison of Dysphonia severity index and acoustic voice quality index measures in differentiating normal and dysphonic voices. Eur. Arch. Oto-Rhino-Laryngology 275(4), 949–958 (2018)CrossRef

17.

Latoszek, B.B.V., Ulozaitė-Stanienė, N., Petrauskas, T., Uloza, V., Maryn, Y.: Diagnostic accuracy of dysphonia classification of DSI and AVQI. Laryngoscope (2018)

18.

Latoszek, B.B.V., De Bodt, M., Gerrits, E., Maryn, Y.: The exploration of an objective model for roughness with several acoustic markers. J. Voice 32(2), 149–161 (2018)CrossRef

19.

Boersma, P.: Should jitter be measured by peak picking or by waveform matching? Folia Phoniatr. Logop. 61(5), 305–308 (2009)CrossRef

20.

Medan, Y., Yair, E., Chazan, D.: Super resolution pitch determination of speech signals. IEEE Trans. Signal Process. 39(1), 40–48 (1991)CrossRef

21.

Bagshaw, P.C., Miller, S.M., Jack, M.A.: Enhanced pitch tracking and the processing of F0 contours for computer aided intonation teaching. In: 3rd European Conference on Speech Communication and Technology EUROSPEECH 1993, pp. 1003–1006 (1993)

22.

Parsa, V., Jamieson, D.G.: A comparison of high precision F0 extraction algorithms for sustained vowels. J. Speech. Lang. Hear. Res. 42(1), 112–126 (1999)CrossRef

23.

Ferrer, C., Torres, D., Hernández-Díaz, M.E.: Using dynamic time warping of T0 contours in the evaluation of cycle-to-cycle pitch detection algorithms. Pattern Recognit. Lett. 31(6), 517–522 (2010)CrossRef

24.

Disordered Voice Database v1.03. Kay Elemetrics Corp (1994)

25.

Hosokawa, K., Ogawa, M., Hashimoto, M., Inohara, H.: Statistical analysis of the reliability of acoustic and electroglottographic perturbation parameters for the detection of vocal roughness. J. Voice 28(2), 263.e9–263.e16 (2014)CrossRef

26.

Manfredi, C., Giordano, A., Schoentgen, J., Fraj, S., Bocchi, L., Dejonckere, P.H.: Validity of jitter measures in non-quasi-periodic voices. part II: the effect of noise. Logop. Phoniatr. Vocology 36(2), 78–89 (2011)CrossRef

Title: Measuring Periodicity Perturbations in Pathological Voice: General-Purpose Software vs. Custom-Tailored Methods
Authors: Reinier Rodríguez-Guillén
Carlos A. Ferrer-Riesgo
Publisher: Springer International Publishing
Book: VIII Latin American Conference on Biomedical Engineering and XLII National Conference on Biomedical Engineering
Print ISBN: 978-3-030-30647-2

Electronic ISBN: 978-3-030-30648-9

Copyright Year: 2020
DOI: https://doi.org/10.1007/978-3-030-30648-9_8