Skip to main content
SpringerLink
Log in

Acoustic Analysis and Voice Quality in Parkinson Disease

  • Conference paper
  • First Online:
Automatic Assessment of Parkinsonian Speech (AAPS 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1295))

Included in the following conference series:

Abstract

Investigators and clinicians have long sought to apply acoustic analysis to track changes in voice quality in Parkinson disease (PD), in order to evaluate or document treatment effects, track disease progression, or to attempt remote automatic diagnosis. These studies have often had disappointing results, so that the best way to apply acoustics to Parkinsonian voice remains an open question. In this paper we argue that past approaches have not lived up to expectations due to a lack of theory relating voice quality to either acoustics or to the physiological changes associated with disease progression. We review the history of acoustic analysis in PD and describe the motivations that have been presented for each measure. We then describe a psychoacoustic model of voice quality, and explore how this model could be applied to develop a comprehensive model of voice in PD. Such a model would explain how acoustics, quality, and voice production interrelate. Without such an understanding, we contend, the goal of meaningful evaluation of voice in PD will remain unachieved.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Attempts to circumvent such measurement problems by using spectral domain measures have generally been unsuccessful; see e.g. [37].

Abbreviations

APQ: :

Amplitude perturbation quotient

APQ n : :

APQ over n pitch periods

AVQI: :

Acoustic voice quality index

CoV: :

Coefficient of variation

CPP: :

Cepstral peak prominence

D2: :

Correlation dimension

DDA: :

Average difference of differences between periods in amplitude

DDK: :

Diadochokinesis

DDP: :

Average difference of differences between periods in frequency

DFA: :

Detrended fluctuation analysis

EMD-ER: :

Empirical mode decomposition excitation ratio

F0: :

Fundamental frequency

F1, F2, F3: :

First, second and third formants

GNE: :

Glottal-to-noise excitation ratio

HNR: :

Harmonics-to-noise ratio

LSVT: :

Lee Silverman Voice Therapy

LTAS: :

Long-term average spectrum

MFCC: :

Mel frequency cepstral coefficient

MFT: :

Maximum phonation time

MDVP: :

Multidimensional voice program

NHR: :

Noise-to-harmonics ratio

PLP: :

Perceptual linear prediction

PPE: :

Pitch period entropy

PPQ: :

Pitch perturbation quotient

PPQ n : :

PPQ over n pitch periods

RAP: :

Relative average perturbation

RPDE: :

Recurrent period density entropy

SD: :

Standard deviation

SPI: :

Soft phonation index

SPL: :

Sound pressure level

S/Z: :

S/Z ratio

VOT: :

Voice onset time

VSA: :

Vowel space area

VTI: :

Voice turbulence index

References

  1. Harel, B., Cannizzaro, M., Snyder, P.J.: Variability in fundamental frequency during speech in prodromal and incipient Parkinson’s disease: a longitudinal case study. Brain Cogn. 56, 24–29 (2004)

    Article  Google Scholar 

  2. Catford, J.C.: Fundamental Problems in Phonetics. Edinburgh University Press, Edinburgh (1977)

    Google Scholar 

  3. Lechien, J.R., et al.: Voice quality outcomes of idiopathic Parkinson’s disease medical treatment: a systematic review. Clin. Otolaryngol. 43, 882–903 (2018)

    Article  Google Scholar 

  4. Atkinson-Clement, C., Sadat, J., Pinto, S.: Behavioral treatments for speech in Parkinson’s disease: meta-analyses and review of the literature. Neurodegener. Dis. Manag. 5, 233–248 (2015)

    Article  Google Scholar 

  5. Canter, G.J.: Speech characteristics of patients with Parkinson’s disease. I. Intensity, pitch, and duration. J. Speech Hear. Disord. 28, 221–229 (1963)

    Article  Google Scholar 

  6. Canter, G.J.: Speech characteristics of patients with Parkinson’s disease: II. Physiological support for speech. J. Speech Hear. Disord. 30, 44–49 (1965)

    Article  Google Scholar 

  7. Milenkovic, P., Read, C.: CSpeech Supplement User’s Manual, CSpeech Version 3.1. Author, Madison, WI (1990)

    Google Scholar 

  8. Bang, Y., Minc, K., Sohnd, Y.H., Cho, S.: Acoustic characteristics of vowel sounds in patients with Parkinson disease. NeuroRehabilitation 32, 649–654 (2013)

    Article  Google Scholar 

  9. Vaiciukynas, E., Verikas, A., Gelzinis, A., Bacauskiene, M.: Detecting Parkinson’s disease from sustained phonation and speech signals. PLoS ONE 12, e0185613 (2017)

    Article  Google Scholar 

  10. Cushnie-Sparrow, D., Adams, S., Abeyesekera, A., Pieterman, M., Gilmore, G., Jog, M.: Voice quality severity and responsiveness to levodopa in Parkinson’s disease. J. Commun. Disord. 76, 1–10 (2018)

    Article  Google Scholar 

  11. Ramig, L., Fox, C., Sapir, S.: Speech treatment for Parkinson’s disease. Expert Rev. Neurother. 8, 297–309 (2008)

    Article  Google Scholar 

  12. Buder, E.: 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)

    Google Scholar 

  13. Hillenbrand, J., Houde, R.A.: Acoustic correlates of breathy vocal quality: dysphonic voices and continuous speech. J. Speech Hear. Res. 39, 311–321 (1996)

    Article  Google Scholar 

  14. Herzel, H., Berry, D., Titze, I., Saleh, M.: Analysis of vocal disorders with methods from nonlinear dynamics. J. Speech Hear. Res. 37, 1008–1119 (1994)

    Article  Google Scholar 

  15. Baken, R.J., Orlikoff, R.: Clinical Measurement of Voice and Speech. Singular, San Diego, CA (2000)

    Google Scholar 

  16. Sakar, B.E., Serbes, G., Sakar, C.O.: Analyzing the effectiveness of vocal features in early telediagnosis of Parkinson’s disease. PLoS ONE 12, e0182428 (2017)

    Article  Google Scholar 

  17. Arora, S., Baghai-Ravary, L., Tsanas, A.: Developing a large scale population screening tool for the assessment of Parkinson’s disease using telephone-quality voice. J. Acoust. Soc. Am. 145, 2871–2884 (2019)

    Article  Google Scholar 

  18. Mate, M.A., Cobeta, I., Jiménez-Jiménez, F.J., Figueiras, R.: Digital voice analysis in patients with advanced Parkinson’s disease undergoing deep brain stimulation therapy. J. Voice 26, 496–501 (2012)

    Article  Google Scholar 

  19. Lazarus, J.P., et al.: A study of voice profiles and acoustic signs in patients with Parkinson’s disease in North India. J. Clin. Neurosci. 19, 1125–1129 (2012)

    Article  Google Scholar 

  20. Goberman, A., Coelho, C.: Acoustic analysis of Parkinsonian speech I: speech characteristics and L-dopa therapy. NeuroRehabilitation 17, 237–246 (2002)

    Article  Google Scholar 

  21. Zhang, Y., Jiang, J., Rahn, D.A.: Studying vocal fold vibrations in Parkinson’s disease with a nonlinear model. Chaos 15, 033903 (2005)

    Article  MATH  Google Scholar 

  22. Zwirner, P., Murry, T., Woodson, G.: Phonatory function of neurologically impaired patients. J. Commun. Disord. 24, 287–300 (1991)

    Article  Google Scholar 

  23. Midi, I., Dogan, M., Koseoglu, M., Can, G., Sehitoglu, M.A., Gunal, D.I.: Voice abnormalities and their relation with motor dysfunction in Parkinson’s disease. Acta Neurol. Scand. 117, 26–34 (2008)

    Google Scholar 

  24. Fabbri, M., et al.: Speech and voice response to a levodopa challenge in late-stage Parkinson’s disease. Front. Neurol. 8, 432 (2017)

    Article  Google Scholar 

  25. Pinho, P., Monteiro, L., Soares, M., Tourinho, L., Melo, A., Nobrega, A.C.: Impact of levodopa treatment in the voice pattern of Parkinson’s disease patients: a systematic review and meta-analysis. CoDAS 30, e20170200 (2018)

    Article  Google Scholar 

  26. Hertrich, I., Ackermann, H.: Gender-specific vocal dysfunctions in Parkinson’s disease: electroglottographic and acoustic analyses. Ann. Otol. Rhinol. Laryngol. 104, 197–202 (1995)

    Article  Google Scholar 

  27. Baumgartner, C.A., Sapir, S., Ramig, L.: Voice quality changes following phonatory-respiratory effort treatment (LSVT) versus respiratory effort treatment for individuals with Parkinson disease. J. Voice 15, 105–114 (2001)

    Article  Google Scholar 

  28. Kompoliti, K., Wang, Q.E., Goetz, C.G., Leurgans, S., Raman, R.: Effects of central dopaminergic stimulation by apomorphine on speech in Parkinson’s disease. Neurology 54, 458–462 (2000)

    Article  Google Scholar 

  29. Schulz, G.M., Peterson, T., Sapienza, C.M., Greer, M., Friedman, W.: Voice and speech characteristics of persons with Parkinon’s disease pre- and post-pallidotomy surgery: preliminary findings. J. Speech Lang. Hear. Res. 42, 1176–1194 (1999)

    Article  Google Scholar 

  30. Eskidere, Ö., Ertaş, F., Hanilçi, C.: A comparison of regression methods for remote tracking of Parkinson’s disease progression. Expert Syst. Appl. 39, 5523–5528 (2012)

    Article  Google Scholar 

  31. Little, M.A., McSharry, P.E., Roberts, S.J., Costello, D.A.E., Moroz, I.M.: Exploiting nonlinear recurrence and fractal scaling properties for voice disorder detection. Biomed. Eng. Online 6, 23 (2009)

    Article  Google Scholar 

  32. Fox, C.M., Morrison, C.E., Ramig, L., Sapir, S.: Current perspectives on the Lee Silverman voice treatment (LSVT) for individuals with idiopathic Parkinson disease. Am. J. Speech-Lang. Pathol 11, 111–123 (2002)

    Article  Google Scholar 

  33. Fox, C.M., Ramig, L., Ciucci, M.R., Sapir, S., McFarland, D.H., Farley, B.G.: The science and practice of LSVT/LOUD: neural plasticity–principled approach to treating individuals with Parkinson disease and other neurological disorders. Semin. Speech Lang. 27, 283–299 (2006)

    Article  Google Scholar 

  34. Alharbi, G.G., Cannito, M.P., Buder, E.H., Awan, S.N.: Spectral/cepstral analyses of phonation in Parkinson’s disease before and after voice treatment: a preliminary study. Folia Phoniatr. Logop. 71, 275–285 (2019)

    Article  Google Scholar 

  35. Sapir, S.: Multiple factors are involved in the dysarthria associated with Parkinson’s disease: a review with implications for clinical practice and research. J. Speech Lang. Hear. Res. 57, 1330–1343 (2014)

    Article  Google Scholar 

  36. Gerratt, B.R., Kreiman, J.: Utility of acoustic measures of voice. In: Proceedings of the Workshop on Standardization in Acoustic Voice Analysis, pp. GER1 - GER7. National Center for Voice and Speech, Denver (1995)

    Google Scholar 

  37. Murphy, P.J.: Spectral noise estimation in the evaluation of pathological voice. Logop. Phoniatr. Vocol. 31, 182–189 (2006)

    Article  Google Scholar 

  38. Kreiman, J., Gerratt, B.R.: Perception of aperiodicity in pathological voice. J. Acoust. Soc. Am. 117, 2201–2211 (2005)

    Article  Google Scholar 

  39. Kent, R.D., Vorperian, H.K., Kent, J.F., Duffy, J.R.: Voice dysfunction in dysarthria: application of the multi-dimensional voice program. J. Commun. Disord. 36, 281–306 (2003)

    Article  Google Scholar 

  40. Yuasa, I.P.: Creaky voice: a new feminine voice quality for young urban-oriented upwardly mobile American women? Am. Speech 85, 315–337 (2010)

    Article  Google Scholar 

  41. Garellek M.: Acoustic discriminability of the complex phonation system in !Xóõ. Phonetica 77, 131–160 (2020)

    Google Scholar 

  42. Kreiman, J., Sidtis, D.: Foundations of Voice Studies. Wiley-Blackwell, Malden, MA (2011)

    Book  Google Scholar 

  43. Gillivan-Murphy, P., Miller, N., Carding, P.: Voice tremor in Parkinson’s disease: an acoustic study. J. Voice 33, 526–535 (2019)

    Article  Google Scholar 

  44. Kreiman, J., Gerratt, B.R., Garellek, M., Samlan, R., Zhang, Z.: Toward a unified theory of voice production and perception. Loquens 1, e009 (2014)

    Article  Google Scholar 

  45. Lee, C.Y., Keating, P., Kreiman, J.: Acoustic voice variation within and between speakers. J. Acoust. Soc. Am. 146, 1568–1579 (2019)

    Article  Google Scholar 

  46. Kreiman, J., Gerratt, B.R., Antoñanzas-Barroso, N.: Measures of the glottal source spectrum. J. Speech Lang. Hear. Res. 50, 595–610 (2007)

    Article  Google Scholar 

  47. Kreiman, J., Gerratt, B.R.: Perceptual interactions of the harmonic source and noise in voice. J. Acoust. Soc. Am. 131, 492–500 (2012)

    Article  Google Scholar 

  48. Garellek, M., Samlan, R., Gerratt, B.R., Kreiman, J.: Modeling the voice source in terms of spectral slopes. J. Acoust. Soc. Am. 139, 1404–1410 (2016)

    Article  Google Scholar 

  49. Kreiman, J., Gerratt, B.R., Signorello, R., Rastifar, S.: Sufficiency of a four-parameter spectral model of the voice source. J. Acoust. Soc. Am. 137, 2266 (2015)

    Article  Google Scholar 

  50. Kreiman, J., Lee, C.Y., Garellek, M., Samlan, R., Gerratt, B.R.: Validating a psychoacoustic model of voice quality. J. Acoust. Soc. Am. (2021, to appear)

    Google Scholar 

  51. Fant, G.: Acoustic Theory of Speech Production. Mouton, The Hague (1960)

    Google Scholar 

  52. Fastl, H.: The psychoacoustics of sound-quality evaluation. Acta Acustica United Acustica 83, 754–764 (1997)

    Google Scholar 

  53. Gerratt, B.R., Kreiman, J., Garellek, M.: Comparing measures of voice quality from sustained phonation and continuous speech. J. Speech Lang. Hear. Res. 59, 994–1001 (2016)

    Article  Google Scholar 

  54. Abeyesekera, A., et al.: Effects of deep brain stimulation of the subthalamic nucleus settings on voice quality, intensity, and prosody in Parkinson’s disease: preliminary evidence for speech optimization. Can. J. Neurol. Sci. 46, 287–294 (2019)

    Article  Google Scholar 

  55. Azevedo, L.L., Cardoso, F., Reis, C.: Acoustic analysis of prosody in females with Parkinson’s disease: comparison with normal controls. Arq. Neuropsiquiatr. 61, 999–1003 (2003)

    Article  Google Scholar 

  56. Bauer, V., Alerić, Z., Jančić, E., Miholović, V.: Voice quality in Parkinson’s disease in the Croatian language speakers. Collegium Antropologicum 35(Suppl. 2), 209–212 (2011)

    Google Scholar 

  57. Bayestehtashka, A., Asgaria, M., Shafrana, I., McNames, J.: Fully automated assessment of the severity of Parkinson’s disease from speech. Comput. Speech Lang. 29, 172–185 (2015)

    Article  Google Scholar 

  58. Benba, A., Jilbab, A., Hammouch, A.: Voice analysis for detecting persons with Parkinson’s disease using PLP and VQ. J. Theor. Appl. Inf. Technol. 70, 443–450 (2014)

    Google Scholar 

  59. Benba, A., Jilbab, A., Hammouch, A.: Discriminating between patients with Parkinson’s and neurological diseases using cepstral analysis. IEEE Trans. Neural Syst. Rehabil. Eng. 24, 1100–1108 (2016)

    Article  Google Scholar 

  60. Berus, L., Klancnik, S., Brezocnik, M., Ficko, M.: Classifying Parkinson’s disease based on acoustic measures using artificial neural networks. Sensors (Basel) 19(1), 16 (2018)

    Article  Google Scholar 

  61. Chenausky, K., MacAuslan, J., Goldhor, R.: Acoustic analysis of PD speech. Parkinsons Dis. 2011, Article ID 435232 (2011)

    Google Scholar 

  62. Cnockaert, L., Schoentgen, J., Auzou, P., Ozsancak, C., Defebvre, L., Grenez, F.: Low-frequency vocal modulations in vowels produced by Parkinsonian subjects. Speech Commun. 50, 288–300 (2008)

    Article  Google Scholar 

  63. Constantinescu, G.A., Theodoros, D.G., Russel, T.G., Ward, E.C., Wilson, S.J., Wootton, R.: Homebased speech treatment for Parkinson’s disease delivered remotely: a case report. J. Telemed. Telecare 16, 100–104 (2010)

    Article  Google Scholar 

  64. Critchlely, E.M.R.: Speech disorders of Parkinsonism: a review. J. Neurol. Neurosurg. Psychiat. 44, 751–758 (1981)

    Article  Google Scholar 

  65. D’Alatri, L., Paludetti, G., Contarino, M.F., Galla, S., Marchese, M.R., Bentivoglio, A.R.: Effects of bilateral subthalamic nucleus stimulation and medication on Parkinsonian speech impairment. J. Voice 22, 365–372 (2008)

    Article  Google Scholar 

  66. Das, R.: A comparison of multiple classification methods for diagnosis of Parkinson disease. Expert Syst. Appl. 37, 1568–1572 (2010)

    Article  Google Scholar 

  67. De Letter, M., Van Borsel, J., Boon, P., De Bodt, M., Dhooge, I., Santens, P.: Sequential changes in motor speech across a levodopa cycle in advanced Parkinson’s disease. Int. J. Speech-Lang. Pathol. 12, 405–413 (2010)

    Article  Google Scholar 

  68. Dromey, C.: Spectral measures and perceptual ratings of hypokinetic dysarthria. J. Med. Speech Lang. Pathol. 11, 85–94 (2003)

    Google Scholar 

  69. Dromey, C., Ramig, L., Johnson, A.B.: Phonatory and articulatory changes associated with increased vocal intensity in Parkinson disease: a case study. J. Speech Hear. Res. 38, 751–764 (1995)

    Article  Google Scholar 

  70. Dromey, C., Kumar, R., Lang, A.E., Lozano, A.M.: An investigation of the effects of subthalamic nucleus stimulation on acoustic measures of voice. Mov. Disord. 15, 1132–1138 (2000)

    Article  Google Scholar 

  71. Fenton, E., Schley, W.S., Niimi, S.: Vocal symptoms in Parkinson disease treated with levodopa: a case report. Ann. Otol. 91, 119–121 (1982)

    Google Scholar 

  72. Flint, A.J., Black, S.E., Campbell-Taylor, I., Gailey, G.F., Levinton, C.: Acoustic analysis in the differentiation of Parkinson’s disease and major depression. J. Psycholinguist. Res. 21, 383–399 (1992)

    Article  Google Scholar 

  73. Forrest, K., Weismer, G., Turner, G.S.: Kinematic, acoustic, and perceptual analyses of connected speech produced by Parkinsonian and normal geriatric adults. J. Acoust. Soc. Am. 85, 2608–2622 (1989)

    Article  Google Scholar 

  74. Gamboa, J., et al.: Acoustic voice analysis in patients with Parkinsons disease treated with dopaminergic drugs. J. Voice 11, 314–320 (1997)

    Article  Google Scholar 

  75. Goberman, A.: Correlation between acoustic speech characteristics and non-speech motor performance in Parkinson disease. Med. Sci. Monit. 11, 109–116 (2005)

    Google Scholar 

  76. Goberman, A., Coelho, C.: Acoustic analysis of Parkinsonian speech II: L-dopa related fluctuations and methodological issues. NeuroRehabilitation 17, 247–254 (2002)

    Article  Google Scholar 

  77. Goberman, A., Coelho, C., Robb, M.: Phonatory characteristics of Parkinsonian speech before and after morning medication: the ON and OFF states. J. Commun. Disord. 35, 217–239 (2002)

    Article  Google Scholar 

  78. Goberman, A., Coelho, C., Robb, M.: Prosodic characteristics of Parkinsonian speech: the effect of levodopa-based medication. J. Med. Speech-Lang. Pathol. 13, 51–68 (2005)

    Google Scholar 

  79. Goberman, A., Elmer, L.W.: Acoustic analysis of clear versus conversational speech in individuals with Parkinson disease. J. Commun. Disord. 38, 215–230 (2005)

    Article  Google Scholar 

  80. Graças, R., Gama, A., Cardoso, F., Lopes, B., Bassi, I.: Objective and subjective analysis of women’s voice with idiopathic Parkinson’s disease. Arq. Neuropsiquiatr. 70, 492–496 (2012)

    Article  Google Scholar 

  81. Gustafsson, J.K., Södersten, M., Ternström, S., Schalling, E.: Long-term effects of Lee Silverman voice treatment on daily voice use in Parkinson’s disease as measured with a portable voice accumulator. Logop. Phoniatr. Vocol. 44, 124–133 (2018)

    Article  Google Scholar 

  82. Hariharan, M., Polat, K., Sindhu, R.: A new hybrid intelligent system for accurate detection of Parkinson’s disease. Comput. Meth. Programs Biomed. 113, 904–913 (2014)

    Article  Google Scholar 

  83. Ho, A.K., Bradshaw, J.L., Iansek, R.: For better or worse: the effect of levodopa on speech in Parkinson’s disease. Mov. Disord. 23, 574–580 (2008)

    Article  Google Scholar 

  84. Hoffman-Ruddy, B., Schulz, G., Vitek, J., Evatt, M.: A preliminary study of the effects of subthalamic nucleus (STN) deep brain stimulation (DBS) on voice and speech characteristics in Parkinson’s disease (PD). Clin. Linguist. Phon. 15, 97–101 (2008)

    Article  Google Scholar 

  85. Holmes, R.J., Oates, J.M., Phyland, D.J., Hughes, A.J.: Voice characteristics in the progression of Parkinson’s disease. Int. J. Lang. Commun. Disord. 35, 407–418 (2000)

    Article  Google Scholar 

  86. Jiang, J., Lin, E., Wang, J., Hanson, D.G.: Glottographic measures before and after levodopa treatment in Parkinson’s disease. Laryngoscope 109, 1287–1294 (1999)

    Article  Google Scholar 

  87. Jiménez-Jiménez, F.J., et al.: Acoustic voice analysis in untreated patients with Parkinson’s disease. Parkinsonism Relat. Disord. 3, 111–116 (1997)

    Article  Google Scholar 

  88. Karlsson, F., Olofsson, K., Blomstedt, P., Linder, J., van Doorn, J.: Pitch variability in patients with Parkinson’s disease: effects of deep brain stimulation of caudal zona incerta and subthalamic nucleus. J. Speech Lang. Hear. Res. 56, 1–9 (2013)

    Article  Google Scholar 

  89. Klostermann, F., et al.: Effects of subthalamic deep brain stimulation on dysarthrophonia in Parkinson’s disease. J. Neurol. Neurosurg. Psychiatry 79, 522–529 (2008)

    Article  Google Scholar 

  90. Lahmiri, S., Dawson, D.A., Shmuel, A.: Performance of machine learning methods in diagnosing Parkinson’s disease based on dysphonia measures. Biomed. Eng. Lett. 8(1), 29–39 (2017). https://doi.org/10.1007/s13534-017-0051-2

    Article  Google Scholar 

  91. Le Dorze, G., Ryall, J., Brassard, C., Boulanger, N., Ratté, D.: A comparison of the prosodic characteristics of the speech of people with Parkinson’s disease and Friedreich’s ataxia with neurologically normal speakers. Folia Phoniatr. Logop. 50, 1–9 (1998)

    Article  Google Scholar 

  92. Lee, V.S., Zhou, X.P., Rahn, D., Wang, E.Q., Jiang, J.: Perturbation and nonlinear dynamic analysis of acoustic phonatory signal in Parkinsonian patients receiving deep brain stimulation. J. Commun. Disord. 41, 485–500 (2008)

    Article  Google Scholar 

  93. Majdinasab, F., Karkheiran, S., Soltani, M., Moradi, N., Shahidi, G.: Relationship between voice and motor disabilities of Parkinson’s disease. J. Voice 30(768), e17–768.e22 (2016)

    Google Scholar 

  94. Majdinasab, F., Khatoonabadi, A., Khoddami, S.M., Habibi, A.: The effect of bilateral subthalamic nucleus deep brain stimulation (STN-DBS) on the acoustic and prosodic features in patients with Parkinson’s disease: a study protocol for the first trial on Iranian patients. Med. J. Islam. Repub. Iran 31, 118 (2017)

    Article  Google Scholar 

  95. Metter, E.J., Hanson, W.R.: Clinical and acoustical variability in hypokinetic dysarthria. J. Commun. Disord. 19, 347–366 (1986)

    Article  Google Scholar 

  96. Mourau, L., Aguiar, P., Ferraz, F., Behlau, M., Ferraz, H.: Acoustic voice assessment in Parkinson’s disease patients submitted to posteroventral pallidotomy. Arq. Neuropsiquiatr. 63, 20–25 (2005)

    Article  Google Scholar 

  97. Oguz, H., Tunc, T., Safak, M.A., Inan, L., Kargin, S., Demirci, M.: Objective voice changes in nondysphonic Parkinson’s disease patients. J. Otolaryngol. 35, 349–354 (2006)

    Article  Google Scholar 

  98. Orozco-Arroyave, J.R., et al.: Automatic detection of Parkinson’s disease in running speech spoken in three different languages. J. Acoust. Soc. Am. 139, 481–500 (2016)

    Article  Google Scholar 

  99. Orozco-Arroyave, J.R., et al.: NeuroSpeech: an open-source software for Parkinson’s speech analysis. Digit. Signal Process. 77, 207–221 (2018)

    Article  Google Scholar 

  100. Rahn, D.A., Chou, M., Jiang, J.J., Zhang, Y.: Phonatory impairment in Parkinson’s disease: evidence from nonlinear dynamics analysis and perturbation analysis. J. Voice 21, 64–71 (2007)

    Article  Google Scholar 

  101. Ramig, L., Scherer, R., Titze, I., Ringel, S.: Acoustic analysis of voices of patients with neurologic disease: rationale and preliminary data. Ann. Otol. Rhinol. Laryngol. 97, 164–172 (1988)

    Article  Google Scholar 

  102. Ramig, L., Sapir, S., Fox, C., Countryman, S.: Changes in vocal loudness following intensive voice treatment (LSVT) in individuals with Parkinson’s disease: a comparison with untreated patients and normal age-matched controls. Mov. Disord. 16, 79–83 (2001)

    Article  Google Scholar 

  103. Ramig, L., et al.: Intensive voice treatment (LSVT) for patients with Parkinson’s disease: a 2 year follow up. J. Neurol. Neurosurg. Psychiatry 71, 493–498 (2001)

    Article  Google Scholar 

  104. Ramig, L., Fox, C., Sapir, S.: Parkinson’s disease: speech and voice disorders and their treatment with the Lee Silverman voice treatment. Semin. Speech Lang. 25, 169–180 (2004)

    Article  Google Scholar 

  105. Ramig, L., Halpern, A., Spielman, J., Fox, C., Freeman, K.: Speech treatment in Parkinson’s disease: randomized controlled trial (RCT). Mov. Disord. 33, 1777–1791 (2018)

    Article  Google Scholar 

  106. Reyes, A., Castillo, A., Castillo, J., Cornejo, I., Cruickshank, T.: The effects of respiratory muscle training on phonatory measures in individuals with Parkinson’s disease. J. Voice 34, 894–902 (2020)

    Google Scholar 

  107. Romann, A.J., Beber, B.C., Cielo, C.A., Rieder, C.: Acoustic voice modifications in individuals with Parkinson disease submitted to deep brain stimulation. Int. Arch. Otorhinolaryngol. 23, 203–208 (2019)

    Article  Google Scholar 

  108. Rusz, J., Cmejla, R., Ruzickova, H., Ruzicka, E.: Quantitative acoustic measurements for characterization of speech and voice disorders in early untreated Parkinson’s disease. J. Acoust. Soc. Am. 129, 350–367 (2011)

    Article  Google Scholar 

  109. Sanabria, J., et al.: The effect of levodopa on vocal function in Parkinson’s disease. Clin. Neuropharmacol. 24, 99–102 (2001)

    Article  Google Scholar 

  110. Santos, L., et al.: Acoustic and hearing-perceptual voice analysis in individuals with idiopathic Parkinson’s disease in “on” and “off” stages. Arq. Neuropsiquiatr. 68, 706–711 (2010)

    Article  Google Scholar 

  111. Schulz, G.M., Greer, M., Friedman, W.: Changes in vocal intensity in Parkinson’s disease following pallidotomy surgery. J. Voice 14, 589–606 (2000)

    Article  Google Scholar 

  112. Searl, J., Wilson, K., Haring, K.: Feasibility of group voice therapy for individuals with Parkinson’s disease. J. Commun. Disord. 44, 719–732 (2011)

    Article  Google Scholar 

  113. Sewall, G.K., Jiang, J.J., Ford, C.N.: Clinical evaluation of Parkinson’s-related dysphonia. Laryngoscope 116, 1740–1744 (2006)

    Article  Google Scholar 

  114. Sheibani, R., Mkookar, E., Alavi, S.E.: An ensemble method for diagnosis of Parkinson’s disease based on voice measurements. J. Med. Signals Sens. 9, 221–226 (2019)

    Article  Google Scholar 

  115. Sidtis, D., Rogers, T., Godier, V., Tagliati, M., Sidtis, J.J.: Voice and fluency changes as a function of speech task and deep brain stimulation. J. Speech Lang. Hear. Res. 53, 1167–1177 (2010)

    Article  Google Scholar 

  116. Silbergleit, A.K., LeWitt, P.A., Peterson, E.L., Gardner, G.M.: Quantitative analysis of voice in Parkinson disease compared to motor performance: a pilot study. J. Parkinson’s Dis. 5, 517–524 (2015)

    Article  Google Scholar 

  117. Silva, L., Gama, A.C., Cardoso, F., Reis, C., Bassi, I.: Idiopathic Parkinson’s disease: vocal and quality of life analysis. Arq. Neuropsiquiatr. 70, 674–679 (2012)

    Article  Google Scholar 

  118. Skodda, S., Visser, W., Schlegel, U.: Short- and long-term dopaminergic effects on dysarthria in early Parkinson’s disease. J. Neural Transm. 117, 197–205 (2010)

    Article  Google Scholar 

  119. Skodda, S., Grönheit, W., Mancinelli, N., Schlegel, U.: Progression of voice and speech impairment in the course of Parkinson’s disease: a longitudinal study. Parkinson’s Dis. 2013, Article ID 389195 (2013)

    Google Scholar 

  120. Stegemöller, E.L., Radig, H., Hibbing, P., Wingate, J., Sapienza, C.: Effects of singing on voice, respiratory control and quality of life in persons with Parkinson’s disease. Disabil. Rehabil. 39, 594–600 (2017)

    Article  Google Scholar 

  121. Tanaka, Y., Nishio, M., Niimi, S.: Vocal acoustic characteristics of patients with Parkinson’s disease. Folia Phoniatr. Logop. 63, 223–230 (2011)

    Article  Google Scholar 

  122. Tanaka, Y., et al.: Voice features of Parkinson’s disease patients with subthalamic nucleus deep brain stimulation. J. Neurol. 262(5), 1173–1181 (2015). https://doi.org/10.1007/s00415-015-7681-z

    Article  Google Scholar 

  123. Tsanas, A., Little, M.A., McSharry, P.E., Ramig, L.: Accurate telemonitoring of Parkinson’s disease progression by non-invasive speech tests. IEEE Trans. Biomed. Eng. 57, 884–893 (2009)

    Article  Google Scholar 

  124. Tsanas, A., Little, M.A., McSharry, P.E., Ramig, L.: Nonlinear speech analysis algorithms mapped to a standard metric achieve clinically useful quantification of average Parkinson’s disease symptom severity. J. Roy. Soc. Interface 8, 842–855 (2011)

    Article  Google Scholar 

  125. Valálik, I., Smehák, G., Bognár, L., Csókay, A.: Voice acoustic changes during bilateral subthalamic stimulation in patients with Parkinson’s disease. Clin. Neurol. Neurosurg. 113, 188–195 (2011)

    Article  Google Scholar 

  126. Wight, S., Miller, N.: Lee Silverman voice treatment for people with Parkinson’s: audit of outcomes in a routine clinic. Int. J. Lang. Commun. Disord. 50, 215–225 (2015)

    Article  Google Scholar 

  127. Wu, Y., et al.: Dysphonic voice pattern analysis of patients in Parkinson’s disease using minimum interclass probability risk feature selection and bagging ensemble learning methods. Comput. Math. Meth. Med. 2017, Article ID 4201984 (2017)

    Google Scholar 

  128. Xie, Y., Zhang, Y., Zheng, Z., et al.: Changes in speech characters of patients with Parkinson’s disease after bilateral subthalamic nucleus stimulation. J. Voice 25, 751–758 (2011)

    Article  Google Scholar 

  129. Yücetürk, A.V., Yilmaz, H., Eǧrilmez, M., Karaca, S.: Voice analysis and videolaryngostroboscopy in patients with Parkinson’s disease. Eur. Arch. Otorhinolaryngol. 259, 290–293 (2002)

    Article  Google Scholar 

  130. Zhou, X.P., Lee, V.S., Wang, E.Q., Jiang, J.J.: Evaluation of the effects of deep brain stimulation of the subthalamic nucleus and levodopa treatment on Parkinsonian voice using perturbation, nonlinear dynamic, and perceptual analysis. Folia Phoniatr. Logop. 61, 189–199 (2009)

    Article  Google Scholar 

  131. Zwirner, P., Barnes, G.J.: Vocal tract steadiness: a measure of phonatory and upper airway motor control during phonation in dysarthria. J. Speech Hear. Res. 35, 761–768 (1992)

    Article  Google Scholar 

  132. Ma, A., Lau, K., Thyagarajan, D.: Voice changes in Parkinson’s disease: what are they telling us? J. Clin. Neurosci. preprint ahead of publication (2020)

    Google Scholar 

Download references

Acknowledgements

This research was supported by NIH grant DC01797 and by NSF grant IIS-1704167.

Author information

Authors and Affiliations

  1. Department of Head and Neck Surgery, UCLA School of Medicine, Los Angeles, CA, USA

    Jody Kreiman & Bruce R. Gerratt

  2. Department of Linguistics, UCLA, Los Angeles, CA, USA

    Jody Kreiman

Authors
  1. Jody Kreiman
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Bruce R. Gerratt
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jody Kreiman .

Editor information

Editors and Affiliations

  1. Universidad Politécnica de Madrid, Madrid, Spain

    Juan I. Godino-Llorente

Appendix

Appendix

This appendix summarizes the acoustic measures used in the individual studies reviewed in this chapter.

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kreiman, J., Gerratt, B.R. (2020). Acoustic Analysis and Voice Quality in Parkinson Disease. In: Godino-Llorente, J.I. (eds) Automatic Assessment of Parkinsonian Speech. AAPS 2019. Communications in Computer and Information Science, vol 1295. Springer, Cham. https://doi.org/10.1007/978-3-030-65654-6_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-65654-6_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-65653-9

  • Online ISBN: 978-3-030-65654-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation