Startseite Analysis of Smooth Cepstral Peak Prominence in Hypokinetic Dysarthria Associated With Parkinson’s Disease
Artikel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

Analysis of Smooth Cepstral Peak Prominence in Hypokinetic Dysarthria Associated With Parkinson’s Disease

  • Qiang Li

    Qiang Li is Associate Professor of Communication Sciences and Disorders at Fort Hays State University. His research interests focus on neurogenic communication disorders, particularly motor speech disorders associated with Parkinson’s disease. He is a licensed Speech-Language Pathologist in Kansas who offers speech therapy to adults with brain injuries.

    , Abigail Wallace

    Abigail Wallace is a licensed speech-language pathologist in the United States. She received her Bachelor of Science in Biology in 2021 from Ottawa University and in Communication Sciences and Disorders from Fort Hays State University in 2022. Abigail is interested in research of speech therapy provided to the population with acquired neurogenic communication disorders.

    , Wesley Davis

    Wesley Davis is a licensed speech-language pathologist in the United States. He is interested in research focusing on adult language disorders and hearing disorders such as noise-induced hearing loss.

    , Beau Roth

    Beau Roth is a licensed speech-language pathologist in the United States. He received his Bachelor of Science in Communication Sciences and Disorders from Fort Hays State University in 2022. Beau is interested in providing speech services to adults with language and speech disorders. His research interest focuses on acquired language disorders and hearing disorders.

    , Laura Langhofer

    Laura Langhofer is a licensed speech-language pathologist in the United States. She received her Bachelor of Science in Communication Sciences and Disorders from Fort Hays State University in 2022. She is interested in providing speech therapy in the educational setting of school districts.

    , Shalini Narayana

    Shalini Narayana is Professor in the departments of Pediatrics and Anatomy and Neurobiology at the University of Tennessee Health Science Center. Her expertise is in the use of non-invasive imaging tools such as Transcranial Magnetic Stimulation (TMS), magnetic resonance imaging (MRI), magnetoencephalography (MEG), and positron emission tomography (PET) in studying motor, somatosensory, and language networks in both clinical populations and healthy volunteers.

    und Michael Cannito

    Michael P. Cannito is Professor of Communicative Disorders at the University of Louisiana at Lafayette. He specializes in acquired neurogenic communication disorders in adults, especially in motor speech disorders. He has published numerous research articles in peer-reviewed journals including JSLHR, AJSLP, Journal of Voice, Brain & Language, among others. He has coedited two books on Motor Speech Disorders. He serves as a member of the Editorial Board for Journal of Voice.

Veröffentlicht/Copyright: 7. Dezember 2024
Veröffentlichen auch Sie bei De Gruyter Brill

Abstract

Smoothed cepstral peak prominence (CPPs) is a measurement of the distance from the prominent cepstral peak to the linear regression line directly beneath it. Variations of CPPs data acquisition and analysis lead to the complexity of the clinical cut-off values, and there are no agreeable values for a specific voice disorder, such as hypokinetic dysarthria associated with Parkinson’s disease (PD). This study examined the CPPs in people with hypokinetic dysarthria associated with PD compared with healthy participants. Results demonstrated significant differences in speech tasks of sustained vowel and connected speech, with CPPs of connected speech more sensitive to dysphonia and gender difference in PD participants. Males in PD participants presented higher CPPs for sustained vowels and lower CPPs for connected speech than females. It is implied that a consistent clinical application protocol is necessary, and multiple acoustic measures are needed to ensure the accuracy of clinical decisions.

About the authors

Qiang Li

Qiang Li is Associate Professor of Communication Sciences and Disorders at Fort Hays State University. His research interests focus on neurogenic communication disorders, particularly motor speech disorders associated with Parkinson’s disease. He is a licensed Speech-Language Pathologist in Kansas who offers speech therapy to adults with brain injuries.

Abigail Wallace

Abigail Wallace is a licensed speech-language pathologist in the United States. She received her Bachelor of Science in Biology in 2021 from Ottawa University and in Communication Sciences and Disorders from Fort Hays State University in 2022. Abigail is interested in research of speech therapy provided to the population with acquired neurogenic communication disorders.

Wesley Davis

Wesley Davis is a licensed speech-language pathologist in the United States. He is interested in research focusing on adult language disorders and hearing disorders such as noise-induced hearing loss.

Beau Roth

Beau Roth is a licensed speech-language pathologist in the United States. He received his Bachelor of Science in Communication Sciences and Disorders from Fort Hays State University in 2022. Beau is interested in providing speech services to adults with language and speech disorders. His research interest focuses on acquired language disorders and hearing disorders.

Laura Langhofer

Laura Langhofer is a licensed speech-language pathologist in the United States. She received her Bachelor of Science in Communication Sciences and Disorders from Fort Hays State University in 2022. She is interested in providing speech therapy in the educational setting of school districts.

Shalini Narayana

Shalini Narayana is Professor in the departments of Pediatrics and Anatomy and Neurobiology at the University of Tennessee Health Science Center. Her expertise is in the use of non-invasive imaging tools such as Transcranial Magnetic Stimulation (TMS), magnetic resonance imaging (MRI), magnetoencephalography (MEG), and positron emission tomography (PET) in studying motor, somatosensory, and language networks in both clinical populations and healthy volunteers.

Michael Cannito

Michael P. Cannito is Professor of Communicative Disorders at the University of Louisiana at Lafayette. He specializes in acquired neurogenic communication disorders in adults, especially in motor speech disorders. He has published numerous research articles in peer-reviewed journals including JSLHR, AJSLP, Journal of Voice, Brain & Language, among others. He has coedited two books on Motor Speech Disorders. He serves as a member of the Editorial Board for Journal of Voice.

References

Alharbi, G. G., Cannito, M. P., Buder, E. H., & Awan, S. N. (2019). Spectral/cepstral analyses of phonation in Parkinson’s disease before and after voice treatment: A preliminary study. Folia Phoniatrica Et Logopaedica, 71(5-6), 275-285. https://doi.org/10.1159/00049583710.1159/000495837Suche in Google Scholar

Alharbi, G. G., Cannito, M. P., Buder, E. H., & Awan, S. N. (2021). Spectral/cepstral analyses of connected speech in Parkinson’s disease as compared with sustained phonation before and after voice treatment. Clinical Archives of Communication Disorders, 6(2), 89-103. https://doi.org/10.21849/cacd.2021.0041610.21849/cacd.2021.00416Suche in Google Scholar

American Speech-Language-Hearing Association. (n.d.). Voice disorders. https://www.asha.org/practiceportal/clinical-topics/voice-disorders/Suche in Google Scholar

Awan, S. N. (2011). Analysis of dysphonia in speech and voice (ADSVTM). KayPENTAX. https://www.pentaxmedical.com/pentax/en/99/1/Analysis-of-Dysphonia-in-Speech-and-Voice-ADSVSuche in Google Scholar

Awan, S. N., Giovinco, A., & Owens, J. (2012). Effects of vocal intensity and vowel type on cepstral analysis of voice. Journal of Voice, 26(5), 670.e615-620. https://doi.org/10.1016/j.jvoice.2011.12.00110.1016/j.jvoice.2011.12.001Suche in Google Scholar

Awan, S. N., & Roy, N. (2006). Toward the development of an objective index of dysphonia severity: A four-factor acoustic model. Clinical Linguistics and Phonetics, 20(1), 35-49. https://doi.org/10.1080/0269920040000835310.1080/02699200400008353Suche in Google Scholar

Awan, S. N., & Roy, N. (2009). Outcomes Measurement in Voice Disorders: Application of an Acoustic Index of Dysphonia Severity. Journal of Speech, Language, and Hearing Research, 52(2), 482-499. https://doi.org/10.1044/1092-4388(2008/08-0034)10.1044/1092-4388(2009/08-0034)Suche in Google Scholar

Awan, S. N., Roy, N., Jetté, M. E., Meltzner, G. S., & Hillman, R. E. (2010). Quantifying dysphonia severity using a spectral/cepstral-based acoustic index: Comparisons with auditory-perceptual judgements from the CAPE-V. Clinical Linguistics and Phonetics, 24(9), 742-758. https://doi.org/10.3109/02699206.2010.49244610.3109/02699206.2010.492446Suche in Google Scholar

Behrman, A. (2018). Speech and voice science (3rd ed.). Plural Publishing, Inc.Suche in Google Scholar

Boersma, P., & Weenink, D. (2022). Praat: Doing phonetics by computer [Computer program]. http://www.praat.org/Suche in Google Scholar

Boutsen, F. R., Park, E., & Dvorak, J. D. (2022). An efficacy study of voice quality using cepstral analyses of phonation in Parkinson’s Disease before and after SPEAK-OUT!®. Folia Phoniatr Logop. https://doi.org/10.1159/00052588410.1159/000525884Suche in Google Scholar

Brinca, L. F., Batista, A. P. F., Tavares, A. I., Gonçalves, I. C., & 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(3), 282-286. https://doi.org/10.1016/j.jvoice.2013.10.00110.1016/j.jvoice.2013.10.001Suche in Google Scholar

Buckley, D. P., Abur, D., & Stepp, C. E. (2023). Normative values of cepstral peak prominence measures in typical speakers by sex, speech stimuli, and software type across the life span. American Journal of Speech-Language Pathology, 32(4), 1565-1577. https://doi.org/10.1044/2023_AJSLP-22-0026410.1044/2023_AJSLP-22-00264Suche in Google Scholar

Cannito, M., Roussel, N., Tetnowski, J., Schiller, K., LeDoux, M., Buder, E., Royal-Evans, C., & Narayana, S. (2020). Effect of combined modality treatment on sustained phonation in Parkinson’s disease. MDS Virtual Congress 2020, https://www.mdsabstracts.org/abstract/effect-of-combined-modality-treatment-onsustained-phonation-in-parkinsons-disease/Suche in Google Scholar

Commission, I. E. (2013). International standard IEC 61672-1: Electroacoustics—Sound level meters—Part 1: Specifications. https://webstore.iec.ch/publication/5708Suche in Google Scholar

Darley, F. L., Aronson, A. E., & Brown, J. R. (1969a). Clusters of deviant speech dimensions in the dysarthrias. Journal of Speech, Language, and Hearing Research, 12(3), 462-496.10.1044/jshr.1203.462Suche in Google Scholar

Darley, F. L., Aronson, A. E., & Brown, J. R. (1969b). Differential diagnostic patterns of dysarthria. Journal of Speech, Language, and Hearing Research, 12(2), 246-269.10.1044/jshr.1202.246Suche in Google Scholar

Dromey, C., Nissen, S. L., Roy, N., & Merrill, R. M. (2008). Articulatory changes following treatment of muscle tension dysphonia: Preliminary acoustic evidence. Journal of Speech, Language, and Hearing Research, 51(1), 196-208. https://doi.org/10.1044/1092-4388(2008/015)10.1044/1092-4388(2008/015)Suche in Google Scholar

Fairbanks, G. (1960). Voice and Articulation Drillbook. Harper & Brothers.Suche in Google Scholar

Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975). “Mini-mental state”: A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12(3), 189-198. https://doi.org/10.1016/0022-3956(75)90026-610.1016/0022-3956(75)90026-6Suche in Google Scholar

Fraile, R., & Godino-Llorente, J. I. (2014). Cepstral peak prominence: A comprehensive analysis. Biomedical Signal Processing and Control, 14, 42-54. https://doi.org/10.1016/j.bspc.2014.07.00110.1016/j.bspc.2014.07.001Suche in Google Scholar

Hasanvand, A., Salehi, A., & Ebrahimipour, M. (2017). A cepstral analysis of normal and pathologic voice qualities in Iranian adults: A comparative study. Journal of Voice, 31(4), 508.e517-508.e523. https://doi.org/10.1016/j.jvoice.2016.10.01710.1016/j.jvoice.2016.10.017Suche in Google Scholar

Heman-Ackah, Y. D., Heuer, R. J., Michael, D. D., Ostrowski, R., Horman, M., Baroody, M. M., Hillenbrand, J., & Sataloff, R. T. (2003). Cepstral peak prominence: A more reliable measure of dysphonia. Annals of Otology, Rhinology & Laryngology, 112(4), 324-333. https://doi.org/10.1177/00034894031120040610.1177/000348940311200406Suche in Google Scholar

Heman-Ackah, Y. D., Michael, D. D., & Goding, G. S., Jr. (2002). The relationship between cepstral peak prominence and selected parameters of dysphonia. Journal of Voice, 16(1), 20-27. https://doi.org/10.1016/S0892-1997(02)00067-X10.1016/S0892-1997(02)00067-XSuche in Google Scholar

Heman-Ackah, Y. D., Sataloff, R. T., Laureyns, G., Lurie, D., Michael, D. D., Heuer, R., Rubin, A., Eller, R., Chandran, S., Abaza, M., Lyons, K., Divi, V., Lott, J., Johnson, J., & Hillenbrand, J. (2014). Quantifying the cepstral peak prominence, a measure of dysphonia. Journal of Voice, 28(6), 783-788. https://doi.org/10.1016/j.jvoice.2014.05.00510.1016/j.jvoice.2014.05.005Suche in Google Scholar

Hillenbrand, J., Cleveland, R. A., & Erickson, R. L. (1994). Acoustic correlates of breathy vocal quality. Journal of Speech, Language, and Hearing Research, 37(4), 769-778. https://doi.org/10.1044/jshr.3704.76910.1044/jshr.3704.769Suche in Google Scholar

Hillenbrand, J., & Houde, R. A. (1996). Acoustic correlates of breathy vocal quality: Dysphonic voices and continuous speech. Journal of Speech, Language, and Hearing Research, 39(2), 311-321. https://doi.org/10.1044/jshr.3902.31110.1044/jshr.3902.311Suche in Google Scholar

Jankovic, J. (2008). Parkinson’s disease: Clinical features and diagnosis. Journal of Neurology, Neurosurgery and Psychiatry, 79(4), 368-376. https://doi.org/10.1136/jnnp.2007.13104510.1136/jnnp.2007.131045Suche in Google Scholar

Jannetts, S., & Lowit, A. (2014). Cepstral analysis of hypokinetic and ataxic voices: Correlations with perceptual and other acoustic measures. Journal of Voice, 28(6), 673-680. https://doi.org/10.1016/j.jvoice.2014.01.01310.1016/j.jvoice.2014.01.013Suche in Google Scholar

Kitayama, I., Hosokawa, K., Iwahashi, T., Iwahashi, M., Iwaki, S., Kato, C., Yoshida, M., Umatani, M., Matsushiro, N., Ogawa, M., & Inohara, H. (2020). Intertext variability of smoothed cepstral peak prominence, methods to control It, and its diagnostic properties. Journal of Voice, 34(3), 305-319. https://doi.org/10.1016/j.jvoice.2018.09.02110.1016/j.jvoice.2018.09.021Suche in Google Scholar

Li, Q., Millard, K., Tetnowski, J., Narayana, S., & Cannito, M. (2023). Acoustic analysis of intonation in persons with Parkinson’s disease receiving transcranial magnetic stimulation and intensive voice treatment. Journal of Voice, 37(2), 203-214. https://doi.org/10.1016/j.jvoice.2020.12.01910.1016/j.jvoice.2020.12.019Suche in Google Scholar

Mahalingam, S., Boominathan, P., Arunachalam, R., Venkatesh, L., & Srinivas, S. (2021). Cepstral measures to analyze vocal fatigue in individuals with hyperfunctional voice disorder. Journal of Voice, 35(6), 815-821. https://doi.org/10.1016/j.jvoice.2020.02.00710.1016/j.jvoice.2020.02.007Suche in Google Scholar

Maryn, Y., & Weenink, D. (2015). Objective dysphonia measures in the program Praat: Smoothed cepstral peak prominence and Acoustic Voice Quality Index. Journal of Voice, 29(1), 35-43. https://doi.org/10.1016/j.jvoice.2014.06.01510.1016/j.jvoice.2014.06.015Suche in Google Scholar

Mohammed, A. A., & Nagy, A. (2021). Fundamental Frequency and Jitter Percent in MDVP and PRAAT. Journal of Voice. https://doi.org/10.1016/j.jvoice.2021.03.00810.1016/j.jvoice.2021.03.008Suche in Google Scholar

Murray, E. S. H., Chao, A., & Colletti, L. (2022). A practical guide to calculating cepstral peak prominence in praat. Journal of Voice. https://doi.org/10.1016/j.jvoice.2022.09.00210.1016/j.jvoice.2022.09.002Suche in Google Scholar

Murton, O., Hillman, R., & Mehta, D. (2020). Cepstral peak prominence values for clinical voice evaluation. American Journal of Speech-Language Pathology, 29(3), 1596-1607. https://doi.org/10.1044/2020_AJSLP-20-0000110.1044/2020_AJSLP-20-00001Suche in Google Scholar

Narayana, S., & Cannito, M. (2014). Augmenting Treatment Effects of Voice Therapy in Parkinson’s Disease [Grant]. Memphis, Tennessee, United States.Suche in Google Scholar

Noll, A. M. (1964). Short - time spectrum and “cepstrum” techniques for vocal - pitch detection. The Journal of the Acoustical Society of America, 36(2), 296-302. https://doi.org/10.1121/1.191894910.1121/1.1918949Suche in Google Scholar

Patel, R. R., Awan, S. N., Barkmeier-Kraemer, J., Courey, M., Deliyski, D., Eadie, T., Paul, D., Švec, J. G., & Hillman, R. (2018). Recommended protocols for instrumental assessment of voice: American Speech-Language-Hearing Association expert panel to develop a protocol for instrumental assessment of vocal function. American Journal of Speech-Language Pathology, 27(3), 887-905. https://doi.org/10.1044/2018_AJSLP-17-000910.1044/2018_AJSLP-17-0009Suche in Google Scholar

Ramig, L., Halpern, A., Spielman, J., Fox, C., & Freeman, K. (2018). Speech treatment in Parkinson’s disease: Randomized controlled trial (RCT). Movement Disorders, 33(11), 1777-1791. https://doi.org/10.1002/mds.2746010.1002/mds.27460Suche in Google Scholar

Riesgo, C. A. F., & Nöth, E. (2020). What makes the cepstral peak prominence different to other acoustic correlates of vocal quality? Journal of Voice, 34(5), 806. e801-806. e806. https://doi.org/10.1016/j.jvoice.2019.01.00410.1016/j.jvoice.2019.01.004Suche in Google Scholar

Sauder, C., Bretl, M., & 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(5), 557-566. https://doi.org/10.1016/j.jvoice.2017.01.00610.1016/j.jvoice.2017.01.006Suche in Google Scholar

Selamtzis, A., Castellana, A., Salvi, G., Carullo, A., & Astolfi, A. (2019). Effect of vowel context in cepstral and entropy analysis of pathological voices. Biomedical Signal Processing and Control, 47, 350-357. https://doi.org/10.1016/j.bspc.2018.08.02110.1016/j.bspc.2018.08.021Suche in Google Scholar

Taylor, S., Dromey, C., Nissen, S. L., Tanner, K., Eggett, D., & Corbin-Lewis, K. (2020). Age-related changes in speech and voice: Spectral and cepstral measures. Journal of Speech, Language, and Hearing Research, 63(3), 647-660. https://doi.org/10.1044/2019_JSLHR-19-0002810.1044/2019_JSLHR-19-00028Suche in Google Scholar

Watts, C. R., & Awan, S. N. (2011). Use of spectral/cepstral analyses for differentiating normal from hypofunctional voices in sustained vowel and continuous speech contexts. Journal of Speech, Language, and Hearing Research, 54(6), 1525-1537. https://doi.org/10.1044/1092-4388(2011/10-0209)10.1044/1092-4388(2011/10-0209)Suche in Google Scholar

Watts, C. R., Awan, S. N., & Maryn, Y. (2017). A comparison of cepstral peak prominence measures from two acoustic analysis programs. Journal of Voice, 31(3), 387.e381-387.e310. https://doi.org/10.1016/j.jvoice.2016.09.01210.1016/j.jvoice.2016.09.012Suche in Google Scholar

Published Online: 2024-12-07
Published in Print: 2024-11-26

© 2024 BFSU, FLTRP, Walter de Gruyter, Cultural and Education Section British Embassy

Heruntergeladen am 20.11.2025 von https://www.degruyterbrill.com/document/doi/10.1515/CJAL-2024-0407/html?lang=de
Button zum nach oben scrollen