Browse > Article

Acoustic analysis of fricatives in dysarthric speakers with cerebral palsy  

Hernandez, Abner (Department of Linguistics, Seoul National University)
Lee, Ho-young (Department of Linguistics, Seoul National University)
Chung, Minhwa (Department of Linguistics, Seoul National University)
Publication Information
Phonetics and Speech Sciences / v.11, no.3, 2019 , pp. 23-29 More about this Journal
This study acoustically examines the quality of fricatives produced by ten dysarthric speakers with cerebral palsy. Previous similar studies tend to focus only on sibilants, but to obtain a better understanding of how dysarthria affects fricatives we selected a range of samples with different places of articulation and voicing. The Universal Access (UA) Speech database was used to select thirteen words beginning with one of the English fricatives (/f/, /v/, /s/, /z/, /ʃ/, /ð/). The following four measurements were taken for both dysarthric and healthy speakers: phoneme duration, mean spectral peak, variance and skewness. Results show that even speakers with mild dysarthria have significantly longer fricatives and a lower mean spectral peak than healthy speakers. Furthermore, mean spectral peak and variance showed significant group effects for both healthy and dysarthric speakers. Mean spectral peak and variance was also useful for discriminating several places of articulation for both groups. Lastly, spectral measurements displayed important group differences when taking severity into account. These findings show that in general there is a degradation in the production of fricatives for dysarthric speakers, but difference will depend on the severity of dysarthria along with the type of measurement taken.
acoustic analysis; dysarthria; fricative;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Antolík, T., & Fougeron, C. (2013, January). Consonant distortions in dysarthria due to Parkinson's disease, amyotrophic lateral sclerosis and cerebellar ataxia. Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech (pp. 2152-2156). Lyon, France.
2 Boersma, P., & Weenink, D. (2019). Praat: Doing phonetics by computer (version 6.0.52) [Computer Program]. Retrieved from
3 Chen, H., & Stevens, K. N. (2001). An acoustical study of the fricative /s/ in the speech of individuals with dysarthria. Journal of Speech, Language, and Hearing Research, 44(6), 1300-1314.
4 Flint, A. J., Black, S. E., Campbell-Taylor, I., Gailey, G. F., & Levinton, C. (1992). Acoustic analysis in the differentiation of Parkinson's disease and major depression. Journal of Psycholinguistic Research, 21(5), 383-389.   DOI
5 Jongman, A., Wayland, R., & Wong, S. (2000). Acoustic characteristics of English fricatives. The Journal of the Acoustical Society of America, 108(3), 1252-1263.   DOI
6 Kim, H., Hasegawa-Johnson, M., & Perlman, A. (2011). Vowel contrast and speech intelligibility in dysarthria. Folia Phoniatrica et Logopaedica, 63(4), 187-194.   DOI
7 Kim, H., Hasegawa-Johnson, M., Perlman, A., Gunderson, J., Huang, T. S., Watkin, K., & Frame, S. (2008). Dysarthric speech database for universal access research. Proceedings of the Ninth Annual Conference of the International Speech Communication Association (pp. 1741-1744). Brisbane, Australia.
8 Kim, H., Martin, K., Hasegawa-Johnson, M., & Perlman, A. (2010). Frequency of consonant articulation errors in dysarthric speech. Clinical Linguistics & Phonetics, 24(10), 759-770.   DOI
9 Kim Y. (2017). Acoustic characteristics of fricatives /s/ and /$\int$/ produced by speakers with Parkinson's disease. Clinical Archives of Communication Disorders, 2(1), 7-14.   DOI
10 Liu, H. M., Tsao, F. M., & Kuhl, P. K. (2005). The effect of reduced vowel working space on speech intelligibility in Mandarinspeaking young adults with cerebral palsy. The Journal of the Acoustical Society of America, 117(6), 3879-3889.   DOI
11 Morris, R. J. (1989). VOT and dysarthria: A descriptive study. Journal of Communication Disorders, 22(1), 23-33.   DOI
12 Rudzicz, F. (2010, December). Learning mixed acoustic/articulatory models for disabled speech. Proceedings of the Workshop on Machine Learning for Assistive Technologies. The Twenty Fourth Annual Conference on Neural Information Processing Systems NIPS (pp. 70-78). Toronto, Canada.
13 Tjaden, K., & Turner, G. S. (1997). Spectral properties of fricatives in amyotrophic lateral sclerosis. Journal of Speech, Language, and Hearing Research, 40(6), 1358-1372.   DOI
14 Yang, M., Choi, Y., Kim, E. Y., & Yoo, H. J. (2018). Acousticphonetic characteristics of fricatives distortion in functional articulation disorders. Phonetics and Speech Sciences, 10(4), 127-134.   DOI
15 Yoon, T. J. (2018). A corpus-based study on the effects of voicing and gender on American English Fricatives. Phonetics and Speech Sciences, 10(2), 7-14.   DOI