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http://dx.doi.org/10.15207/JKCS.2019.10.9.193

Characteristics of Vowel Formants, Voice Intensity, and Fundamental Frequency of Female with Amyotrophic Lateral Sclerosis using Spectrograms  

Byeon, Haewon (Department of Speech Language Pathology, Honam University)
Publication Information
Journal of the Korea Convergence Society / v.10, no.9, 2019 , pp. 193-198 More about this Journal
Abstract
This study analyzed the changes of vowel formant, voice intensity, and fundamental frequency of vowels for 11 months using acoustochemical spectrogram analysis of women diagnosed with amyotrophic lateral sclerosis (ALS). The test word was a vowel /a, i, u/ and a diphthong /h + ja + da/, /h + wi + da/, and /h +ɰi+ da/. Speech data were collected through the word reading task presented on the monitor using 'Alvin' program, and the recording environment was set to 5,500 Hz for the nyquist frequency and 11,000 Hz for the sampling rate. The records were analyzed by using spectrograms to vowel formants, voice intensity, and fundamental frequency. As a result of analysis, the fundamental frequency and intensity of the ALS process were decreased and the formant slope of the diphthong was decreased rather than the formant change in the vowel. This result suggests that the vowel distortion of ALS due to disease progression is due to the decrease of tongue and jaw co morbidity.
Keywords
Spectrogram; Acoustic analysis; Lou Gehrig's disease; Amyotrophic lateral sclerosis; Diphthong;
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1 M. C. Kiernan et al. (2011). Amyotrophic lateral sclerosis. The Lancet, 377(9769), 942-955.   DOI
2 A. C. Ludolph, J. Brettschneider, & J. H. Weishaupt, (2012). Amyotrophic lateral sclerosis. Current opinion in neurology, 25(5), 530-535.   DOI
3 L. J. Elias & M. S. Saucier. (2006) Neuropsychology: Clinical and Experimental Foundations. Boston; MA. Pearson Education Inc.
4 A. Chio, G. Logroscino, B. J. Traynor, J. Collins, J. C. Simeone, L. A. Goldstein, & L. A. White. (2013). Global epidemiology of amyotrophic lateral sclerosis: a systematic review of the published literature. Neuroepidemiology, 41(2), 118-130.   DOI
5 D. Freed (2011). Motor Speech Disorders: Diagnosis & Treatment. Clifton Park, NY: Cengage Learning.
6 C. York, L. Elman, L. McCluskey, S. Ash, & M. Grossman. (2014). Impaired Grammar in the Speech of Amyotrophic Lateral Sclerosis. Neurology, 82(10 Supplement), P2-168.   DOI
7 L. J. Ball, D. R. Beukelman & G. L. Pattee. (2004). Communication effectiveness of individuals with amyotrophic lateral sclerosis. Journal of Communication Disorders, 37(3), 197-215.   DOI
8 C. T. Ferrand. (2006). Speech Science: An Integrated Approach to Theory and Clinical Practice(3rd ed.). Boston; Allyn and Bacon.
9 G. Weismer, J. Y. Jeng, J. S. Laures, R. D. Kent & J. F. Kent. (2001). Acoustic and intelligibility characteristics of sentence production in neurogenic speech disorders. Folia Phoniatrica et Logopaedica, 53(1), 1-18.   DOI
10 S. Watanabe, K. Arasaki, H. Nagata, & S. Shouji. (1994). Analysis of dysarthria in amyotrophic lateral sclerosis. MRI of the tongue and formant analysis of vowels. Clinical neurology, 34(3), 217-223.
11 J. C. Hwang. (2016). Voice recognition performance improvement using the convergence of bayesian method and selective speech feature extraction. Journal of the Korea Convergence Society, 7(6), 7-11.   DOI
12 J. M. Hillenbrand, M. J. Clark, & T. M. Nearey. (2001). Effects of consonant environment on vowel formant patterns. The Journal of the Acoustical Society of America, 109(2), 748-763.   DOI
13 J. C. Hwang. (2017). Voice recognition performance improvement using the convergence of voice signal feature and silence feature normalization in cepstrum feature distribution. Journal of the Korea Convergence Society, 8(5), 13-17.   DOI
14 J. M. Hillenbrand. (2004). Alvin experiment-control software. http://homepages.wmich.edu/-hillenbr
15 B. Tomik, & R. J. Guiloff. (2010). Dysarthria in amyotrophic lateral sclerosis: a review. Amyotrophic Lateral Sclerosis, 11(1-2), 4-15.   DOI
16 J. Yi, Y. K. Kim, & G. J. Kim. (2017). A study on improving English pronunciation and intonation utilizing fluency improvement system. Journal of the Korea Convergence Society, 8(11), 1-6.   DOI
17 H. Byeon. (2010). Comparing the acoustic character of diphthong production between flaccid dysarthria and spastic dysarthria. Communication Sciences & Disorders, 15(1), 66-78.
18 Y. Yunusova, J. R. Green, M. J. Lindstrom, G. L. Pattee, & L. Zinman. (2013). Speech in ALS: longitudinal changes in lips and jaw movements and vowel acoustics. Journal of medical speech-language pathology, 21(1), 1-13.
19 Y. Kang, D. L. Na, & S. Hahn. (1997). A validity study on the Korean Mini-Mental State Examination (K-MMSE) in dementia patients. Journal of the Korean neurological association, 15(2), 300-308.
20 H. Byeon (2014). The Acoustic Characteristics of Korean Diphthongs in Speakers with Flaccid and Hypokinetic Dysarthria. Information Tokyo, 17(10B), 5297-5302.
21 Y. Yunusova, G. Weismer, & M. J. Lindstrom. (2011). Classifications of vocalic segments from articulatory kinematics: healthy controls and speakers with dysarthria. Journal of Speech, Language, and Hearing Research, 54(5), 1302-1311.   DOI
22 R. D. Kent, J. F. Kent, G. Weismer, R. F. Martin, R. L. Sufit, B. R. Brooks, & J. C. Rosenbek. (1989). Relationships between speech intelligibility and the slope of second-formant transitions in dysarthric subjects. Clinical Linguistics & Phonetics, 3(4), 347-358.   DOI
23 H. M. Sohn. (2001). The Korean Language. Cambridge, Cambridge University Press.
24 B. G. Yang. (1993), An Acoustical Study of Korean. Diphthongs, MALSORI, 25(1), 3-26.
25 G. S. Turner, K. Tjaden, & G. Weismer. (1995). The influence of speaking rate on vowel space and speech intelligibility for individuals with amyotrophic lateral sclerosis. Journal of Speech, Language, and Hearing Research, 38(5), 1001-1013.   DOI
26 H. Byeon, & S. Cho (2016). Cepstral analysis of connected speech of hypokinetic dysarthria and normal speakers. Advanced Science and Technology Letters, 132, 212-215.
27 Dongdaegu Child Development Center (2019). Use of Spectrogram in Language Diagnosis and Assessment. Dongdaegu Child Development Center [Online] http://blog.naver.com/PostView.nhn?blogId=ksc133&logNo=220610796408&redirect=Dlog&widgetTypeCall=true&directAccess=false.