Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease that affects bulbar functions including speech and voice. Voice onset time (VOT) was examined in speakers with ALS in early and late stages to explore the coordination of the articulatory and phonatory systems during speech production.

Method:

VOT was measured in nonword /bap/ produced by speakers with early-stage ALS (n = 11), late-stage ALS (n = 6), and healthy controls (n = 13), and compared with speech performance decline (a marker of disease progression) in ALS.

Results:

Overall comparison of the VOT values among the three groups showed a significant difference, F(2,27) = 11.71, p < .01. Speakers in late-stage ALS displayed longer voicing lead (negative VOT) than both healthy speakers and speakers in early-stage ALS. VOT was also significantly negatively correlated with speech performance (i.e., Intelligible Speaking Rate), r(15) = .74, p < .01.

Conclusions:

Speakers with more severe ALS showed greater occurrence of voicing lead and longer voicing lead. Findings show voicing precedes articulatory onset with disease progression in the production of bilabial stops, which suggests that the relative timing of coordination between the supralaryngeal structures and the phonatory system is affected in the late stage of ALS.

References

Ahn, S. (2018). The role of tongue position in laryngeal contrasts: An ultrasound study of English and Brazilian Portuguese.Journal of Phonetics, 71, 451–467. https://doi.org/10.1016/j.wocn.2018.10.003
Crossref Google Scholar
Allison, K. M., Yunusova, Y., Campbell, T. F., Wang, J., Berry, J. D., & Green, J. R. (2017). The diagnostic utility of patient-report and speech-language pathologists' ratings for detecting the early onset of bulbar symptoms due to ALS.Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration, 18(5–6), 358–366. https://doi.org/10.1080/21678421.2017.1303515
Crossref Medline Google Scholar
Auzou, P., Özsancak, C., Morris, R. J., Jan, M., Eustache, F., & Hannequin, D. (2000). Voice onset time in aphasia, apraxia of speech and dysarthria: A review.Clinical Linguistics & Phonetics, 14(2), 131–150. https://doi.org/10.1080/026992000298878
Crossref Google Scholar
Baken, R. J., & Orlikoff, R. F. (2000). Clinical measurement of speech and voice (2nd ed.). Singular Thomson Learning.
Google Scholar
Bandini, A., Green, J. R., Wang, J., Campbell, T. F., Zinman, L., & Yunusova, Y. (2018). Kinematic features of jaw and lips distinguish symptomatic from presymptomatic stages of bulbar decline in amyotrophic lateral sclerosis.Journal of Speech, Language, and Hearing Research, 61(5), 1118–1129. https://doi.org/10.1044/2018_JSLHR-S-17-0262
ASHAWire Google Scholar
Boersma, P., & Weenink, D. (2007). Praat (Version 6.1.11). https://uvafon.hum.uva.nl/praat/
Google Scholar
Bóna, J. (2014). Voice onset time and speakers' age: Data from Hungarian.Clinical Linguistics & Phonetics, 28(5), 366–372. https://doi.org/10.3109/02699206.2013.875593
Crossref Medline Google Scholar
Brooks, B. R., Miller, R. G., Swash, M., & Munsat, T. L. (2000). El Escorial revisited: Revised criteria for the diagnosis of amyotrophic lateral sclerosis.Amyotrophic Lateral Sclerosis and Other Motor Neuron Disorders, 1(5), 293–299. https://doi.org/10.1080/146608200300079536
Crossref Medline Google Scholar
Caruso, A. J., & Burton, E. K. (1987). Temporal acoustic measures of dysarthria associated with amyotrophic lateral sclerosis.Journal of Speech and Hearing Research, 30(1), 80–87. https://doi.org/10.1044/jshr.3001.80
ASHAWire Google Scholar
Davidson, L. (2016). Variability in the implementation of voicing in American English obstruents.Journal of Phonetics, 54, 35–50. https://doi.org/10.1016/j.wocn.2015.09.003
Crossref Google Scholar
Dmitrieva, O., Llanos, F., Shultz, A. A., & Francis, A. L. (2015). Phonological status, not voice onset time, determines the acoustic realization of onset f0 as a secondary voicing cue in Spanish and English.Journal of Phonetics, 49, 77–95. https://doi.org/10.1016/j.wocn.2014.12.005
Crossref Google Scholar
Dromey, C., & Ramig, L. O. (1998). The effect of lung volume on selected phonatory and articulatory variables.Journal of Speech, Language, and Hearing Research, 41(3), 491–502. https://doi.org/10.1044/jslhr.4103.491
ASHAWire Google Scholar
Field, A. (2013). Discovering statistics using IBM SPSS Statistics (4th ed.). Sage.
Google Scholar
Foerster, B. R., Welsh, R. C., & Feldman, E. L. (2013). 25 years of neuroimaging in amyotrophic lateral sclerosis.Nature Reviews Neurology, 9(9). https://doi.org/10.1038/nrneurol.2013.153
Crossref Medline Google Scholar
Gracco, V., & Löfqvist, A. (1994). Speech motor coordination and control: Evidence from lip, jaw, and laryngeal movements.The Journal of Neuroscience, 14(11), 6585–6597. https://doi.org/10.1523/JNEUROSCI.14-11-06585.1994
Crossref Medline Google Scholar
Green, J. R., Yunusova, Y., Kuruvilla, M. S., Wang, J., Pattee, G. L., Synhorst, L., Zinman, L., & Berry, J. D. (2013). Bulbar and speech motor assessment in ALS: Challenges and future directions.Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration, 14(7–8), 494–500. https://doi.org/10.3109/21678421.2013.817585
Crossref Medline Google Scholar
Hanson, E. K., Yorkston, K. M., & Britton, D. (2011). Dysarthria in amyotrophic lateral sclerosis: A systematic review of characteristics, speech treatment and augmentative and alternative communication options.Journal of Medical Speech-Language Pathology, 19(3), 12–30.
Google Scholar
Hoit, J. D., Solomon, N. P., & Hixon, T. J. (1993). Effect of lung volume on voice onset time (VOT).Journal of Speech and Hearing Research, 36(3), 516–520. https://doi.org/10.1044/jshr.3603.516
ASHAWire Google Scholar
Hunnicutt, L., & Morris, P. (2016). Pre-voicing and aspiration in Southern American English.University of Pennsylvania Working Papers in Linguistics, 22(1), 215–224.
Google Scholar
Janzen, V. D., Rae, R. E., & Hudson, A. J. (1988). Otolaryngologic manifestations of amyotrophic lateral sclerosis.The Journal of Otolaryngology, 17(1), 41–42.
Medline Google Scholar
Kent, R. D., Sufit, R. L., Rosenbek, J. C., Kent, J. F., Weismer, G., Martin, R. E., & Brooks, B. R. (1991). Speech deterioration in amyotrophic lateral sclerosis.Journal of Speech and Hearing Research, 34(6), 1269–1275. https://doi.org/10.1044/jshr.3406.1269
ASHAWire Google Scholar
Koo, T. K., & Li, M. Y. (2016). A guideline of selecting and reporting intraclass correlation coefficients for reliability research.Journal of Chiropractic Medicine, 15(2), 155–163. https://doi.org/10.1016/j.jcm.2016.02.012
Crossref Medline Google Scholar
Lisker, L., & Abramson, A. S. (1964). A cross-language study of voicing in initial stops: Acoustical measurements.WORD, 20(3), 384–422. https://doi.org/10.1080/00437956.1964.11659830
Crossref Google Scholar
Löfqvist, A., & Gracco, V. L. (1997). Lip and jaw kinematics in bilabial stop consonant production.Journal of Speech, Language, and Hearing Research, 40(4), 877–893. https://doi.org/10.1044/jslhr.4004.877
ASHAWire Google Scholar
Munhall, K. G., Löfqvist, A., & Kelso, J. A. S. (1994). Lip–larynx coordination in speech: Effects of mechanical perturbations to the lower lip.The Journal of the Acoustical Society of America, 95(6), 3605–3616. https://doi.org/10.1121/1.409929
Crossref Medline Google Scholar
Özsancak, C., Auzou, P., Jan, M., & Hannequin, D. (2001). Measurement of voice onset time in dysarthric patients: Methodological considerations.Folia Phoniatrica et Logopaedica, 53(1), 48–57. https://doi.org/10.1159/000052653
Crossref Medline Google Scholar
Rae, R. (2018). Measures of voice onset time: A methodological study. ProQuest Dissertations and Theses, May, 72.
Google Scholar
Rong, P., Yunusova, Y., Wang, J., & Green, J. R. (2015). Predicting early bulbar decline in amyotrophic lateral sclerosis: A speech subsystem approach.Behavioural Neurology, 2015, Article 183027. https://doi.org/10.1155/2015/183027
Google Scholar
Rong, P., Yunusova, Y., Wang, J., Zinman, L., Pattee, G. L., Berry, J. D., Perry, B., & Green, J. R. (2016). Predicting speech intelligibility decline in amyotrophic lateral sclerosis based on the deterioration of individual speech subsystems.PLOS ONE, 11(5), Article e0154971. https://doi.org/10.1371/journal.pone.0154971
Crossref Medline Google Scholar
Rosenfield, D. B., Viswanath, N., Herbrich, K. E., & Nudelman, H. B. (1991). Evaluation of the speech motor control system in amyotrophic lateral sclerosis.Journal of Voice, 5(3), 224–230. https://doi.org/10.1016/S0892-1997(05)80190-0
Crossref Google Scholar
Rothenberg, M. (2009). Voice onset time vs. articulatory modelling for stop consonants.Logopedics Phoniatrics Vocology, 34(4), 171–180. https://doi.org/10.3109/14015430903002270
Crossref Medline Google Scholar
Rowe, H. P., & Green, J. R. (2019). Profiling speech motor impairments in persons with amyotrophic lateral sclerosis: An acoustic-based approach.Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2019-September, 4509–4513. https://doi.org/10.21437/Interspeech.2019-2911
Google Scholar
Rowe, H. P., Gutz, S. E., Maffei, M. F., & Green, J. R. (2020). Acoustic-based articulatory phenotypes of amyotrophic lateral sclerosis and Parkinson's disease: Towards an interpretable, hypothesis-driven framework of motor control.Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2020-October, 4816–4820. https://doi.org/10.21437/Interspeech.2020-1459
Google Scholar
Smith, B. L. (1978). Effect of place of articulation and vowel environment on voiced stop consonant production.Glossa, 12, 163–175.
Google Scholar
Stipancic, K. L., Yunusova, Y., Campbell, T. F., Wang, J., Berry, J. D., & Green, J. R. (2021). Two distinct clinical phenotypes of bulbar motor impairment in amyotrophic lateral sclerosis.Frontiers in Neurology, 12. https://doi.org/10.3389/fneur.2021.664713
Crossref Medline Google Scholar
Torre, P., & Barlow, J. A. (2009). Age-related changes in acoustic characteristics of adult speech.Journal of Communication Disorders, 42(5), 324–333. https://doi.org/10.1016/j.jcomdis.2009.03.001
Crossref Medline Google Scholar
Wang, J., Kothalkar, P. v., Kim, M., Yunusova, Y., Campbell, T. F., Heitzman, D., & Green, J. R. (2016). Predicting intelligible speaking rate in individuals with amyotrophic lateral sclerosis from a small number of speech acoustic and articulatory samples.SLPAT 2016 Workshop on Speech and Language Processing for Assistive Technologies. https://doi.org/10.21437/SLPAT.2016-16
Google Scholar
Wang, J., Kothalkar, P. V., Kim, M., Bandini, A., Cao, B., Yunusova, Y., Campbell, T. F., Heitzman, D., & Green, J. R. (2018). Automatic prediction of intelligible speaking rate for individuals with ALS from speech acoustic and articulatory samples.International Journal of Speech-Language Pathology, 20(6), 669–679. https://doi.org/10.1080/17549507.2018.1508499
Crossref Medline Google Scholar
Wang, Y.-T., Kent, R. D., Duffy, J. R., Thomas, J. E., & Weismer, G. (2004). Alternating motion rate as an index of speech motor disorder in traumatic brain injury.Clinical Linguistics & Phonetics, 18(1), 57–84. https://doi.org/10.1080/02699200310001596160
Crossref Medline Google Scholar
Yorkston, K., Beukelman, D., Hakel, M., & Dorsey, M. (2007). Speech intelligibility test. Madonna Rehabilitation Hospital.
Google Scholar
Yorkston, K. M., & Beukelman, D. R. (1981). Communication efficiency of dysarthric speakers as measured by sentence intelligibility and speaking rate.Journal of Speech and Hearing Disorders, 46(3). https://doi.org/10.1044/jshd.4603.296
ASHAWire Google Scholar
Yunusova, Y., Green, J. R., Wang, J., Pattee, G., & Zinman, L. (2010). A protocol for comprehensive assessment of bulbar dysfunction in amyotrophic lateral sclerosis (ALS).Journal of Visualized Experiments, 48, 3–7. https://doi.org/10.3791/2422
Google Scholar