No access
Research Note
17 February 2021

Generalized Learning of Dysarthric Speech Between Male and Female Talkers

Publication: Journal of Speech, Language, and Hearing Research
Volume 64, Number 2
Pages 444-451

Abstract

Purpose

Perceptual training is a listener-targeted means for improving intelligibility of dysarthric speech. Recent work has shown that training with one talker generalizes to a novel talker of the same sex and that the magnitude of benefit is maximized when the talkers are perceptually similar. The current study expands previous findings by investigating whether perceptual training effects generalize between talkers of different sex.

Method

Forty new listeners were recruited for this study and completed a pretest, familiarization, and posttest perceptual training paradigm. Historical data collected using the same three-phase protocol were included in the data analysis. All listeners were exposed to the same talker with dysarthria during the pretest and posttest phases. For the familiarization phase, listeners were exposed to one of four talkers with dysarthria, differing in sex and level of perceptual similarity to the test talker or a control talker. During the testing phases, listener transcribed phrases produced by the test talker with dysarthria. Listener transcriptions were then used to calculate a percent words correct intelligibility score.

Results

Multiple linear regression analysis revealed that intelligibility at posttest was not predicted by sex of the training talker. Consistent with earlier work, the magnitude of intelligibility gain was greater when the familiarization and test talkers were perceptually similar. Additional analyses revealed greater between-listeners variability in the dissimilar conditions as compared to the similar conditions.

Conclusions

Learning as a result of perceptual training with one talker with dysarthria generalized to another talker regardless of sex. In addition, listeners trained with perceptually similar talkers had greater and more consistent intelligibility improvement. Together, these results add to previous evidence demonstrating that learning generalizes to novel talkers with dysarthria and that perceptual training is suitable for many listeners.

Get full access to this article

View all available purchase options and get full access to this article.

References

Borrie, S. A., Barrett, T. S., & Yoho, S. E. (2019). Autoscore: An open-source automated tool for scoring listener perception of speech. The Journal of the Acoustical Society of America, 145(1), 392–399.
Borrie, S. A., Lansford, K. L., & Barrett, T. S. (2017a). Generalized adaptation to dysarthric speech. Journal of Speech, Language, and Hearing Research, 60(11), 3110–3117.
Borrie, S. A., Lansford, K. L., & Barrett, T. S. (2017b). Rhythm perception and its role in perception and learning of dysrhythmic speech. Journal of Speech, Language, and Hearing Research, 60(3), 561–570.
Borrie, S. A., Lansford, K. L., & Barrett, T. S. (2018). Understanding dysrhythmic speech: When rhythm does not matter and learning does not happen. The Journal of the Acoustical Society of America, 143(5), EL379–EL385.
Borrie, S. A., McAuliffe, M. J., & Liss, J. M. (2012). Perceptual learning of dysarthric speech: A review of experimental studies. Journal of Speech, Language, and Hearing Research, 55(1), 290–305.
Borrie, S. A., McAuliffe, M. J., Liss, J. M., Kirk, C., O'Beirne, G. A., & Anderson, T. (2012). Familiarisation conditions and the mechanisms that underlie improved recognition of dysarthric speech. Language and Cognitive Processes, 27(7–8), 1039–1055.
Bradlow, A. R., & Bent, T. (2008). Perceptual adaptation to non-native speech. Cognition, 106(2), 707–729.
Feltz, C. J., & Miller, G. E. (1996). An asymptotic test for the equality of coefficients of variation from k populations, Statistics in Medicine, 15(6), 647–658.
Guo, Y. E., & Togher, L. (2008). The impact of dysarthria on everyday communication after traumatic brain injury: A pilot study. Brain Injury, 22(1), 83–97.
Hillenbrand, J., Getty, L. A., Clark, M. J., & Wheeler, K. (1995). Acoustic characteristics of American English vowels. The Journal of the Acoustical Society of America, 97(5), 3099–3111.
Hsu, S. C., McAuliffe, M. J., Lin, P., Wu, R.-M., & Levy, E. S. (2019). Acoustic and perceptual consequences of speech cues for Mandarin speakers with Parkinson's disease. American Journal of Speech-Language Pathology, 28(2), 521–535.
Huyck, J. J., Smith, R. H., Hawkins, S., & Johnsrude, I. S. (2017). Generalization of perceptual learning of degraded speech across talkers. Journal of Speech, Language, and Hearing Research, 60(11), 3334–3341.
Ingvalson, E. M., Lansford, K. L., Federova, V., & Fernandez, G. (2017a). Listeners' attitudes toward accented talkers uniquely predicts accented speech perception. The Journal of the Acoustical Society of America, 141(3), EL234–EL238.
Ingvalson, E. M., Lansford, K. L., Federova, V., & Fernandez, G. (2017b). Receptive vocabulary, cognitive flexibility, and inhibitory control differentially predict older and younger adults' success perceiving speech by talkers with dysarthria. Journal of Speech, Language, and Hearing Research, 60(12), 3632–3641.
Kim, H. (2016). Familiarization effects on consonant intelligibility in dysarthric speech. Folia Phoniatrica et Logopaedica, 67(5), 245–252.
Kim, H., & Nanney, S. (2014). Familiarization effects on word intelligibility in dysarthric speech. Folia Phoniatrica et Logopaedica, 66(6), 258–264.
Kleinschmidt, D. F., & Florian Jaeger, T. (2015). Robust speech perception: Recognize the familiar, generalize to the similar, and adapt to the novel. Psychological Review, 122(2), 148–203.
Kraljic, T., & Samuel, A. G. (2005). Perceptual learning for speech: Is there a return to normal? Cognitive Psychology, 51(2), 141–178.
Kraljic, T., & Samuel, A. G. (2006). Generalization in perceptual learning for speech. Psychonomic Bulletin and Review, 13(2), 262–268.
Kraljic, T., & Samuel, A. G. (2007). Perceptual adjustments to multiple speakers. Journal of Memory and Language, 56(1), 1–15.
Lam, J., & Tjaden, K. (2016). Clear speech variants: An acoustic study in Parkinson's disease. Journal of Speech, Language, and Hearing Research, 59(4), 631–646.
Lansford, K. L., Borrie, S. A., & Barrett, T. S. (2019). Regularity matters: Unpredictable speech degradation inhibits adaptation to dysarthric speech. Journal of Speech, Language, and Hearing Research, 62(12), 4282–4290.
Lansford, K. L., Borrie, S. A., & Bystricky, L. (2016). Use of crowdsourcing to assess the ecological validity of perceptual-training paradigms in dysarthria. American Journal of Speech-Language Pathology, 25(2), 233–239.
Lansford, K. L., & Liss, J. M. (2014a). Vowel acoustics in dysarthria: Mapping to perception. Journal of Speech, Language, and Hearing Research, 57(1), 68–80.
Lansford, K. L., & Liss, J. M. (2014b). Vowel acoustics in dysarthria: Speech disorder diagnosis and classification. Journal of Speech, Language, and Hearing Research, 57(1), 57–67.
Lansford, K. L., Liss, J. M., & Norton, R. E. (2014). Free-classification of perceptually similar speakers with dysarthria. Journal of Speech, Language, and Hearing Research, 57(6), 2051–2064.
Lansford, K. L., Luhrsen, S., Ingvalson, E. M., & Borrie, S. A. (2018). Effects of familiarization on intelligibility of dysarthric speech in older adults with and without hearing loss. American Journal of Speech-Language Pathology, 27(1), 91–98.
Levy, E. S., Chang, Y. M., Ancelle, J. A., & McAuliffe, M. J. (2017). Acoustic and perceptual consequences of speech cues for children with dysarthria. Journal of Speech, Language, and Hearing Research, 60(6S), 1766–1779.
Liss, J. M. (2007). The role of speech perception in motor speech disorders. In G. Weismer (Ed.), Motor speech disorders: Essays for Ray Kent (pp. 186–219). Plural.
Mahler, L. A., & Ramig, L. O. (2012). Intensive treatment of dysarthria secondary to stroke. Clinical Linguistics and Phonetics, 26(8), 681–694.
Mahler, L. A., Ramig, L. O., & Fox, C. (2015). Evidence-based treatment of voice and speech disorders in Parkinson disease. Current Opinion in Otolaryngology & Head and Neck Surgery, 23(3), 209–215.
McAuliffe, M. J., Gibson, E. M. R., Kerr, S. E., Anderson, T., & Lashell, P. J. (2013). Vocabulary influences older and younger listeners' processing of dysarthric speech. The Journal of the Acoustical Society of America, 134(2), 1358–1368.
Peterson, G. E., & Barney, H. L. (1952). Control methods used in a study of the vowels. The Journal of the Acoustical Society of America, 24(2), 175–184.
Ramig, L. O., Sapir, S., Countryman, S., Pawlas, A. A., O'brien, C., Hoehn, M., & Thompson, L. L. (2001). Intensive voice treatment (LSVT®) for patients with Parkinson's disease: A 2 year follow-up. Journal of Neurology, Neurosurgery, & Psychiatry, 71(4), 493–498.
Titze, I. R. (1989). Physiologic and acoustic differences between male and female voices. The Journal of the Acoustical Society of America, 85(4), 1699–1707.
Tjaden, K., Richards, E., Kuo, C., Wilding, G., & Sussman, J. (2013). Acoustic and perceptual consequences of clear and loud speech. Folia Phoniatrica et Logopaedica, 65(4), 214–220.
Tzeng, C. Y., & Nygaard, L. C. (2012). The effect of training structure on perceptual learning of accented speech. The Journal of the Acoustical Society of America, 131(4), 3310–3310.
Weismer, G., & Kim, Y. (2010). Classification and taxonomy of motor speech disorders: What are the issues? In B. Maassen & P. van Lieshout (Eds.), Speech motor control: New developments in basic and applied research (pp. 229–242). OUP Oxford.
Xie, X., Liu, L., & Jaeger, T. F. (2020). Cross-talker generalization in the perception of non-native speech: A large-scale replication. Open Science Framework, 1–79.
Xie, X., & Myers, E. B. (2017). Learning a talker or learning an accent: Acoustic similarity constrains generalization of foreign accent adaptation to new talkers. Journal of Memory and Language, 97, 30–46.
Yorkston, K., Baylor, C., & Britton, D. (2017). Speech versus speaking: The experiences of people with Parkinson's disease and implications for intervention. American Journal of Speech-Language Pathology, 26(1), 561–568.

Information & Authors

Information

Published In

Journal of Speech, Language, and Hearing Research
Volume 64Number 2February 2021
Pages: 444-451
PubMed: 33508210

History

  • Received: Jun 4, 2020
  • Revised: Sep 28, 2020
  • Accepted: Oct 21, 2020
  • Published online: Jan 28, 2021
  • Published in issue: Feb 17, 2021

Permissions

Request permissions for this article.

Authors

Affiliations

School of Communication Science and Disorders, Florida State University, Tallahassee
School of Communication Science and Disorders, Florida State University, Tallahassee
Tyson S. Barrett
Department of Psychology, Utah State University, Logan
Department of Communicative Disorders and Deaf Education, Utah State University, Logan

Notes

Disclosure: The authors have declared that no competing interests existed at the time of publication.
Correspondence to Micah E. Hirsch: [email protected]
Editor-in-Chief: Bharath Chandrasekaran
Editor: Kate Bunton

Metrics & Citations

Metrics

Article Metrics
View all metrics



Citations

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

For more information or tips please see 'Downloading to a citation manager' in the Help menu.

Citing Literature

  • Increasing Motivation Increases Intelligibility Benefits of Perceptual Training in Dysarthria, American Journal of Speech-Language Pathology, 10.1044/2024_AJSLP-24-00196, 34, 1, (85-96), (2024).
  • A Strategic Approach for Robust Dysarthric Speech Recognition, Wireless Personal Communications, 10.1007/s11277-024-11029-y, 134, 4, (2315-2346), (2024).
  • Cognitive Predictors of Perception and Adaptation to Dysarthric Speech in Young Adult Listeners, Journal of Speech, Language, and Hearing Research, 10.1044/2022_JSLHR-22-00391, 66, 1, (30-47), (2022).
  • The Reliability and Validity of Speech-Language Pathologists’ Estimations of Intelligibility in Dysarthria, Brain Sciences, 10.3390/brainsci12081011, 12, 8, (1011), (2022).
  • Perceptual Learning of Altered Vowel Space Improves Identification of Vowels Produced by Individuals With Dysarthria Secondary to Amyotrophic Lateral Sclerosis, Journal of Speech, Language, and Hearing Research, 10.1044/2022_JSLHR-21-00567, 65, 6, (2204-2214), (2022).
  • A Perceptual Learning Approach for Dysarthria Remediation: An Updated Review, Journal of Speech, Language, and Hearing Research, 10.1044/2021_JSLHR-21-00012, 64, 8, (3060-3073), (2021).
  • A Clinical Advantage: Experience Informs Recognition and Adaptation to a Novel Talker With Dysarthria, Journal of Speech, Language, and Hearing Research, 10.1044/2021_JSLHR-20-00663, 64, 5, (1503-1514), (2021).

View Options

Sign In Options

ASHA member? If so, log in with your ASHA website credentials for full access.

Member Login

View options

PDF

View PDF

Full Text

View Full Text

Figures

Tables

Media

Share

Share

Copy the content Link

Share