Startseite Rapid adaptation to time-compressed speech in young and older adults
Artikel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

Rapid adaptation to time-compressed speech in young and older adults

  • Ma’ayan Simhony , Michal Grinberg , Limor Lavie und Karen Banai EMAIL logo
Veröffentlicht/Copyright: 19. Juli 2014

Abstract

Background: The ability of human listeners to comprehend rapid speech improves quickly with experience, a process known as adaptation. Whether inefficient adaptation to rapid speech partially accounts for the marked difficulties of older listeners with rapid speech is not clear.

Methods: Two conditions of adaptation to time-compressed speech were used. A baseline condition intended to test the hypothesis that adaptation is different in older and younger listeners, and an interference condition in which sentences compressed to two different rates were interleaved. Identification accuracy was compared between two time points (before and after adaptation) and between older and younger listeners.

Results: The effects of adaptation did not differ between younger and older listeners in either adaptation condition.

Conclusions: It seems that once initial performance differences are taken into account, rapid adaptation to time-compressed speech is as effective and as immune to interference by competing speech rates in younger and older adults.


Corresponding author: Karen Banai, Department of Communication Sciences and Disorders, University of Haifa, Haifa, Israel, E-mail:

Acknowledgments

This study was supported by the National Institute of Psychobiology in Israel. Ma’ayan Simchony and Michal Grinberg conducted the study as part of an undergraduate research project. Both contributed equally to the study.

Conflict of interest statement

Authors’ conflict of interest disclosure: The authors stated that there are no conflicts of interest regarding the publication of this article. Research support played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.

Research funding: None declared.

Employment or leadership: None declared.

Honorarium: None declared.

References

1. Wingfield A, Tun PA. Spoken language comprehension in older adults: interactions between sensory and cognitive changes in normal aging. Semin Hear 2001;22:287–301.10.1055/s-2001-15632Suche in Google Scholar

2. Altmann TM, Young D. Factors affecting adaptation to time-compressed speech. EUROSPEECH’93. Berlin, 1993:333–6.10.21437/Eurospeech.1993-58Suche in Google Scholar

3. Dupoux E, Green K. Perceptual adjustment to highly compressed speech: effects of talker and rate changes. J Exp Psychol Hum Percept Perform 1997;23:914–27.10.1037/0096-1523.23.3.914Suche in Google Scholar

4. Pallier C, Sebastian-Galles N, Dupoux E, Christophe A, Mehler J. Perceptual adjustment to time-compressed speech: a cross-linguistic study. Mem Cognit 1998;26:844–51.10.3758/BF03211403Suche in Google Scholar

5. Sebastian-Galles N, Dupoux E, Costa A, Mehler J. Adaptation to time-compressed speech: phonological determinants. Percept Psychophys 2000;62:834–42.10.3758/BF03206926Suche in Google Scholar

6. Alain C, Snyder JS. Age-related differences in auditory evoked responses during rapid perceptual learning. Clin Neurophysiol 2008;119:356–66.10.1016/j.clinph.2007.10.024Suche in Google Scholar PubMed

7. Golomb JD, Peelle JE, Wingfield A. Effects of stimulus variability and adult aging on adaptation to time-compressed speech. J Acoust Soc Am 2007;121:1701–8.10.1121/1.2436635Suche in Google Scholar PubMed

8. Alain C, McDonald KL, Ostroff JM, Schneider B. Age-related changes in detecting a mistuned harmonic. J Acoust Soc Am 2001;109:2211–6.10.1121/1.1367243Suche in Google Scholar PubMed

9. Yamasoba T, Lin FR, Someya S, Kashio A, Sakamoto T, Kondo K. Current concepts in age-related hearing loss: epidemiology and mechanistic pathways. Hear Res 2013;303:30–8.10.1016/j.heares.2013.01.021Suche in Google Scholar PubMed PubMed Central

10. Peelle JE, Wingfield A. Dissociations in perceptual learning revealed by adult age differences in adaptation to time-compressed speech. J Exp Psychol Hum Percept Perform 2005;31:1315–30.10.1037/0096-1523.31.6.1315Suche in Google Scholar PubMed

11. Gordon-Salant S, Fitzgibbons PJ. Recognition of multiply degraded speech by young and elderly listeners. J Speech Hear Res 1995;38:1150–6.10.1044/jshr.3805.1150Suche in Google Scholar PubMed

12. Gordon-Salant S, Fitzgibbons PJ. Profile of auditory temporal processing in older listeners. J Speech Lang Hear Res 1999;42:300–11.10.1044/jslhr.4202.300Suche in Google Scholar

13. Gordon-Salant S, Fitzgibbons PJ. Sources of age-related recognition difficulty for time-compressed speech. J Speech Lang Hear Res 2001;44:709–19.10.1044/1092-4388(2001/056)Suche in Google Scholar

14. Wingfield A, Poon LW, Lombardi L, Lowe D. Speed of processing in normal aging: effects of speech rate, linguistic structure, and processing time. J Gerontol 1985;40:579–85.10.1093/geronj/40.5.579Suche in Google Scholar PubMed

15. Schneider BA, Daneman M, Murphy DR. Speech comprehension difficulties in older adults: cognitive slowing or age-related changes in hearing? Psychol Aging 2005;20:261–71.10.1037/0882-7974.20.2.261Suche in Google Scholar PubMed

16. Tun PA, Benichov J, Wingfield A. Response latencies in auditory sentence comprehension: effects of linguistic versus perceptual challenge. Psychol Aging 2010;25:730–5.10.1037/a0019300Suche in Google Scholar PubMed PubMed Central

17. Tun PA, McCoy S, Wingfield A. Aging, hearing acuity, and the attentional costs of effortful listening. Psychol Aging 2009;24:761–6.10.1037/a0014802Suche in Google Scholar PubMed PubMed Central

18. Wingfield A, McCoy SL, Peelle JE, Tun PA, Cox LC. Effects of adult aging and hearing loss on comprehension of rapid speech varying in syntactic complexity. J Am Acad Audiol 2006;17:487–97.10.3766/jaaa.17.7.4Suche in Google Scholar PubMed

19. Ahissar M, Nahum M, Nelken I, Hochstein S. Reverse hierarchies and sensory learning. Philos Trans R Soc Lond B Biol Sci 2009;364:285–99.10.1098/rstb.2008.0253Suche in Google Scholar PubMed PubMed Central

20. Amitay S. Forward and reverse hierarchies in auditory perceptual learning. Learn Percept 2009;1:59–68.10.1556/LP.1.2009.1.5Suche in Google Scholar

21. Hawkey DJ, Amitay S, Moore DR. Early and rapid perceptual learning. Nat Neurosci 2004;7:1055–6.10.1038/nn1315Suche in Google Scholar PubMed

22. Burk MH, Humes LE. Effects of long-term training on aided speech-recognition performance in noise in older adults. J Speech Lang Hear Res 2008;51:759–71.10.1044/1092-4388(2008/054)Suche in Google Scholar

23. Gordon-Salant S, Yeni-Komshian GH, Fitzgibbons PJ, Schurman J. Short-term adaptation to accented English by younger and older adults. J Acoust Soc Am 2010;128:EL200–4.10.1121/1.3486199Suche in Google Scholar PubMed PubMed Central

24. Prior A, Bentin S. Differential integration efforts of mandatory and optional sentence constituents. Psychophysiology 2006;43:440–9.10.1111/j.1469-8986.2006.00426.xSuche in Google Scholar PubMed

25. Verhelst W, Roelands M. An overlap-add technique based on waveform similarity (WSOLA) for high quality time-scale modification of speech. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). Minneapolis, MN, USA, 1993:554–7.10.1109/ICASSP.1993.319366Suche in Google Scholar

26. Banai K, Lavner Y. Perceptual learning of time-compressed speech: more than rapid adaptation. PLoS One 2012;7:e47099.10.1371/journal.pone.0047099Suche in Google Scholar PubMed PubMed Central

Received: 2014-3-7
Accepted: 2014-5-23
Published Online: 2014-7-19
Published in Print: 2014-9-1

©2014 by De Gruyter

Heruntergeladen am 18.10.2025 von https://www.degruyterbrill.com/document/doi/10.1515/jbcpp-2014-0023/html?lang=de
Button zum nach oben scrollen