Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

PL EN


2013 | 11 | 1 | 31-39

Article title

Spectral Characteristics of Schwa in Czech Accented English

Content

Title variants

Languages of publication

EN

Abstracts

EN
The English central mid lax vowel (i.e., schwa) often contributes considerably to the sound differences between native and non-native speech. Many foreign speakers of English fail to reduce certain underlying vowels to schwa, which, on the suprasegmental level of description, affects the perceived rhythm of their speech. However, the problem of capturing quantitatively the differences between native and non-native schwa poses difficulties that, to this day, have been tackled only partially. We offer a technique of measurement in the acoustic domain that has not been probed properly as yet: the distribution of acoustic energy in the vowel spectrum. Our results show that spectral slope features measured in weak vowels discriminate between Czech and British speakers of English quite reliably. Moreover, the measurements of formant bandwidths turned out to be useful for the same task, albeit less direct

Keywords

Year

Volume

11

Issue

1

Pages

31-39

Physical description

Dates

published
2013-03-01
online
2013-05-04

Contributors

author
  • Metropolitan University Prague
  • Institute of Phonetics in Prague
  • Institute of Phonetics in Prague

References

  • Ashby, M., Ashby, P., Baldwin, J., Holmes, F., House, J. and Maidment, J. 1995. Broad transcription in phonetic training. Proceedings of the XIIIth ICPhS: 170-173. Stockholm: IPA.
  • Barry, W. J. 1998. Time as a factor in the acoustic variation of schwa. Proceedings of 5thInt. Conf. on Spoken Language Processing, Sydney: 3071-3074.
  • Boersma, P. and Weenink, D. 2012. Praat: doing phonetics by computer (version 5.3.14). Retrieved from http://www.praat.org/.
  • Browman, C. P. and Goldstein, L. 1992. “Targetless” schwa: an articulatory analysis. In G. J. Docherty and D. R. Ladd (eds.) Papers in Laboratory Phonology II. Cambridge: CUP: 26-56.
  • Derwing, T. M. and Munro, M. J. 2009. Putting accent in its place: rethinking obstacles to communication. Language Teaching 42 (4): 476-490. DOI: 10.1017/S026144480800551X Flemming, E. and S. Johnson. 2007. Rosa’s roses: reduced vowels in American English. Journal of the International Phonetic Association 37: 83-96. DOI: 10.1017/S0025100306002817[Crossref]
  • Fry, D. B. 1947. The frequency of occurrence of speech sounds in Southern English. Archives Néerlandaises de Phonétique Expérimentale 20: 103-106.
  • Gobl, Ch. and Ní Chasaide A. 2003. The role of voice quality in communicating emotion, mood and attitude. Speech Communication 40: 189-212. DOI: 10.1016/S0167-6393(02)00082-1[Crossref]
  • Hammarberg, B., Fritzell, B., Gauffin, J., Sundberg, J. and Wedin, L. 1980. Perceptual and acoustic correlates of abnormal voice qualities. Acta Otolaryngologica 90: 441-451.
  • Hanson, H. M., Stevens, K. N., Kuo, H-K. J, Chen, M.Y. and Slifka, J. 2001. Towards models of phonation. Journal of Phonetics 29: 451-480. DOI: 10.1006/jpho.2001.0146[Crossref]
  • Lev-Ari, S. and Keysar, B. 2010. Why don’t we believe non-native speakers? The influence of accent on credibility. Journal of Experimental Social Psychology 46: 1093-1096. DOI: 10.1016/j.jesp.2010.05.025[Crossref][WoS]
  • Lindblom, B. 1963. Spectrographic study of vowel reduction. Journal of the AcousticalSociety of America 35: 143-162.
  • Nakatani, L. H., O’Connor, K. D. and Aston, C. H. 1981. Prosodic aspects of American English speech rhythm. Phonetica 38: 84-105.[Crossref]
  • Sluijter, A. M. C. and Van Heuven, V. J. 1996. Spectral balance as an acoustic correlate of linguistic stress. Journal of the Acoustical Society of America 100: 2471-2485.
  • Sundberg, J. and Nordenberg, M. 2006. Effects of vocal loudness variation on spectrum balance as reflected by the alpha measure of long-term-average spectra of speech. Journal of the Acoustical Society of America 120/1: 453-457. DOI: 10.1121/1.2208451[Crossref]
  • Volín, J. and Zimmermann, J. 2011. Spectral slope parameters and detection of word stress. Technical Computing Prague: 125 - 5 pages. Praha: Humusoft.

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.hdl_11089_9662
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.