AUC PHILOLOGICA
AUC PHILOLOGICA

AUC Philologica (Acta Universitatis Carolinae Philologica) je akademický časopis publikující jak lingvistické, tak literárně historické a teoretické studie. Nedílnou součástí časopisu jsou i recenze odborných knih a zprávy z akademického prostředí.

Časopis je indexován v databázích CEEOL, DOAJ, EBSCO a ERIH PLUS.

AUC PHILOLOGICA, Vol 2017 No 3 (2017), 79–94

Appeal and disrepute of the so-called global rhythm metrics

Jan Volín

DOI: https://doi.org/10.14712/24646830.2017.35
zveřejněno: 01. 09. 2017

Abstract

Since the late 1990’s correlates of rhythm classes of languages have been profusely used to search for differences between languages, dialects, speaking styles, degree of foreign accents, etc. Over the years the original attractiveness of the metrics has been replaced with suspicion and, occasionally, even fierce criticism. Among many reservations the critics argue that the metrics are only based on durational measures ignoring other dimensions of prominence, and they are considerably influenced by local temporal variation in utterances. We argue that the metrics could still be exploited in speech research as long as we do not expect them to reflect “speech rhythm” and as long as the proper account of their use is supplied. This study provides simulations to demonstrate the behaviour of the most commonly utilised metrics, and presents representative measurements of some Czech and English speech recordings under several conditions.

klíčová slova: speech rhythm; rhythm classes; rhythm configurations; temporal structure; global metrics

reference (37)

1. Barry, W., Andreeva, B. & Koreman, J. (2009). Do rhythm measures reflect perceived rhythm? Phonetica, 66, 78–94. CrossRef

2. Brugos, A. & Barnes, J. (2014). Effects of dynamic pitch and relative scaling on the perception of duration and prosodic grouping in American English. In: Proceedings of 7th Speech Prosody.

3. Buxton, H. (1983). Temporal predictability in the perception of English speech. In: Cutler, A. & Ladd, D. R. (Eds.), Prosody: Models and Measurements, 111–121. Berlin: Springer-Verlag. CrossRef

4. Byrd, D. & Saltzman, E. (2003). The elastic phrase: modelling the dynamics of boundary-adjacent lengthening, Journal of Phonetics, 31, 149–180. CrossRef

5. Cumming, R. E. (2011). The language-specific interdependence of tonal and durational cues in perceived rhythmicality. Phonetica, 68, 1–25. CrossRef

6. Dankovičová, J. (2001). The Linguistic Basis of Articulation Rate Variation in Czech. Frankfurt am Main: Hector (Forum Phoneticum 71).

7. Dankovičová, J. & Dellwo, V. (2007). Czech speech rhythm and the rhythm class hypothesis. In: Proceedings of 16th ICPhS, 1241–1244.

8. Dellwo, V. & Wagner, P. (2003). Relations between language rhythm and speech rate. In: Proceedings of 15th ICPhS, 471–474. Barcelona: UAB & IPA.

9. Ghitza, O. & Greenberg, S. (2009). On the possible role of brain rhythms in speech perception: Intelligibility of time-compressed speech with periodic and aperiodic insertions of silence. Phonetica, 66, 113–126 CrossRef

10. Gibbon, D. & Gut, U. (2001). Measuring speech rhythm. In: Proceedings of Eurospeech 2001, 91–94.

11. Gorow, R. (2000). Hearing and Writing Music. California: September Publishing Studio.

12. Grabe, E. & Low, E. L. (2002). Durational variability in speech and the rhythm class hypothesis. In: Gussenhoven, C. & Warner, N. (Eds.), Papers in Laboratory Phonology 7, 515–546. Berlin: Mouton de Gruyter. CrossRef

13. Grossberg, S. (2003). Resonant neural dynamics of speech perception. Journal of Phonetics, 31, 423–445. CrossRef

14. Hove, M. J. & Risen, J. L. (2009). It's all in the timing: Interpersonal synchrony increases affiliation. Social Cognition, 27(6), 949–961. CrossRef

15. Huggins, A. W. F. (1979). Some effects on intelligibility of inappropriate temporal relations within speech units. In: Proceedings of 9th ICPhS, 283–289.

16. Kinoshita, N. & Sheppard, Ch. (2011). Validating acoustic measures of speech rhythm for second language acquisition. In: Proceedings of 17th ICPhS, 1086–1089.

17. Kirschner, S. & Tomasello, M. (2010). Joint music making promotes prosocial behaviour in 4-year-old children. Evolution and Human Behaviour, 31, 354–364. CrossRef

18. Knight R. A. (2011). Assessing the temporal reliability of rhythm metrics. Journal of International Phonetic Association, 41, 271–281. CrossRef

19. Knight, S. & Cross, I. (2012). Rhythms of persuasion: The perception of periodicity in oratory. In: Book of Abstracts – Perspectives on Rhythm and Timing, p. 27. Glasgow: University of Glasgow.

20. Kohler, K. (2009). Rhythm in speech and language. Phonetica, 66, 29–45. CrossRef

21. Loukina, A., Kochanski, G., Rosner, B., Keane, E. & Shih, Ch. (2011). Rhythm measures and dimensions of durational variation in speech. Journal of Acoustical Society of America, 129/5, 3258–3270. CrossRef

22. Low, E. L., Grabe, E. & Nolan, F. (2000). Quantitative characterisations of speech rhythm: Syllable timing in Singapore English. Language and Speech, 43, 377–401. CrossRef

23. Low, E. L. & Grabe, E. (1995). Prosodic patterns in Singapore English. In: Proceedings of 13th International Congress of Phonetic Sciences, 636–639.

24. Mariano, P. & Romano, A. (2011). Rhythm metrics for 21 languages. In: Proceedings of 17th ICPhS, 1318–1321.

25. Miller, G. R. & Hewgill, M. A. (1964). The effect of variations in non-fluency on audience ratings of source credibility. Quarterly Journal of Speech, 50/1, 36–44. CrossRef

26. Nolan, F. & Jeon, H.-S. (2014). Speech rhythm: a metaphor? Philosophical Transactions of the Royal Society B, 1–11. CrossRef

27. O'Rourke, E. (2008). Speech rhythm variation in dialects of Spanish: applying the pairwise variability index and variation coefficients to Peruvian Spanish. In: Speech Prosody 2008, pp. 431–434.

28. Pollák P., Volín, J. & Skarnitzl, R. (2007). HMM-based phonetic segmentation in Praat environment. In: Proceedings of 12th Intern. Conf. Speech & Computer – SPECOM 2007, 537–541, Moscow: MSLU.

29. Quené, H. & Port, R. F. (2005). Effects of timing regularity and metrical expectancy on spoken-word perception. Phonetica, 62, 1–13. CrossRef

30. Ramus, F., Nespor, M. & Mehler, J. (1999). Correlates of linguistic rhythm in the speech signal. Cognition, 73, pp. 265–292. CrossRef

31. Skarnitzl, R. & Volín, J. (2012). Referenční hodnoty vokalických formantů pro mladé dospělé mluvčí standardní češtiny [Reference values of vowel formants for young adult speakers of Standard Czech]. Akustické listy, 18/1, 7–11.

32. Slówik, O. & Volín, J. (in print). Acoustic correlates of temporal structure in North-Vietnamese English. In: J. Volín & R. Skarnitzl. (Eds.), The Pronunciation of English by Speakers of Other Languages. Newcastle: Cambridge Scholars Publishing.

33. Volín, J. & Churaňová, E. (2010). Probabilities of consonantal sequences in continuous Czech texts. AUC – Philologica 1, Phonetica Pragensia XII, 49–62.

34. Volín, J. & Skarnitzl, R. (2007). Temporal downtrends in Czech read speech. In: Proceedings of 8th Interspeech, 442–445.

35. Volín, J., Skarnitzl, R. & Pollák, P. (2005). Confronting HMM-based phone labelling with human evaluation of speech production. In: Proceedings of Interspeech 2005, 1541–1544.

36. Wagner, P. & Dellwo, V. (2004). Introducing YARD and re-introducing isochrony to rhythm research. In: Proceedings of Speech Prosody 2004.

37. White, L., Mattys, S., Series, L. & Gage, S. (2007). Rhythm metrics predict rhythmic discrimination. In: Proceedings of 16th ICPhS, 1009–1012.

Creative Commons License
Appeal and disrepute of the so-called global rhythm metrics is licensed under a Creative Commons Attribution 4.0 International License.

230 x 157 mm
vychází: 3 x ročně
cena tištěného čísla: 150 Kč
ISSN: 0567-8269
E-ISSN: 2464-6830

Ke stažení