Advertisement

Boundary Markers in Spontaneous Hungarian Speech

  • András BekeEmail author
  • Mária Gósy
  • Viktória Horváth
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9561)

Abstract

The aim of this paper is an objective presentation of temporal features of spontaneous Hungarian narratives, as well as a characterization of separable portions of spontaneous speech. Ten speakers’ spontaneous speech materials taken from the BEA Hungarian Spontaneous Speech Database were analyzed in terms of hierarchical units of narratives (durations, speakers’ rates of articulation, number of words produced, and the interrelationships of all these). We conclude that (i) the majority of speakers organize their narratives in similar temporal structures, (ii) thematic units can be identified in terms of certain prosodic criteria, (iii) there are statistically valid correlations between factors like the duration of phrases, the word count of phrases, the rate of articulation of phrases, and pausing characteristics, and (iv) these parameters exhibit extensive variability both across and within speakers.

Keywords

Articulation tempo Pauses Durations F0 Thematic units Phrases 

Notes

Acknowledgements

This research was supported by the Hungarian National Scientific Research Fund (OTKA), project No. 108762.

References

  1. 1.
    Klatt, D.: Linguistic uses of segmental duration in English: acoustic and perceptual evidence. J. Acoust. Soc. Am. 59, 1208–1221 (1976)CrossRefGoogle Scholar
  2. 2.
    Yuan, J., Liberman, M., Cieri, C.: Towards an integrated understanding of speaking rate in conversation. In: Proceedings of the 9th International Conference on Spoken Language Processing, Pittsburgh, PA, pp. 541–544 (2006)Google Scholar
  3. 3.
    Quené, H.: Modeling of between-speaker and within-speaker variation in spontaneous speech tempo. In: Proceedings of Interspeech 2005, Lisbon, Portugal, pp. 2457–2460 (2005)Google Scholar
  4. 4.
    Jacewicz, E., Fox, R.A., Lai, W.: Between-speaker and within-speaker variation in speech tempo of American English. J. Acoust. Soc. Am. 128, 839–850 (2010)CrossRefGoogle Scholar
  5. 5.
    Verhoeven, J., De Pauw, G., Kloots, H.: Speech rate in a pluricentric language: a comparison between Dutch in Belgium and the Netherlands. Lang. Speech 47, 297–308 (2004)CrossRefGoogle Scholar
  6. 6.
    Schnoebelen, T.: Variation in speech tempo: Capt. Kirk, Mr. Spock, and all of us in between. In: Proceedings of 36th Conference on New Ways of Analyzing Variation: Diversity, Interdisciplinarity, Intersectionality, San Antonio, Texas (2010)Google Scholar
  7. 7.
    Cutugno, F., Savy, R.: Correlation between segmental reduction and prosodic features in spontaneous speech: the role of tempo. In: Proceedings of the XIVth International Conference of the Phonetic Sciences, San Francisco, pp. 471–474 (1999)Google Scholar
  8. 8.
    Keller, E., Port, R. Speech timing: approaches to speech rhythm. In: Proceedings of the XVIth International Conference of the Phonetic Sciences, Saarbrücken, pp. 327–329 (2007)Google Scholar
  9. 9.
    Chafe, W.: Prosody and emotion in a sample of real speech. In: Fries, P.H., Cummings, M., Lockwood, D., Spruiell, D. (eds.) Relations and Functions Within and Around Language, pp. 277–315. Continuum, London (2002)Google Scholar
  10. 10.
    Swerts, M., Geluykens, R., Terken, J.: Prosodic correlates of discourse units in spontaneous speech. In: Proceedings of the International Conference on Spoken Language Processing, Banff, pp. 421–424 (1992)Google Scholar
  11. 11.
    Georgakopolou, A., Goutsos, D.: Discourse analysis: an introduction. Edinburgh University Press, Edinburgh (2004)CrossRefGoogle Scholar
  12. 12.
    Botinis, A., Gawronska, B., Katsika, A., Panagopoulou, D.: Prosodic speech production and thematic segmentation. PHONUM 9, 113–116 (2003)Google Scholar
  13. 13.
    Grønnum, N.: A Danish phonetically annotated spontaneous speech corpus (DanPASS). Speech Commun. 51, 594–603 (2009)CrossRefGoogle Scholar
  14. 14.
    Laver, J.: Principles of phonetics. Cambridge University Press, Cambridge (1994)CrossRefGoogle Scholar
  15. 15.
    Jessen, M.: Forensic reference data on articulation rate in German. Sci. Justice 47, 50–67 (2007)CrossRefGoogle Scholar
  16. 16.
    Schwartze, M., Keller, P.E., Patel, A.D., Kotz, S.A.: The impact of basal ganglia lesions on sensorimotor synchronization, spontaneous motor tempo, and the detection of tempo changes. Behav. Brain Res. 216, 685–691 (2011)CrossRefGoogle Scholar
  17. 17.
    Gósy, M.: BEA - a multifunctional Hungarian spoken language database. The Phonetician, 51–62 (2012)Google Scholar
  18. 18.
    Boersma, P., Weenink, D.: Praat: doing phonetics by computer (2010). http://www.fon.hum.uva.nl/praat/download_win.html
  19. 19.
    Künzel, H.J., Masthoff, H.R., Köster, J.P.: The relation between speech tempo, loudness, and fundamental frequency: an important issue in forensic speaker recognition. Sci. Justice 35, 291–295 (1995)CrossRefGoogle Scholar
  20. 20.
    Sztahó, D., Imre, V., Vicsi, K.: Érzelmek automatikus osztályozása spontán beszédben. In: Tanács A., Vincze, V. (eds.) VII. Magyar Számítógépes Konferencia, pp. 61–274. Szegedi Tudományegyetem, Szeged (2010)Google Scholar
  21. 21.
    Zellner, B.: Pauses and the temporal structure of speech. In: Keller, E. (ed.) Fundamentals of speech synthesis and speech recognition, pp. 41–62. John Wiley, Chichester (1994)Google Scholar
  22. 22.
    Tseng, S.-C.: Linguistic markings of units in spontaneous Mandarin. In: Huo, Qiang, Ma, Bin, Chng, E.-S., Li, H. (eds.) ISCSLP 2006. LNCS (LNAI), vol. 4274, pp. 43–54. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  23. 23.
    Russo, M., Barry, W.J.: Isochrony reconsidered. Objectifying relations between rhythm measures and speech tempo. In: Proceedings of Fourth Conference on Speech Prosody, 6–9 May 2008, Campinas, Brazil, pp. 419–422 (2008)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • András Beke
    • 1
    Email author
  • Mária Gósy
    • 1
  • Viktória Horváth
    • 1
  1. 1.Research Institute for LinguisticsHungarian Academy of SciencesBudapestHungary

Personalised recommendations