Publications

Displaying 1 - 13 of 13
  • Bosker, H. R. (2021). The contribution of amplitude modulations in speech to perceived charisma. In B. Weiss, J. Trouvain, M. Barkat-Defradas, & J. J. Ohala (Eds.), Voice attractiveness: Prosody, phonology and phonetics (pp. 165-181). Singapore: Springer. doi:10.1007/978-981-15-6627-1_10.

    Abstract

    Speech contains pronounced amplitude modulations in the 1–9 Hz range, correlating with the syllabic rate of speech. Recent models of speech perception propose that this rhythmic nature of speech is central to speech recognition and has beneficial effects on language processing. Here, we investigated the contribution of amplitude modulations to the subjective impression listeners have of public speakers. The speech from US presidential candidates Hillary Clinton and Donald Trump in the three TV debates of 2016 was acoustically analyzed by means of modulation spectra. These indicated that Clinton’s speech had more pronounced amplitude modulations than Trump’s speech, particularly in the 1–9 Hz range. A subsequent perception experiment, with listeners rating the perceived charisma of (low-pass filtered versions of) Clinton’s and Trump’s speech, showed that more pronounced amplitude modulations (i.e., more ‘rhythmic’ speech) increased perceived charisma ratings. These outcomes highlight the important contribution of speech rhythm to charisma perception.
  • Cutler, A. (1983). Lexical complexity and sentence processing. In G. B. Flores d'Arcais, & R. J. Jarvella (Eds.), The process of language understanding (pp. 43-79). Chichester, Sussex: Wiley.
  • Cutler, A. (1983). Speakers’ conceptions of the functions of prosody. In A. Cutler, & D. R. Ladd (Eds.), Prosody: Models and measurements (pp. 79-91). Heidelberg: Springer.
  • Frost, R. L. A., & Casillas, M. (2021). Investigating statistical learning of nonadjacent dependencies: Running statistical learning tasks in non-WEIRD populations. In SAGE Research Methods Cases. doi:10.4135/9781529759181.

    Abstract

    Language acquisition is complex. However, one thing that has been suggested to help learning is the way that information is distributed throughout language; co-occurrences among particular items (e.g., syllables and words) have been shown to help learners discover the words that a language contains and figure out how those words are used. Humans’ ability to draw on this information—“statistical learning”—has been demonstrated across a broad range of studies. However, evidence from non-WEIRD (Western, Educated, Industrialized, Rich, and Democratic) societies is critically lacking, which limits theorizing on the universality of this skill. We extended work on statistical language learning to a new, non-WEIRD linguistic population: speakers of Yélî Dnye, who live on a remote island off mainland Papua New Guinea (Rossel Island). We performed a replication of an existing statistical learning study, training adults on an artificial language with statistically defined words, then examining what they had learnt using a two-alternative forced-choice test. Crucially, we implemented several key amendments to the original study to ensure the replication was suitable for remote field-site testing with speakers of Yélî Dnye. We made critical changes to the stimuli and materials (to test speakers of Yélî Dnye, rather than English), the instructions (we re-worked these significantly, and added practice tasks to optimize participants’ understanding), and the study format (shifting from a lab-based to a portable tablet-based setup). We discuss the requirement for acute sensitivity to linguistic, cultural, and environmental factors when adapting studies to test new populations.
  • Kempen, G. (1983). Natural language facilities in information systems: Asset or liability? In J. Van Apeldoorn (Ed.), Man and information technology: Towards friendlier systems (pp. 81-86). Delft University Press.
  • Kempen, G. (1983). Het artificiële-intelligentieparadigma. Ervaringen met een nieuwe methodologie voor cognitief-psychologisch onderzoek. In J. Raaijmakers, P. Hudson, & A. Wertheim (Eds.), Metatheoretische aspekten van de psychonomie (pp. 85-98). Deventer: Van Loghum Slaterus.
  • Klein, W. (1983). Deixis and spatial orientation in route directions. In H. Pick, & L. Acredolo (Eds.), Spatial orientation theory: Research, and application (pp. 283-311). New York: Plenum.
  • Klein, W. (1983). Der Ausdruck der Temporalität im ungesteuerten Spracherwerb. In G. Rauh (Ed.), Essays on Deixis (pp. 149-168). Tübingen: Narr.
  • Ladd, D. R., & Cutler, A. (1983). Models and measurements in the study of prosody. In A. Cutler, & D. R. Ladd (Eds.), Prosody: Models and measurements (pp. 1-10). Heidelberg: Springer.
  • Levelt, W. J. M. (1970). A scaling approach to the study of syntactic relations. In G. B. Flores d'Arcais, & W. J. M. Levelt (Eds.), Advances in psycholinguistics (pp. 109-121). Amsterdam: North Holland.
  • Levelt, W. J. M. (1970). Hierarchical clustering algorithms in the psychology of grammar. In G. B. Flores d'Arcais, & W. J. M. Levelt (Eds.), Advances in psycholinguistics (pp. 101-108). Amsterdam: North Holland.
  • Levelt, W. J. M. (1962). Motion breaking and the perception of causality. In A. Michotte (Ed.), Causalité, permanence et réalité phénoménales: Etudes de psychologie expérimentale (pp. 244-258). Louvain: Publications Universitaires.
  • Seuren, P. A. M. (1983). Auxiliary system in Sranan. In F. Heny, & B. Richards (Eds.), Linguistic categories: Auxiliaries and related puzzles / Vol. two, The scope, order, and distribution of English auxiliary verbs (pp. 219-251). Dordrecht: Reidel.

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