Anne Cutler

Publications

Displaying 1 - 8 of 8
  • Cutler, A., & Bruggeman, L. (2013). Vocabulary structure and spoken-word recognition: Evidence from French reveals the source of embedding asymmetry. In Proceedings of INTERSPEECH: 14th Annual Conference of the International Speech Communication Association (pp. 2812-2816).

    Abstract

    Vocabularies contain hundreds of thousands of words built from only a handful of phonemes, so that inevitably longer words tend to contain shorter ones. In many languages (but not all) such embedded words occur more often word-initially than word-finally, and this asymmetry, if present, has farreaching consequences for spoken-word recognition. Prior research had ascribed the asymmetry to suffixing or to effects of stress (in particular, final syllables containing the vowel schwa). Analyses of the standard French vocabulary here reveal an effect of suffixing, as predicted by this account, and further analyses of an artificial variety of French reveal that extensive final schwa has an independent and additive effect in promoting the embedding asymmetry.
  • Cutler, A. (1994). How human speech recognition is affected by phonological diversity among languages. In R. Togneri (Ed.), Proceedings of the fifth Australian International Conference on Speech Science and Technology: Vol. 1 (pp. 285-288). Canberra: Australian Speech Science and Technology Association.

    Abstract

    Listeners process spoken language in ways which are adapted to the phonological structure of their native language. As a consequence, non-native speakers do not listen to a language in the same way as native speakers; moreover, listeners may use their native language listening procedures inappropriately with foreign input. With sufficient experience, however, it may be possible to inhibit this latter (counter-productive) behavior.
  • Cutler, A., & Young, D. (1994). Rhythmic structure of word blends in English. In Proceedings of the Third International Conference on Spoken Language Processing (pp. 1407-1410). Kobe: Acoustical Society of Japan.

    Abstract

    Word blends combine fragments from two words, either in speech errors or when a new word is created. Previous work has demonstrated that in Japanese, such blends preserve moraic structure; in English they do not. A similar effect of moraic structure is observed in perceptual research on segmentation of continuous speech in Japanese; English listeners, by contrast, exploit stress units in segmentation, suggesting that a general rhythmic constraint may underlie both findings. The present study examined whether mis parallel would also hold for word blends. In spontaneous English polysyllabic blends, the source words were significantly more likely to be split before a strong than before a weak (unstressed) syllable, i.e. to be split at a stress unit boundary. In an experiment in which listeners were asked to identify the source words of blends, significantly more correct detections resulted when splits had been made before strong syllables. Word blending, like speech segmentation, appears to be constrained by language rhythm.
  • Cutler, A., McQueen, J. M., Baayen, R. H., & Drexler, H. (1994). Words within words in a real-speech corpus. In R. Togneri (Ed.), Proceedings of the 5th Australian International Conference on Speech Science and Technology: Vol. 1 (pp. 362-367). Canberra: Australian Speech Science and Technology Association.

    Abstract

    In a 50,000-word corpus of spoken British English the occurrence of words embedded within other words is reported. Within-word embedding in this real speech sample is common, and analogous to the extent of embedding observed in the vocabulary. Imposition of a syllable boundary matching constraint reduces but by no means eliminates spurious embedding. Embedded words are most likely to overlap with the beginning of matrix words, and thus may pose serious problems for speech recognisers.
  • Norris, D., McQueen, J. M., & Cutler, A. (1994). Competition and segmentation in spoken word recognition. In Proceedings of the Third International Conference on Spoken Language Processing: Vol. 1 (pp. 401-404). Yokohama: PACIFICO.

    Abstract

    This paper describes recent experimental evidence which shows that models of spoken word recognition must incorporate both inhibition between competing lexical candidates and a sensitivity to metrical cues to lexical segmentation. A new version of the Shortlist [1][2] model incorporating the Metrical Segmentation Strategy [3] provides a detailed simulation of the data.
  • Butterfield, S., & Cutler, A. (1990). Intonational cues to word boundaries in clear speech? In Proceedings of the Institute of Acoustics: Vol 12, part 10 (pp. 87-94). St. Albans, Herts.: Institute of Acoustics.
  • Cutler, A. (1990). Syllabic lengthening as a word boundary cue. In R. Seidl (Ed.), Proceedings of the 3rd Australian International Conference on Speech Science and Technology (pp. 324-328). Canberra: Australian Speech Science and Technology Association.

    Abstract

    Bisyllabic sequences which could be interpreted as one word or two were produced in sentence contexts by a trained speaker, and syllabic durations measured. Listeners judged whether the bisyllables, excised from context, were one word or two. The proportion of two-word choices correlated positively with measured duration, but only for bisyllables stressed on the second syllable. The results may suggest a limit for listener sensitivity to syllabic lengthening as a word boundary cue.
  • Cutler, A., Norris, D., & Van Ooijen, B. (1990). Vowels as phoneme detection targets. In Proceedings of the First International Conference on Spoken Language Processing (pp. 581-584).

    Abstract

    Phoneme detection is a psycholinguistic task in which listeners' response time to detect the presence of a pre-specified phoneme target is measured. Typically, detection tasks have used consonant targets. This paper reports two experiments in which subjects responded to vowels as phoneme detection targets. In the first experiment, targets occurred in real words, in the second in nonsense words. Response times were long by comparison with consonantal targets. Targets in initial syllables were responded to much more slowly than targets in second syllables. Strong vowels were responded to faster than reduced vowels in real words but not in nonwords. These results suggest that the process of phoneme detection produces different results for vowels and for consonants. We discuss possible explanations for this difference, in particular the possibility of language-specificity.

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