Anne Cutler †

Publications

Displaying 1 - 28 of 28
  • Bruggeman, L., & Cutler, A. (2016). Lexical manipulation as a discovery tool for psycholinguistic research. In C. Carignan, & M. D. Tyler (Eds.), Proceedings of the 16th Australasian International Conference on Speech Science and Technology (SST2016) (pp. 313-316).
  • Ip, M., & Cutler, A. (2016). Cross-language data on five types of prosodic focus. In J. Barnes, A. Brugos, S. Shattuck-Hufnagel, & N. Veilleux (Eds.), Proceedings of Speech Prosody 2016 (pp. 330-334).

    Abstract

    To examine the relative roles of language-specific and language-universal mechanisms in the production of prosodic focus, we compared production of five different types of focus by native speakers of English and Mandarin. Two comparable dialogues were constructed for each language, with the same words appearing in focused and unfocused position; 24 speakers recorded each dialogue in each language. Duration, F0 (mean, maximum, range), and rms-intensity (mean, maximum) of all critical word tokens were measured. Across the different types of focus, cross-language differences were observed in the degree to which English versus Mandarin speakers use the different prosodic parameters to mark focus, suggesting that while prosody may be universally available for expressing focus, the means of its employment may be considerably language-specific
  • Jeske, J., Kember, H., & Cutler, A. (2016). Native and non-native English speakers' use of prosody to predict sentence endings. In Proceedings of the 16th Australasian International Conference on Speech Science and Technology (SST2016).
  • Kember, H., Choi, J., & Cutler, A. (2016). Processing advantages for focused words in Korean. In J. Barnes, A. Brugos, S. Shattuck-Hufnagel, & N. Veilleux (Eds.), Proceedings of Speech Prosody 2016 (pp. 702-705).

    Abstract

    In Korean, focus is expressed in accentual phrasing. To ascertain whether words focused in this manner enjoy a processing advantage analogous to that conferred by focus as expressed in, e.g, English and Dutch, we devised sentences with target words in one of four conditions: prosodic focus, syntactic focus, prosodic + syntactic focus, and no focus as a control. 32 native speakers of Korean listened to blocks of 10 sentences, then were presented visually with words and asked whether or not they had heard them. Overall, words with focus were recognised significantly faster and more accurately than unfocused words. In addition, words with syntactic focus or syntactic + prosodic focus were recognised faster than words with prosodic focus alone. As for other languages, Korean focus confers processing advantage on the words carrying it. While prosodic focus does provide an advantage, however, syntactic focus appears to provide the greater beneficial effect for recognition memory
  • Burnham, D., Ambikairajah, E., Arciuli, J., Bennamoun, M., Best, C. T., Bird, S., Butcher, A. R., Cassidy, S., Chetty, G., Cox, F. M., Cutler, A., Dale, R., Epps, J. R., Fletcher, J. M., Goecke, R., Grayden, D. B., Hajek, J. T., Ingram, J. C., Ishihara, S., Kemp, N. and 10 moreBurnham, D., Ambikairajah, E., Arciuli, J., Bennamoun, M., Best, C. T., Bird, S., Butcher, A. R., Cassidy, S., Chetty, G., Cox, F. M., Cutler, A., Dale, R., Epps, J. R., Fletcher, J. M., Goecke, R., Grayden, D. B., Hajek, J. T., Ingram, J. C., Ishihara, S., Kemp, N., Kinoshita, Y., Kuratate, T., Lewis, T. W., Loakes, D. E., Onslow, M., Powers, D. M., Rose, P., Togneri, R., Tran, D., & Wagner, M. (2009). A blueprint for a comprehensive Australian English auditory-visual speech corpus. In M. Haugh, K. Burridge, J. Mulder, & P. Peters (Eds.), Selected proceedings of the 2008 HCSNet Workshop on Designing the Australian National Corpus (pp. 96-107). Somerville, MA: Cascadilla Proceedings Project.

    Abstract

    Large auditory-visual (AV) speech corpora are the grist of modern research in speech science, but no such corpus exists for Australian English. This is unfortunate, for speech science is the brains behind speech technology and applications such as text-to-speech (TTS) synthesis, automatic speech recognition (ASR), speaker recognition and forensic identification, talking heads, and hearing prostheses. Advances in these research areas in Australia require a large corpus of Australian English. Here the authors describe a blueprint for building the Big Australian Speech Corpus (the Big ASC), a corpus of over 1,100 speakers from urban and rural Australia, including speakers of non-indigenous, indigenous, ethnocultural, and disordered forms of Australian English, each of whom would be sampled on three occasions in a range of speech tasks designed by the researchers who would be using the corpus.
  • Cutler, A., Davis, C., & Kim, J. (2009). Non-automaticity of use of orthographic knowledge in phoneme evaluation. In Proceedings of the 10th Annual Conference of the International Speech Communication Association (Interspeech 2009) (pp. 380-383). Causal Productions Pty Ltd.

    Abstract

    Two phoneme goodness rating experiments addressed the role of orthographic knowledge in the evaluation of speech sounds. Ratings for the best tokens of /s/ were higher in words spelled with S (e.g., bless) than in words where /s/ was spelled with C (e.g., voice). This difference did not appear for analogous nonwords for which every lexical neighbour had either S or C spelling (pless, floice). Models of phonemic processing incorporating obligatory influence of lexical information in phonemic processing cannot explain this dissociation; the data are consistent with models in which phonemic decisions are not subject to necessary top-down lexical influence.
  • Cutler, A. (2009). Psycholinguistics in our time. In P. Rabbitt (Ed.), Inside psychology: A science over 50 years (pp. 91-101). Oxford: Oxford University Press.
  • Cutler, A., & Broersma, M. (2005). Phonetic precision in listening. In W. J. Hardcastle, & J. M. Beck (Eds.), A figure of speech: A Festschrift for John Laver (pp. 63-91). Mahwah, NJ: Erlbaum.
  • Cutler, A., Klein, W., & Levinson, S. C. (2005). The cornerstones of twenty-first century psycholinguistics. In A. Cutler (Ed.), Twenty-first century psycholinguistics: Four cornerstones (pp. 1-20). Mahwah, NJ: Erlbaum.
  • Cutler, A. (2005). The lexical statistics of word recognition problems caused by L2 phonetic confusion. In Proceedings of the 9th European Conference on Speech Communication and Technology (pp. 413-416).
  • Cutler, A., McQueen, J. M., & Norris, D. (2005). The lexical utility of phoneme-category plasticity. In Proceedings of the ISCA Workshop on Plasticity in Speech Perception (PSP2005) (pp. 103-107).
  • Cutler, A. (Ed.). (2005). Twenty-first century psycholinguistics: Four cornerstones. Mahwah, NJ: Erlbaum.
  • Cutler, A. (2005). Lexical stress. In D. B. Pisoni, & R. E. Remez (Eds.), The handbook of speech perception (pp. 264-289). Oxford: Blackwell.
  • Cutler, A. (Ed.). (2005). Twenty-first century psycholinguistics: Four cornerstones. Hillsdale, NJ: Erlbaum.
  • Goudbeek, M., Smits, R., Cutler, A., & Swingley, D. (2005). Acquiring auditory and phonetic categories. In H. Cohen, & C. Lefebvre (Eds.), Handbook of categorization in cognitive science (pp. 497-513). Amsterdam: Elsevier.
  • Cooper, N., & Cutler, A. (2004). Perception of non-native phonemes in noise. In S. Kin, & M. J. Bae (Eds.), Proceedings of the 8th International Conference on Spoken Language Processing (Interspeech 2004-ICSLP) (pp. 469-472). Seoul: Sunjijn Printing Co.

    Abstract

    We report an investigation of the perception of American English phonemes by Dutch listeners proficient in English. Listeners identified either the consonant or the vowel in most possible English CV and VC syllables. The syllables were embedded in multispeaker babble at three signal-to-noise ratios (16 dB, 8 dB, and 0 dB). Effects of signal-to-noise ratio on vowel and consonant identification are discussed as a function of syllable position and of relationship to the native phoneme inventory. Comparison of the results with previously reported data from native listeners reveals that noise affected the responding of native and non-native listeners similarly.
  • Cutler, A., Norris, D., & Sebastián-Gallés, N. (2004). Phonemic repertoire and similarity within the vocabulary. In S. Kin, & M. J. Bae (Eds.), Proceedings of the 8th International Conference on Spoken Language Processing (Interspeech 2004-ICSLP) (pp. 65-68). Seoul: Sunjijn Printing Co.

    Abstract

    Language-specific differences in the size and distribution of the phonemic repertoire can have implications for the task facing listeners in recognising spoken words. A language with more phonemes will allow shorter words and reduced embedding of short words within longer ones, decreasing the potential for spurious lexical competitors to be activated by speech signals. We demonstrate that this is the case via comparative analyses of the vocabularies of English and Spanish. A language which uses suprasegmental as well as segmental contrasts, however, can substantially reduce the extent of spurious embedding.
  • Cutler, A. (2004). Segmentation of spoken language by normal adult listeners. In R. Kent (Ed.), MIT encyclopedia of communication sciences and disorders (pp. 392-395). Cambridge, MA: MIT Press.
  • Cutler, A., & Henton, C. G. (2004). There's many a slip 'twixt the cup and the lip. In H. Quené, & V. Van Heuven (Eds.), On speech and Language: Studies for Sieb G. Nooteboom (pp. 37-45). Utrecht: Netherlands Graduate School of Linguistics.

    Abstract

    The retiring academic may look back upon, inter alia, years of conference attendance. Speech error researchers are uniquely fortunate because they can collect data in any situation involving communication; accordingly, the retiring speech error researcher will have collected data at those conferences. We here address the issue of whether error data collected in situations involving conviviality (such as at conferences) is representative of error data in general. Our approach involved a comparison, across three levels of linguistic processing, between a specially constructed Conviviality Sample and the largest existing source of speech error data, the newly available Fromkin Speech Error Database. The results indicate that there are grounds for regarding the data in the Conviviality Sample as a better than average reflection of the true population of all errors committed. These findings encourage us to recommend further data collection in collaboration with like-minded colleagues.
  • Cutler, A. (2004). Twee regels voor academische vorming. In H. Procee (Ed.), Bij die wereld wil ik horen! Zesendertig columns en drie essays over de vorming tot academicus. (pp. 42-45). Amsterdam: Boom.
  • Cutler, A., Mister, E., Norris, D., & Sebastián-Gallés, N. (2004). La perception de la parole en espagnol: Un cas particulier? In L. Ferrand, & J. Grainger (Eds.), Psycholinguistique cognitive: Essais en l'honneur de Juan Segui (pp. 57-74). Brussels: De Boeck.
  • Indefrey, P., & Cutler, A. (2004). Prelexical and lexical processing in listening. In M. Gazzaniga (Ed.), The cognitive neurosciences III. (pp. 759-774). Cambridge, MA: MIT Press.

    Abstract

    This paper presents a meta-analysis of hemodynamic studies on passive auditory language processing. We assess the overlap of hemodynamic activation areas and activation maxima reported in experiments involving the presentation of sentences, words, pseudowords, or sublexical or non-linguistic auditory stimuli. Areas that have been reliably replicated are identified. The results of the meta-analysis are compared to electrophysiological, magnetencephalic (MEG), and clinical findings. It is concluded that auditory language input is processed in a left posterior frontal and bilateral temporal cortical network. Within this network, no processing leve l is related to a single cortical area. The temporal lobes seem to differ with respect to their involvement in post-lexical processing, in that the left temporal lobe has greater involvement than the right, and also in the degree of anatomical specialization for phonological, lexical, and sentence -level processing, with greater overlap on the right contrasting with a higher degree of differentiation on the left.
  • 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). From performance to phonology: Comments on Beckman and Edwards's paper. In J. Kingston, & M. Beckman (Eds.), Papers in laboratory phonology I: Between the grammar and physics of speech (pp. 208-214). Cambridge: Cambridge University Press.
  • Cutler, A. (1990). Exploiting prosodic probabilities in speech segmentation. In G. Altmann (Ed.), Cognitive models of speech processing: Psycholinguistic and computational perspectives (pp. 105-121). Cambridge, MA: MIT Press.
  • 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.
  • Mehler, J., & Cutler, A. (1990). Psycholinguistic implications of phonological diversity among languages. In M. Piattelli-Palmerini (Ed.), Cognitive science in Europe: Issues and trends (pp. 119-134). Rome: Golem.

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