Anne Cutler

Publications

Displaying 1 - 8 of 8
  • Cutler, A., Andics, A., & Fang, Z. (2011). Inter-dependent categorization of voices and segments. In W.-S. Lee, & E. Zee (Eds.), Proceedings of the 17th International Congress of Phonetic Sciences [ICPhS 2011] (pp. 552-555). Hong Kong: Department of Chinese, Translation and Linguistics, City University of Hong Kong.

    Abstract

    Listeners performed speeded two-alternative choice between two unfamiliar and relatively similar voices or between two phonetically close segments, in VC syllables. For each decision type (segment, voice), the non-target dimension (voice, segment) either was constant, or varied across four alternatives. Responses were always slower when a non-target dimension varied than when it did not, but the effect of phonetic variation on voice identity decision was stronger than that of voice variation on phonetic identity decision. Cues to voice and segment identity in speech are processed inter-dependently, but hard categorization decisions about voices draw on, and are hence sensitive to, segmental information.
  • Tuinman, A., Mitterer, H., & Cutler, A. (2011). The efficiency of cross-dialectal word recognition. In Proceedings of the 12th Annual Conference of the International Speech Communication Association (Interspeech 2011), Florence, Italy (pp. 153-156).

    Abstract

    Dialects of the same language can differ in the casual speech processes they allow; e.g., British English allows the insertion of [r] at word boundaries in sequences such as saw ice, while American English does not. In two speeded word recognition experiments, American listeners heard such British English sequences; in contrast to non-native listeners, they accurately perceived intended vowel-initial words even with intrusive [r]. Thus despite input mismatches, cross-dialectal word recognition benefits from the full power of native-language processing.
  • Wagner, M., Tran, D., Togneri, R., Rose, P., Powers, D., Onslow, M., Loakes, D., Lewis, T., Kuratate, T., Kinoshita, Y., Kemp, N., Ishihara, S., Ingram, J., Hajek, J., Grayden, D., Göcke, R., Fletcher, J., Estival, D., Epps, J., Dale, R. and 11 moreWagner, M., Tran, D., Togneri, R., Rose, P., Powers, D., Onslow, M., Loakes, D., Lewis, T., Kuratate, T., Kinoshita, Y., Kemp, N., Ishihara, S., Ingram, J., Hajek, J., Grayden, D., Göcke, R., Fletcher, J., Estival, D., Epps, J., Dale, R., Cutler, A., Cox, F., Chetty, G., Cassidy, S., Butcher, A., Burnham, D., Bird, S., Best, C., Bennamoun, M., Arciuli, J., & Ambikairajah, E. (2011). The Big Australian Speech Corpus (The Big ASC). In M. Tabain, J. Fletcher, D. Grayden, J. Hajek, & A. Butcher (Eds.), Proceedings of the Thirteenth Australasian International Conference on Speech Science and Technology (pp. 166-170). Melbourne: ASSTA.
  • 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.
  • Van Ooijen, B., Cutler, A., & Berinetto, P. M. (1993). Click detection in Italian and English. In Eurospeech 93: Vol. 1 (pp. 681-684). Berlin: ESCA.

    Abstract

    We report four experiments in which English and Italian monolinguals detected clicks in continous speech in their native language. Two of the experiments used an off-line location task, and two used an on-line reaction time task. Despite there being large differences between English and Italian with respect to rhythmic characteristics, very similar response patterns were found for the two language groups. It is concluded that the process of click detection operates independently from language-specific differences in perceptual processing at the sublexical level.
  • Young, D., Altmann, G. T., Cutler, A., & Norris, D. (1993). Metrical structure and the perception of time-compressed speech. In Eurospeech 93: Vol. 2 (pp. 771-774).

    Abstract

    In the absence of explicitly marked cues to word boundaries, listeners tend to segment spoken English at the onset of strong syllables. This may suggest that under difficult listening conditions, speech should be easier to recognize where strong syllables are word-initial. We report two experiments in which listeners were presented with sentences which had been time-compressed to make listening difficult. The first study contrasted sentences in which all content words began with strong syllables with sentences in which all content words began with weak syllables. The intelligibility of the two groups of sentences did not differ significantly. Apparent rhythmic effects in the results prompted a second experiment; however, no significant effects of systematic rhythmic manipulation were observed. In both experiments, the strongest predictor of intelligibility was the rated plausibility of the sentences. We conclude that listeners' recognition responses to time-compressed speech may be strongly subject to experiential bias; effects of rhythmic structure are most likely to show up also as bias effects.
  • Cutler, A. (1980). Productivity in word formation. In J. Kreiman, & A. E. Ojeda (Eds.), Papers from the Sixteenth Regional Meeting, Chicago Linguistic Society (pp. 45-51). Chicago, Ill.: CLS.

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