Anne Cutler †

Publications

Displaying 1 - 9 of 9
  • Bruggeman, L., & Cutler, A. (2019). The dynamics of lexical activation and competition in bilinguals’ first versus second language. In S. Calhoun, P. Escudero, M. Tabain, & P. Warren (Eds.), Proceedings of the 19th International Congress of Phonetic Sciences (ICPhS 20195) (pp. 1342-1346). Canberra, Australia: Australasian Speech Science and Technology Association Inc.

    Abstract

    Speech input causes listeners to activate multiple
    candidate words which then compete with one
    another. These include onset competitors, that share a
    beginning (bumper, butter), but also, counterintuitively,
    rhyme competitors, sharing an ending
    (bumper, jumper). In L1, competition is typically
    stronger for onset than for rhyme. In L2, onset
    competition has been attested but rhyme competition
    has heretofore remained largely unexamined. We
    assessed L1 (Dutch) and L2 (English) word
    recognition by the same late-bilingual individuals. In
    each language, eye gaze was recorded as listeners
    heard sentences and viewed sets of drawings: three
    unrelated, one depicting an onset or rhyme competitor
    of a word in the input. Activation patterns revealed
    substantial onset competition but no significant
    rhyme competition in either L1 or L2. Rhyme
    competition may thus be a “luxury” feature of
    maximally efficient listening, to be abandoned when
    resources are scarcer, as in listening by late
    bilinguals, in either language.
  • Cutler, A., Burchfield, A., & Antoniou, M. (2019). A criterial interlocutor tally for successful talker adaptation? In S. Calhoun, P. Escudero, M. Tabain, & P. Warren (Eds.), Proceedings of the 19th International Congress of Phonetic Sciences (ICPhS 20195) (pp. 1485-1489). Canberra, Australia: Australasian Speech Science and Technology Association Inc.

    Abstract

    Part of the remarkable efficiency of listening is
    accommodation to unfamiliar talkers’ specific
    pronunciations by retuning of phonemic intercategory
    boundaries. Such retuning occurs in second
    (L2) as well as first language (L1); however, recent
    research with emigrés revealed successful adaptation
    in the environmental L2 but, unprecedentedly, not in
    L1 despite continuing L1 use. A possible explanation
    involving relative exposure to novel talkers is here
    tested in heritage language users with Mandarin as
    family L1 and English as environmental language. In
    English, exposure to an ambiguous sound in
    disambiguating word contexts prompted the expected
    adjustment of phonemic boundaries in subsequent
    categorisation. However, no adjustment occurred in
    Mandarin, again despite regular use. Participants
    reported highly asymmetric interlocutor counts in the
    two languages. We conclude that successful retuning
    ability requires regular exposure to novel talkers in
    the language in question, a criterion not met for the
    emigrés’ or for these heritage users’ L1.
  • Joo, H., Jang, J., Kim, S., Cho, T., & Cutler, A. (2019). Prosodic structural effects on coarticulatory vowel nasalization in Australian English in comparison to American English. In S. Calhoun, P. Escudero, M. Tabain, & P. Warren (Eds.), Proceedings of the 19th International Congress of Phonetic Sciences (ICPhS 20195) (pp. 835-839). Canberra, Australia: Australasian Speech Science and Technology Association Inc.

    Abstract

    This study investigates effects of prosodic factors (prominence, boundary) on coarticulatory Vnasalization in Australian English (AusE) in CVN and NVC in comparison to those in American English
    (AmE). As in AmE, prominence was found to
    lengthen N, but to reduce V-nasalization, enhancing N’s nasality and V’s orality, respectively (paradigmatic contrast enhancement). But the prominence effect in CVN was more robust than that in AmE. Again similar to findings in AmE, boundary
    induced a reduction of N-duration and V-nasalization phrase-initially (syntagmatic contrast enhancement), and increased the nasality of both C and V phrasefinally.
    But AusE showed some differences in terms
    of the magnitude of V nasalization and N duration. The results suggest that the linguistic contrast enhancements underlie prosodic-structure modulation of coarticulatory V-nasalization in
    comparable ways across dialects, while the fine phonetic detail indicates that the phonetics-prosody interplay is internalized in the individual dialect’s phonetic grammar.
  • 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., Murty, L., & Otake, T. (2003). Rhythmic similarity effects in non-native listening? In Proceedings of the 15th International Congress of Phonetic Sciences (PCPhS 2003) (pp. 329-332). Adelaide: Causal Productions.

    Abstract

    Listeners rely on native-language rhythm in segmenting speech; in different languages, stress-, syllable- or mora-based rhythm is exploited. This language-specificity affects listening to non- native speech, if native procedures are applied even though inefficient for the non-native language. However, speakers of two languages with similar rhythmic interpretation should segment their own and the other language similarly. This was observed to date only for related languages (English-Dutch; French-Spanish). We now report experiments in which Japanese listeners heard Telugu, a Dravidian language unrelated to Japanese, and Telugu listeners heard Japanese. In both cases detection of target sequences in speech was harder when target boundaries mismatched mora boundaries, exactly the pattern that Japanese listeners earlier exhibited with Japanese and other languages. These results suggest that Telugu and Japanese listeners use similar procedures in segmenting speech, and support the idea that languages fall into rhythmic classes, with aspects of phonological structure affecting listeners' speech segmentation.
  • Shi, R., Werker, J., & Cutler, A. (2003). Function words in early speech perception. In Proceedings of the 15th International Congress of Phonetic Sciences (pp. 3009-3012).

    Abstract

    Three experiments examined whether infants recognise functors in phrases, and whether their representations of functors are phonetically well specified. Eight- and 13- month-old English infants heard monosyllabic lexical words preceded by real functors (e.g., the, his) versus nonsense functors (e.g., kuh); the latter were minimally modified segmentally (but not prosodically) from real functors. Lexical words were constant across conditions; thus recognition of functors would appear as longer listening time to sequences with real functors. Eightmonth- olds' listening times to sequences with real versus nonsense functors did not significantly differ, suggesting that they did not recognise real functors, or functor representations lacked phonetic specification. However, 13-month-olds listened significantly longer to sequences with real functors. Thus, somewhere between 8 and 13 months of age infants learn familiar functors and represent them with segmental detail. We propose that accumulated frequency of functors in input in general passes a critical threshold during this time.
  • Cutler, A., & Butterfield, S. (1989). Natural speech cues to word segmentation under difficult listening conditions. In J. Tubach, & J. Mariani (Eds.), Proceedings of Eurospeech 89: European Conference on Speech Communication and Technology: Vol. 2 (pp. 372-375). Edinburgh: CEP Consultants.

    Abstract

    One of a listener's major tasks in understanding continuous speech is segmenting the speech signal into separate words. When listening conditions are difficult, speakers can help listeners by deliberately speaking more clearly. In three experiments, we examined how word boundaries are produced in deliberately clear speech. We found that speakers do indeed attempt to mark word boundaries; moreover, they differentiate between word boundaries in a way which suggests they are sensitive to listener needs. Application of heuristic segmentation strategies makes word boundaries before strong syllables easiest for listeners to perceive; but under difficult listening conditions speakers pay more attention to marking word boundaries before weak syllables, i.e. they mark those boundaries which are otherwise particularly hard to perceive.
  • Cutler, A. (1970). An experimental method for semantic field study. Linguistic Communications, 2, 87-94.

    Abstract

    This paper emphasizes the need for empirical research and objective discovery procedures in semantics, and illustrates a method by which these goals may be obtained. The aim of the methodology described is to provide a description of the internal structure of a semantic field by eliciting the description--in an objective, standardized manner--from a representative group of native speakers. This would produce results that would be equally obtainable by any linguist using the same method under the same conditions with a similarly representative set of informants. The standardized method suggested by the author is the Semantic Differential developed by C. E. Osgood in the 1950's. Applying this method to semantic research, it is further hypothesized that, should different members of a semantic field be employed as concepts on a Semantic Differential task, a factor analysis of the results would reveal the dimensions operative within the body of data. The author demonstrates the use of the Semantic Differential and factor analysis in an actual experiment.

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