Anne Cutler †

Publications

Displaying 1 - 22 of 22
  • 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.
  • McQueen, J. M., Norris, D., & Cutler, A. (2001). Can lexical knowledge modulate prelexical representations over time? In R. Smits, J. Kingston, T. Neary, & R. Zondervan (Eds.), Proceedings of the workshop on Speech Recognition as Pattern Classification (SPRAAC) (pp. 145-150). Nijmegen: Max Planck Institute for Psycholinguistics.

    Abstract

    The results of a study on perceptual learning are reported. Dutch subjects made lexical decisions on a list of words and nonwords. Embedded in the list were either [f]- or [s]-final words in which the final fricative had been replaced by an ambiguous sound, midway between [f] and [s]. One group of listeners heard ambiguous [f]- final Dutch words like [kara?] (based on karaf, carafe) and unambiguous [s]-final words (e.g., karkas, carcase). A second group heard the reverse (e.g., ambiguous [karka?] and unambiguous karaf). After this training phase, listeners labelled ambiguous fricatives on an [f]- [s] continuum. The subjects who had heard [?] in [f]- final words categorised these fricatives as [f] reliably more often than those who had heard [?] in [s]-final words. These results suggest that speech recognition is dynamic: the system adjusts to the constraints of each particular listening situation. The lexicon can provide this adjustment process with a training signal.
  • Moore, R. K., & Cutler, A. (2001). Constraints on theories of human vs. machine recognition of speech. In R. Smits, J. Kingston, T. Neary, & R. Zondervan (Eds.), Proceedings of the workshop on Speech Recognition as Pattern Classification (SPRAAC) (pp. 145-150). Nijmegen: Max Planck Institute for Psycholinguistics.

    Abstract

    The central issues in the study of speech recognition by human listeners (HSR) and of automatic speech recognition (ASR) are clearly comparable; nevertheless the research communities that concern themselves with ASR and HSR are largely distinct. This paper compares the research objectives of the two fields, and attempts to draw informative lessons from one to the other.
  • Otake, T., & Cutler, A. (2001). Recognition of (almost) spoken words: Evidence from word play in Japanese. In P. Dalsgaard (Ed.), Proceedings of EUROSPEECH 2001 (pp. 465-468).

    Abstract

    Current models of spoken-word recognition assume automatic activation of multiple candidate words fully or partially compatible with the speech input. We propose that listeners make use of this concurrent activation in word play such as punning. Distortion in punning should ideally involve no more than a minimal contrastive deviation between two words, namely a phoneme. Moreover, we propose that this metric of similarity does not presuppose phonemic awareness on the part of the punster. We support these claims with an analysis of modern and traditional puns in Japanese (in which phonemic awareness in language users is not encouraged by alphabetic orthography). For both data sets, the results support the predictions. Punning draws on basic processes of spokenword recognition, common across languages.
  • Warner, N., Jongman, A., Mucke, D., & Cutler, A. (2001). The phonological status of schwa insertion in Dutch: An EMA study. In B. Maassen, W. Hulstijn, R. Kent, H. Peters, & P. v. Lieshout (Eds.), Speech motor control in normal and disordered speech: 4th International Speech Motor Conference (pp. 86-89). Nijmegen: Vantilt.

    Abstract

    Articulatory data are used to address the question of whether Dutch schwa insertion is a phonological or a phonetic process. By investigating tongue tip raising and dorsal lowering, we show that /l/ when it appears before inserted schwa is a light /l/, just as /l/ before an underlying schwa is, and unlike the dark /l/ before a consonant in non-insertion productions of the same words. The fact that inserted schwa can condition the light/dark /l/ alternation shows that schwa insertion involves the phonological insertion of a segment rather than phonetic adjustments to articulations.
  • Cutler, A., & Koster, M. (2000). Stress and lexical activation in Dutch. In B. Yuan, T. Huang, & X. Tang (Eds.), Proceedings of the Sixth International Conference on Spoken Language Processing: Vol. 1 (pp. 593-596). Beijing: China Military Friendship Publish.

    Abstract

    Dutch listeners were slower to make judgements about the semantic relatedness between a spoken target word (e.g. atLEET, 'athlete') and a previously presented visual prime word (e.g. SPORT 'sport') when the spoken word was mis-stressed. The adverse effect of mis-stressing confirms the role of stress information in lexical recognition in Dutch. However, although the erroneous stress pattern was always initially compatible with a competing word (e.g. ATlas, 'atlas'), mis-stressed words did not produced high false alarm rates in unrelated pairs (e.g. SPORT - atLAS). This suggests that stress information did not completely rule out segmentally matching but suprasegmentally mismatching words, a finding consistent with spoken-word recognition models involving multiple activation and inter-word competition.
  • Cutler, A., Norris, D., & McQueen, J. M. (2000). Tracking TRACE’s troubles. In A. Cutler, J. M. McQueen, & R. Zondervan (Eds.), Proceedings of SWAP (Workshop on Spoken Word Access Processes) (pp. 63-66). Nijmegen: Max-Planck-Institute for Psycholinguistics.

    Abstract

    Simulations explored the inability of the TRACE model of spoken-word recognition to model the effects on human listening of acoustic-phonetic mismatches in word forms. The source of TRACE's failure lay not in its interactive connectivity, not in the presence of interword competition, and not in the use of phonemic representations, but in the need for continuously optimised interpretation of the input. When an analogue of TRACE was allowed to cycle to asymptote on every slice of input, an acceptable simulation of the subcategorical mismatch data was achieved. Even then, however, the simulation was not as close as that produced by the Merge model.
  • Johnson, E. K., Jusczyk, P. W., Cutler, A., & Norris, D. (2000). The development of word recognition: The use of the possible-word constraint by 12-month-olds. In L. Gleitman, & A. Joshi (Eds.), Proceedings of CogSci 2000 (pp. 1034). London: Erlbaum.
  • McQueen, J. M., Cutler, A., & Norris, D. (2000). Positive and negative influences of the lexicon on phonemic decision-making. In B. Yuan, T. Huang, & X. Tang (Eds.), Proceedings of the Sixth International Conference on Spoken Language Processing: Vol. 3 (pp. 778-781). Beijing: China Military Friendship Publish.

    Abstract

    Lexical knowledge influences how human listeners make decisions about speech sounds. Positive lexical effects (faster responses to target sounds in words than in nonwords) are robust across several laboratory tasks, while negative effects (slower responses to targets in more word-like nonwords than in less word-like nonwords) have been found in phonetic decision tasks but not phoneme monitoring tasks. The present experiments tested whether negative lexical effects are therefore a task-specific consequence of the forced choice required in phonetic decision. We compared phoneme monitoring and phonetic decision performance using the same Dutch materials in each task. In both experiments there were positive lexical effects, but no negative lexical effects. We observe that in all studies showing negative lexical effects, the materials were made by cross-splicing, which meant that they contained perceptual evidence supporting the lexically-consistent phonemes. Lexical knowledge seems to influence phonemic decision-making only when there is evidence for the lexically-consistent phoneme in the speech signal.
  • McQueen, J. M., Cutler, A., & Norris, D. (2000). Why Merge really is autonomous and parsimonious. In A. Cutler, J. M. McQueen, & R. Zondervan (Eds.), Proceedings of SWAP (Workshop on Spoken Word Access Processes) (pp. 47-50). Nijmegen: Max-Planck-Institute for Psycholinguistics.

    Abstract

    We briefly describe the Merge model of phonemic decision-making, and, in the light of general arguments about the possible role of feedback in spoken-word recognition, defend Merge's feedforward structure. Merge not only accounts adequately for the data, without invoking feedback connections, but does so in a parsimonious manner.
  • Norris, D., Cutler, A., McQueen, J. M., Butterfield, S., & Kearns, R. K. (2000). Language-universal constraints on the segmentation of English. In A. Cutler, J. M. McQueen, & R. Zondervan (Eds.), Proceedings of SWAP (Workshop on Spoken Word Access Processes) (pp. 43-46). Nijmegen: Max-Planck-Institute for Psycholinguistics.

    Abstract

    Two word-spotting experiments are reported that examine whether the Possible-Word Constraint (PWC) [1] is a language-specific or language-universal strategy for the segmentation of continuous speech. The PWC disfavours parses which leave an impossible residue between the end of a candidate word and a known boundary. The experiments examined cases where the residue was either a CV syllable with a lax vowel, or a CVC syllable with a schwa. Although neither syllable context is a possible word in English, word-spotting in both contexts was easier than with a context consisting of a single consonant. The PWC appears to be language-universal rather than language-specific.
  • Norris, D., Cutler, A., & McQueen, J. M. (2000). The optimal architecture for simulating spoken-word recognition. In C. Davis, T. Van Gelder, & R. Wales (Eds.), Cognitive Science in Australia, 2000: Proceedings of the Fifth Biennial Conference of the Australasian Cognitive Science Society. Adelaide: Causal Productions.

    Abstract

    Simulations explored the inability of the TRACE model of spoken-word recognition to model the effects on human listening of subcategorical mismatch in word forms. The source of TRACE's failure lay not in interactive connectivity, not in the presence of inter-word competition, and not in the use of phonemic representations, but in the need for continuously optimised interpretation of the input. When an analogue of TRACE was allowed to cycle to asymptote on every slice of input, an acceptable simulation of the subcategorical mismatch data was achieved. Even then, however, the simulation was not as close as that produced by the Merge model, which has inter-word competition, phonemic representations and continuous optimisation (but no interactive connectivity).
  • Otake, T., & Cutler, A. (2000). A set of Japanese word cohorts rated for relative familiarity. In B. Yuan, T. Huang, & X. Tang (Eds.), Proceedings of the Sixth International Conference on Spoken Language Processing: Vol. 3 (pp. 766-769). Beijing: China Military Friendship Publish.

    Abstract

    A database is presented of relative familiarity ratings for 24 sets of Japanese words, each set comprising words overlapping in the initial portions. These ratings are useful for the generation of material sets for research in the recognition of spoken words.
  • 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.
  • Cutler, A. (1983). Semantics, syntax and sentence accent. In M. Van den Broecke, & A. Cohen (Eds.), Proceedings of the Tenth International Congress of Phonetic Sciences (pp. 85-91). Dordrecht: Foris.

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