Anne Cutler †

Publications

Displaying 1 - 12 of 12
  • Asano, Y., Yuan, C., Grohe, A.-K., Weber, A., Antoniou, M., & Cutler, A. (2020). Uptalk interpretation as a function of listening experience. In N. Minematsu, M. Kondo, T. Arai, & R. Hayashi (Eds.), Proceedings of Speech Prosody 2020 (pp. 735-739). Tokyo: ISCA. doi:10.21437/SpeechProsody.2020-150.

    Abstract

    The term “uptalk” describes utterance-final pitch rises that carry no sentence-structural information. Uptalk is usually dialectal or sociolectal, and Australian English (AusEng) is particularly known for this attribute. We ask here whether experience with an uptalk variety affects listeners’ ability to categorise rising pitch contours on the basis of the timing and height of their onset and offset. Listeners were two groups of English-speakers (AusEng, and American English), and three groups of listeners with L2 English: one group with Mandarin as L1 and experience of listening to AusEng, one with German as L1 and experience of listening to AusEng, and one with German as L1 but no AusEng experience. They heard nouns (e.g. flower, piano) in the framework “Got a NOUN”, each ending with a pitch rise artificially manipulated on three contrasts: low vs. high rise onset, low vs. high rise offset and early vs. late rise onset. Their task was to categorise the tokens as “question” or “statement”, and we analysed the effect of the pitch contrasts on their judgements. Only the native AusEng listeners were able to use the pitch contrasts systematically in making these categorisations.
  • Yu, J., Mailhammer, R., & Cutler, A. (2020). Vocabulary structure affects word recognition: Evidence from German listeners. In N. Minematsu, M. Kondo, T. Arai, & R. Hayashi (Eds.), Proceedings of Speech Prosody 2020 (pp. 474-478). Tokyo: ISCA. doi:10.21437/SpeechProsody.2020-97.

    Abstract

    Lexical stress is realised similarly in English, German, and
    Dutch. On a suprasegmental level, stressed syllables tend to be
    longer and more acoustically salient than unstressed syllables;
    segmentally, vowels in unstressed syllables are often reduced.
    The frequency of unreduced unstressed syllables (where only
    the suprasegmental cues indicate lack of stress) however,
    differs across the languages. The present studies test whether
    listener behaviour is affected by these vocabulary differences,
    by investigating German listeners’ use of suprasegmental cues
    to lexical stress in German and English word recognition. In a
    forced-choice identification task, German listeners correctly
    assigned single-syllable fragments (e.g., Kon-) to one of two
    words differing in stress (KONto, konZEPT). Thus, German
    listeners can exploit suprasegmental information for
    identifying words. German listeners also performed above
    chance in a similar task in English (with, e.g., DIver, diVERT),
    i.e., their sensitivity to these cues also transferred to a nonnative
    language. An English listener group, in contrast, failed
    in the English fragment task. These findings mirror vocabulary
    patterns: German has more words with unreduced unstressed
    syllables than English does.
  • 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., & Fear, B. D. (1991). Categoricality in acceptability judgements for strong versus weak vowels. In J. Llisterri (Ed.), Proceedings of the ESCA Workshop on Phonetics and Phonology of Speaking Styles (pp. 18.1-18.5). Barcelona, Catalonia: Universitat Autonoma de Barcelona.

    Abstract

    A distinction between strong and weak vowels can be drawn on the basis of vowel quality, of stress, or of both factors. An experiment was conducted in which sets of contextually matched word-intial vowels ranging from clearly strong to clearly weak were cross-spliced, and the naturalness of the resulting words was rated by listeners. The ratings showed that in general cross-spliced words were only significantly less acceptable than unspliced words when schwa was not involved; this supports a categorical distinction based on vowel quality.
  • Cutler, A. (1991). Prosody in situations of communication: Salience and segmentation. In Proceedings of the Twelfth International Congress of Phonetic Sciences: Vol. 1 (pp. 264-270). Aix-en-Provence: Université de Provence, Service des publications.

    Abstract

    Speakers and listeners have a shared goal: to communicate. The processes of speech perception and of speech production interact in many ways under the constraints of this communicative goal; such interaction is as characteristic of prosodic processing as of the processing of other aspects of linguistic structure. Two of the major uses of prosodic information in situations of communication are to encode salience and segmentation, and these themes unite the contributions to the symposium introduced by the present review.
  • Van Ooijen, B., Cutler, A., & Norris, D. (1991). Detection times for vowels versus consonants. In Eurospeech 91: Vol. 3 (pp. 1451-1454). Genova: Istituto Internazionale delle Comunicazioni.

    Abstract

    This paper reports two experiments with vowels and consonants as phoneme detection targets in real words. In the first experiment, two relatively distinct vowels were compared with two confusible stop consonants. Response times to the vowels were longer than to the consonants. Response times correlated negatively with target phoneme length. In the second, two relatively distinct vowels were compared with their corresponding semivowels. This time, the vowels were detected faster than the semivowels. We conclude that response time differences between vowels and stop consonants in this task may reflect differences between phoneme categories in the variability of tokens, both in the acoustic realisation of targets and in the' representation of targets by subjects.
  • 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.
  • Scott, D. R., & Cutler, A. (1982). Segmental cues to syntactic structure. In Proceedings of the Institute of Acoustics 'Spectral Analysis and its Use in Underwater Acoustics' (pp. E3.1-E3.4). London: Institute of Acoustics.
  • 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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