James McQueen

Publications

Displaying 1 - 25 of 25
  • Ekerdt, C., Takashima, A., & McQueen, J. M. (2023). Memory consolidation in second language neurocognition. In K. Morgan-Short, & J. G. Van Hell (Eds.), The Routledge handbook of second language acquisition and neurolinguistics. Oxfordshire: Routledge.

    Abstract

    Acquiring a second language (L2) requires newly learned information to be integrated with existing knowledge. It has been proposed that several memory systems work together to enable this process of rapidly encoding new information and then slowly incorporating it with existing knowledge, such that it is consolidated and integrated into the language network without catastrophic interference. This chapter focuses on consolidation of L2 vocabulary. First, the complementary learning systems model is outlined, along with the model’s predictions regarding lexical consolidation. Next, word learning studies in first language (L1) that investigate the factors playing a role in consolidation, and the neural mechanisms underlying this, are reviewed. Using the L1 memory consolidation literature as background, the chapter then presents what is currently known about memory consolidation in L2 word learning. Finally, considering what is already known about L1 but not about L2, future research investigating memory consolidation in L2 neurocognition is proposed.
  • Kösem, A., Dai, B., McQueen, J. M., & Hagoort, P. (2023). Neural envelope tracking of speech does not unequivocally reflect intelligibility. NeuroImage, 272: 120040. doi:10.1016/j.neuroimage.2023.120040.

    Abstract

    During listening, brain activity tracks the rhythmic structures of speech signals. Here, we directly dissociated the contribution of neural envelope tracking in the processing of speech acoustic cues from that related to linguistic processing. We examined the neural changes associated with the comprehension of Noise-Vocoded (NV) speech using magnetoencephalography (MEG). Participants listened to NV sentences in a 3-phase training paradigm: (1) pre-training, where NV stimuli were barely comprehended, (2) training with exposure of the original clear version of speech stimulus, and (3) post-training, where the same stimuli gained intelligibility from the training phase. Using this paradigm, we tested if the neural responses of a speech signal was modulated by its intelligibility without any change in its acoustic structure. To test the influence of spectral degradation on neural envelope tracking independently of training, participants listened to two types of NV sentences (4-band and 2-band NV speech), but were only trained to understand 4-band NV speech. Significant changes in neural tracking were observed in the delta range in relation to the acoustic degradation of speech. However, we failed to find a direct effect of intelligibility on the neural tracking of speech envelope in both theta and delta ranges, in both auditory regions-of-interest and whole-brain sensor-space analyses. This suggests that acoustics greatly influence the neural tracking response to speech envelope, and that caution needs to be taken when choosing the control signals for speech-brain tracking analyses, considering that a slight change in acoustic parameters can have strong effects on the neural tracking response.
  • McQueen, J. M., Jesse, A., & Mitterer, H. (2023). Lexically mediated compensation for coarticulation still as elusive as a white christmash. Cognitive Science: a multidisciplinary journal, 47(9): e13342. doi:10.1111/cogs.13342.

    Abstract

    Luthra, Peraza-Santiago, Beeson, Saltzman, Crinnion, and Magnuson (2021) present data from the lexically mediated compensation for coarticulation paradigm that they claim provides conclusive evidence in favor of top-down processing in speech perception. We argue here that this evidence does not support that conclusion. The findings are open to alternative explanations, and we give data in support of one of them (that there is an acoustic confound in the materials). Lexically mediated compensation for coarticulation thus remains elusive, while prior data from the paradigm instead challenge the idea that there is top-down processing in online speech recognition.

    Additional information

    supplementary materials
  • Mickan, A., McQueen, J. M., Brehm, L., & Lemhöfer, K. (2023). Individual differences in foreign language attrition: A 6-month longitudinal investigation after a study abroad. Language, Cognition and Neuroscience, 38(1), 11-39. doi:10.1080/23273798.2022.2074479.

    Abstract

    While recent laboratory studies suggest that the use of competing languages is a driving force in foreign language (FL) attrition (i.e. forgetting), research on “real” attriters has failed to demonstrate
    such a relationship. We addressed this issue in a large-scale longitudinal study, following German students throughout a study abroad in Spain and their first six months back in Germany. Monthly,
    percentage-based frequency of use measures enabled a fine-grained description of language use.
    L3 Spanish forgetting rates were indeed predicted by the quantity and quality of Spanish use, and
    correlated negatively with L1 German and positively with L2 English letter fluency. Attrition rates
    were furthermore influenced by prior Spanish proficiency, but not by motivation to maintain
    Spanish or non-verbal long-term memory capacity. Overall, this study highlights the importance
    of language use for FL retention and sheds light on the complex interplay between language
    use and other determinants of attrition.
  • Severijnen, G. G. A., Bosker, H. R., & McQueen, J. M. (2023). Syllable rate drives rate normalization, but is not the only factor. In R. Skarnitzl, & J. Volín (Eds.), Proceedings of the 20th International Congress of the Phonetic Sciences (ICPhS 2023) (pp. 56-60). Prague: Guarant International.

    Abstract

    Speech is perceived relative to the speech rate in the context. It is unclear, however, what information listeners use to compute speech rate. The present study examines whether listeners use the number of
    syllables per unit time (i.e., syllable rate) as a measure of speech rate, as indexed by subsequent vowel perception. We ran two rate-normalization experiments in which participants heard duration-matched word lists that contained either monosyllabic
    vs. bisyllabic words (Experiment 1), or monosyllabic vs. trisyllabic pseudowords (Experiment 2). The participants’ task was to categorize an /ɑ-aː/ continuum that followed the word lists. The monosyllabic condition was perceived as slower (i.e., fewer /aː/ responses) than the bisyllabic and
    trisyllabic condition. However, no difference was observed between bisyllabic and trisyllabic contexts. Therefore, while syllable rate is used in perceiving speech rate, other factors, such as fast speech processes, mean F0, and intensity, must also influence rate normalization.
  • Severijnen, G. G. A., Di Dona, G., Bosker, H. R., & McQueen, J. M. (2023). Tracking talker-specific cues to lexical stress: Evidence from perceptual learning. Journal of Experimental Psychology: Human Perception and Performance, 49(4), 549-565. doi:10.1037/xhp0001105.

    Abstract

    When recognizing spoken words, listeners are confronted by variability in the speech signal caused by talker differences. Previous research has focused on segmental talker variability; less is known about how suprasegmental variability is handled. Here we investigated the use of perceptual learning to deal with between-talker differences in lexical stress. Two groups of participants heard Dutch minimal stress pairs (e.g., VOORnaam vs. voorNAAM, “first name” vs. “respectable”) spoken by two male talkers. Group 1 heard Talker 1 use only F0 to signal stress (intensity and duration values were ambiguous), while Talker 2 used only intensity (F0 and duration were ambiguous). Group 2 heard the reverse talker-cue mappings. After training, participants were tested on words from both talkers containing conflicting stress cues (“mixed items”; e.g., one spoken by Talker 1 with F0 signaling initial stress and intensity signaling final stress). We found that listeners used previously learned information about which talker used which cue to interpret the mixed items. For example, the mixed item described above tended to be interpreted as having initial stress by Group 1 but as having final stress by Group 2. This demonstrates that listeners learn how individual talkers signal stress and use that knowledge in spoken-word recognition.
  • Uluşahin, O., Bosker, H. R., McQueen, J. M., & Meyer, A. S. (2023). No evidence for convergence to sub-phonemic F2 shifts in shadowing. In R. Skarnitzl, & J. Volín (Eds.), Proceedings of the 20th International Congress of the Phonetic Sciences (ICPhS 2023) (pp. 96-100). Prague: Guarant International.

    Abstract

    Over the course of a conversation, interlocutors sound more and more like each other in a process called convergence. However, the automaticity and grain size of convergence are not well established. This study therefore examined whether female native Dutch speakers converge to large yet sub-phonemic shifts in the F2 of the vowel /e/. Participants first performed a short reading task to establish baseline F2s for the vowel /e/, then shadowed 120 target words (alongside 360 fillers) which contained one instance of a manipulated vowel /e/ where the F2 had been shifted down to that of the vowel /ø/. Consistent exposure to large (sub-phonemic) downward shifts in F2 did not result in convergence. The results raise issues for theories which view convergence as a product of automatic integration between perception and production.
  • Witteman, J., Karaseva, E., Schiller, N. O., & McQueen, J. M. (2023). What does successful L2 vowel acquisition depend on? A conceptual replication. In R. Skarnitzl, & J. Volín (Eds.), Proceedings of the 20th International Congress of the Phonetic Sciences (ICPhS 2023) (pp. 928-931). Prague: Guarant International.

    Abstract

    It has been suggested that individual variation in vowel compactness of the native language (L1) and the distance between L1 vowels and vowels in the second language (L2) predict successful L2 vowel acquisition. Moreover, general articulatory skills have been proposed to account for variation in vowel compactness. In the present work, we conceptually replicate a previous study to test these hypotheses with a large sample size, a new language pair and a
    new vowel pair. We find evidence that individual variation in L1 vowel compactness has opposing effects for two different vowels. We do not find evidence that individual variation in L1 compactness
    is explained by general articulatory skills. We conclude that the results found previously might be specific to sub-groups of L2 learners and/or specific sub-sets of vowel pairs.
  • Goriot, C., McQueen, J. M., Unsworth, S., & Van Hout, R. (2020). Perception of English phonetic contrasts by Dutch children: How bilingual are early-English learners? PLoS One, 15(3): e0229902. doi:10.1371/journal.pone.0229902.

    Abstract

    The aim of this study was to investigate whether early-English education benefits the perception
    of English phonetic contrasts that are known to be perceptually confusable for Dutch
    native speakers, comparing Dutch pupils who were enrolled in an early-English programme
    at school from the age of four with pupils in a mainstream programme with English instruction
    from the age of 11, and English-Dutch early bilingual children. Children were 4-5-yearolds
    (start of primary school), 8-9-year-olds, or 11-12-year-olds (end of primary school).
    Children were tested on four contrasts that varied in difficulty: /b/-/s/ (easy), /k/-/ɡ/ (intermediate),
    /f/-/θ/ (difficult), /ε/-/æ/ (very difficult). Bilingual children outperformed the two other
    groups on all contrasts except /b/-/s/. Early-English pupils did not outperform mainstream
    pupils on any of the contrasts. This shows that early-English education as it is currently
    implemented is not beneficial for pupils’ perception of non-native contrasts.

    Additional information

    Supporting information
  • Hintz*, F., Jongman*, S. R., Dijkhuis, M., Van 't Hoff, V., McQueen, J. M., & Meyer, A. S. (2020). Shared lexical access processes in speaking and listening? An individual differences study. Journal of Experimental Psychology: Learning, Memory, and Cognition, 46(6), 1048-1063. doi:10.1037/xlm0000768.

    Abstract

    - * indicates joint first authorship - Lexical access is a core component of word processing. In order to produce or comprehend a word, language users must access word forms in their mental lexicon. However, despite its involvement in both tasks, previous research has often studied lexical access in either production or comprehension alone. Therefore, it is unknown to which extent lexical access processes are shared across both tasks. Picture naming and auditory lexical decision are considered good tools for studying lexical access. Both of them are speeded tasks. Given these commonalities, another open question concerns the involvement of general cognitive abilities (e.g., processing speed) in both linguistic tasks. In the present study, we addressed these questions. We tested a large group of young adults enrolled in academic and vocational courses. Participants completed picture naming and auditory lexical decision tasks as well as a battery of tests assessing non-verbal processing speed, vocabulary, and non-verbal intelligence. Our results suggest that the lexical access processes involved in picture naming and lexical decision are related but less closely than one might have thought. Moreover, reaction times in picture naming and lexical decision depended as least as much on general processing speed as on domain-specific linguistic processes (i.e., lexical access processes).
  • Hintz, F., Dijkhuis, M., Van 't Hoff, V., McQueen, J. M., & Meyer, A. S. (2020). A behavioural dataset for studying individual differences in language skills. Scientific Data, 7: 429. doi:10.1038/s41597-020-00758-x.

    Abstract

    This resource contains data from 112 Dutch adults (18–29 years of age) who completed the Individual Differences in Language Skills test battery that included 33 behavioural tests assessing language skills and domain-general cognitive skills likely involved in language tasks. The battery included tests measuring linguistic experience (e.g. vocabulary size, prescriptive grammar knowledge), general cognitive skills (e.g. working memory, non-verbal intelligence) and linguistic processing skills (word production/comprehension, sentence production/comprehension). Testing was done in a lab-based setting resulting in high quality data due to tight monitoring of the experimental protocol and to the use of software and hardware that were optimized for behavioural testing. Each participant completed the battery twice (i.e., two test days of four hours each). We provide the raw data from all tests on both days as well as pre-processed data that were used to calculate various reliability measures (including internal consistency and test-retest reliability). We encourage other researchers to use this resource for conducting exploratory and/or targeted analyses of individual differences in language and general cognitive skills.
  • McQueen, J. M., & Dilley, L. C. (2020). Prosody and spoken-word recognition. In C. Gussenhoven, & A. Chen (Eds.), The Oxford handbook of language prosody (pp. 509-521). Oxford: Oxford University Press.

    Abstract

    This chapter outlines a Bayesian model of spoken-word recognition and reviews how
    prosody is part of that model. The review focuses on the information that assists the lis­
    tener in recognizing the prosodic structure of an utterance and on how spoken-word
    recognition is also constrained by prior knowledge about prosodic structure. Recognition
    is argued to be a process of perceptual inference that ensures that listening is robust to
    variability in the speech signal. In essence, the listener makes inferences about the seg­
    mental content of each utterance, about its prosodic structure (simultaneously at differ­
    ent levels in the prosodic hierarchy), and about the words it contains, and uses these in­
    ferences to form an utterance interpretation. Four characteristics of the proposed
    prosody-enriched recognition model are discussed: parallel uptake of different informa­
    tion types, high contextual dependency, adaptive processing, and phonological abstrac­
    tion. The next steps that should be taken to develop the model are also discussed.
  • McQueen, J. M., Eisner, F., Burgering, M. A., & Vroomen, J. (2020). Specialized memory systems for learning spoken words. Journal of Experimental Psychology: Learning, Memory, and Cognition, 46(1), 189-199. doi:10.1037/xlm0000704.

    Abstract

    Learning new words entails, inter alia, encoding of novel sound patterns and transferring those patterns from short-term to long-term memory. We report a series of 5 experiments that investigated whether the memory systems engaged in word learning are specialized for speech and whether utilization of these systems results in a benefit for word learning. Sine-wave synthesis (SWS) was applied to spoken nonwords, and listeners were or were not informed (through instruction and familiarization) that the SWS stimuli were derived from actual utterances. This allowed us to manipulate whether listeners would process sound sequences as speech or as nonspeech. In a sound–picture association learning task, listeners who processed the SWS stimuli as speech consistently learned faster and remembered more associations than listeners who processed the same stimuli as nonspeech. The advantage of listening in “speech mode” was stable over the course of 7 days. These results provide causal evidence that access to a specialized, phonological short-term memory system is important for word learning. More generally, this study supports the notion that subsystems of auditory short-term memory are specialized for processing different types of acoustic information.

    Additional information

    Supplemental material
  • Mickan, A., McQueen, J. M., & Lemhöfer, K. (2020). Between-language competition as a driving force in foreign language attrition. Cognition, 198: 104218. doi:10.1016/j.cognition.2020.104218.

    Abstract

    Research in the domain of memory suggests that forgetting is primarily driven by interference and competition from other, related memories. Here we ask whether similar dynamics are at play in foreign language (FL) attrition. We tested whether interference from translation equivalents in other, more recently used languages causes subsequent retrieval failure in L3. In Experiment 1, we investigated whether interference from the native language (L1) and/or from another foreign language (L2) affected L3 vocabulary retention. On day 1, Dutch native speakers learned 40 new Spanish (L3) words. On day 2, they performed a number of retrieval tasks in either Dutch (L1) or English (L2) on half of these words, and then memory for all items was tested again in L3 Spanish. Recall in Spanish was slower and less complete for words that received interference than for words that did not. In naming speed, this effect was larger for L2 compared to L1 interference. Experiment 2 replicated the interference effect and asked if the language difference can be explained by frequency of use differences between native- and non-native languages. Overall, these findings suggest that competition from more recently used languages, and especially other foreign languages, is a driving force behind FL attrition.

    Additional information

    Supplementary data
  • Baayen, R. H., McQueen, J. M., Dijkstra, T., & Schreuder, R. (2003). Frequency effects in regular inflectional morphology: Revisiting Dutch plurals. In R. H. Baayen, & R. Schreuder (Eds.), Morphological structure in language processing (pp. 355-390). Berlin: Mouton de Gruyter.
  • Baayen, R. H., McQueen, J. M., Dijkstra, T., & Schreuder, R. (2003). Frequency effects in regular inflectional morphology: Revisiting Dutch plurals. In R. H. Baayen, & R. Schreuder (Eds.), Morphological Structure in Language Processing (pp. 355-390). Berlin, Germany: Mouton De Gruyter.
  • McQueen, J. M. (2003). The ghost of Christmas future: Didn't Scrooge learn to be good? Commentary on Magnuson, McMurray, Tanenhaus and Aslin (2003). Cognitive Science, 27(5), 795-799. doi:10.1207/s15516709cog2705_6.

    Abstract

    Magnuson, McMurray, Tanenhaus, and Aslin [Cogn. Sci. 27 (2003) 285] suggest that they have evidence of lexical feedback in speech perception, and that this evidence thus challenges the purely feedforward Merge model [Behav. Brain Sci. 23 (2000) 299]. This evidence is open to an alternative explanation, however, one which preserves the assumption in Merge that there is no lexical-prelexical feedback during on-line speech processing. This explanation invokes the distinction between perceptual processing that occurs in the short term, as an utterance is heard, and processing that occurs over the longer term, for perceptual learning.
  • McQueen, J. M., & Cho, T. (2003). The use of domain-initial strengthening in segmentation of continuous English speech. In Proceedings of the 15th International Congress of Phonetic Sciences (ICPhS 2003) (pp. 2993-2996). Adelaide: Causal Productions.
  • McQueen, J. M., Dahan, D., & Cutler, A. (2003). Continuity and gradedness in speech processing. In N. O. Schiller, & A. S. Meyer (Eds.), Phonetics and phonology in language comprehension and production: Differences and similarities (pp. 39-78). Berlin: Mouton de Gruyter.
  • McQueen, J. M., Cutler, A., & Norris, D. (2003). Flow of information in the spoken word recognition system. Speech Communication, 41(1), 257-270. doi:10.1016/S0167-6393(02)00108-5.

    Abstract

    Spoken word recognition consists of two major component processes. First, at the prelexical stage, an abstract description of the utterance is generated from the information in the speech signal. Second, at the lexical stage, this description is used to activate all the words stored in the mental lexicon which match the input. These multiple candidate words then compete with each other. We review evidence which suggests that positive (match) and negative (mismatch) information of both a segmental and a suprasegmental nature is used to constrain this activation and competition process. We then ask whether, in addition to the necessary influence of the prelexical stage on the lexical stage, there is also feedback from the lexicon to the prelexical level. In two phonetic categorization experiments, Dutch listeners were asked to label both syllable-initial and syllable-final ambiguous fricatives (e.g., sounds ranging from [f] to [s]) in the word–nonword series maf–mas, and the nonword–word series jaf–jas. They tended to label the sounds in a lexically consistent manner (i.e., consistent with the word endpoints of the series). These lexical effects became smaller in listeners’ slower responses, even when the listeners were put under pressure to respond as fast as possible. Our results challenge models of spoken word recognition in which feedback modulates the prelexical analysis of the component sounds of a word whenever that word is heard
  • Norris, D., McQueen, J. M., & Cutler, A. (2003). Perceptual learning in speech. Cognitive Psychology, 47(2), 204-238. doi:10.1016/S0010-0285(03)00006-9.

    Abstract

    This study demonstrates that listeners use lexical knowledge in perceptual learning of speech sounds. Dutch listeners first made lexical decisions on Dutch words and nonwords. The final fricative of 20 critical words had been replaced by an ambiguous sound, between [f] and [s]. One group of listeners heard ambiguous [f]-final words (e.g., [WI tlo?], from witlof, chicory) and unambiguous [s]-final words (e.g., naaldbos, pine forest). Another group heard the reverse (e.g., ambiguous [na:ldbo?], unambiguous witlof). Listeners who had heard [?] in [f]-final words were subsequently more likely to categorize ambiguous sounds on an [f]–[s] continuum as [f] than those who heard [?] in [s]-final words. Control conditions ruled out alternative explanations based on selective adaptation and contrast. Lexical information can thus be used to train categorization of speech. This use of lexical information differs from the on-line lexical feedback embodied in interactive models of speech perception. In contrast to on-line feedback, lexical feedback for learning is of benefit to spoken word recognition (e.g., in adapting to a newly encountered dialect).
  • Salverda, A. P., Dahan, D., & McQueen, J. M. (2003). The role of prosodic boundaries in the resolution of lexical embedding in speech comprehension. Cognition, 90(1), 51-89. doi:10.1016/S0010-0277(03)00139-2.

    Abstract

    Participants' eye movements were monitored as they heard sentences and saw four pictured objects on a computer screen. Participants were instructed to click on the object mentioned in the sentence. There were more transitory fixations to pictures representing monosyllabic words (e.g. ham) when the first syllable of the target word (e.g. hamster) had been replaced by a recording of the monosyllabic word than when it came from a different recording of the target word. This demonstrates that a phonemically identical sequence can contain cues that modulate its lexical interpretation. This effect was governed by the duration of the sequence, rather than by its origin (i.e. which type of word it came from). The longer the sequence, the more monosyllabic-word interpretations it generated. We argue that cues to lexical-embedding disambiguation, such as segmental lengthening, result from the realization of a prosodic boundary that often but not always follows monosyllabic words, and that lexical candidates whose word boundaries are aligned with prosodic boundaries are favored in the word-recognition process.
  • Scharenborg, O., McQueen, J. M., Ten Bosch, L., & Norris, D. (2003). Modelling human speech recognition using automatic speech recognition paradigms in SpeM. In Proceedings of Eurospeech 2003 (pp. 2097-2100). Adelaide: Causal Productions.

    Abstract

    We have recently developed a new model of human speech recognition, based on automatic speech recognition techniques [1]. The present paper has two goals. First, we show that the new model performs well in the recognition of lexically ambiguous input. These demonstrations suggest that the model is able to operate in the same optimal way as human listeners. Second, we discuss how to relate the behaviour of a recogniser, designed to discover the optimum path through a word lattice, to data from human listening experiments. We argue that this requires a metric that combines both path-based and word-based measures of recognition performance. The combined metric varies continuously as the input speech signal unfolds over time.
  • Smits, R., Warner, N., McQueen, J. M., & Cutler, A. (2003). Unfolding of phonetic information over time: A database of Dutch diphone perception. Journal of the Acoustical Society of America, 113(1), 563-574. doi:10.1121/1.1525287.

    Abstract

    We present the results of a large-scale study on speech perception, assessing the number and type of perceptual hypotheses which listeners entertain about possible phoneme sequences in their language. Dutch listeners were asked to identify gated fragments of all 1179 diphones of Dutch, providing a total of 488 520 phoneme categorizations. The results manifest orderly uptake of acoustic information in the signal. Differences across phonemes in the rate at which fully correct recognition was achieved arose as a result of whether or not potential confusions could occur with other phonemes of the language ~long with short vowels, affricates with their initial components, etc.!. These data can be used to improve models of how acoustic phonetic information is mapped onto the mental lexicon during speech comprehension.
  • Spinelli, E., McQueen, J. M., & Cutler, A. (2003). Processing resyllabified words in French. Journal of Memory and Language, 48(2), 233-254. doi:10.1016/S0749-596X(02)00513-2.

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