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08-03-2021 | Original Article

Effects of temporal order and intentionality on reflective attention to words in noise

Auteurs: T. M. Vanessa Chan, Bradley R. Buchsbaum, Claude Alain

Gepubliceerd in: Psychological Research | Uitgave 2/2022

Abstract

Speech perception in noise is a cognitively demanding process that challenges not only the auditory sensory system, but also cognitive networks involved in attention. The predictive coding theory has been influential in characterizing the influence of prior context on processing incoming auditory stimuli, with comparatively less research dedicated to “postdictive” processes and subsequent context effects on speech perception. Effects of subsequent semantic context were evaluated while manipulating the relationship of three target words presented in noise and the temporal position of targets compared to the subsequent contextual cue, demonstrating that subsequent context benefits were present regardless of whether the targets were related to each other and did not depend on the position of the target. However, participants instructed to focus on the relation between target and cue performed worse than those who did not receive this instruction, suggesting a disruption of a natural process of continuous speech recognition. We discuss these findings in relation to lexical commitment and stimulus-driven attention to short-term memory as mechanisms of subsequent context integration.

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Alain, C., Cusimano, M., Garami, L., Backer, K. C., Habelt, B., Chan, V., & Hasher, L. (2018). Age-related differences in orienting attention to sound object representations. Neurobiology of Aging, 66, 1–11.PubMed

Backer, K. C., & Alain, C. (2012). Orienting attention to sound object representations attenuates change deafness. Journal of Experimental Psychology: Human Perception and Performance, 38(6), 1554–1566.PubMed

Backer, K. C., & Alain, C. (2014). Attention to memory: Orienting attention to sound object representations. Psychological Research Psychologische Forschung, 78(3), 439–452.PubMed

Backer, K. C., Binns, M., & Alain, C. (2015). Neural dynamics underlying attentional orienting to auditory representations in short-term memory. Journal of Neuroscience, 35(3), 1307–1318.PubMed

Bard, E. G., Shillcock, R. C., & Altmann, G. T. (1988). The recognition of words after their acoustic offsets in spontaneous speech: Effects of subsequent context. Perception & Psychophysics, 44(5), 395–408.

Bates, D., Mächler, M., Bolker, B., & Walker, S. (2014). Fitting linear mixed-effects models using lme4. arXiv preprint arXiv:1406.5823

Bregman, A. S. (1990). Auditory scene analysis: The perceptual organization of sound. MIT Press.

Chan, T. V., & Alain, C. (2019). Listening back in time: Does attention to memory facilitate word-in-noise identification? Attention, Perception, & Psychophysics, 81(1), 253–269.

Connine, C. M., Blasko, D. G., & Hall, M. (1991). Effects of subsequent sentence context in auditory word recognition: Temporal and linguistic constraints. Journal of Memory and Language, 30(2), 234–250.

Davelaar, E. J., Haarmann, H. J., Goshen-Gottstein, Y., & Usher, M. (2006). Semantic similarity dissociates short- from long-term recency effects: Testing a neurocomputational model of list memory. Memory & Cognition, 34(2), 323–334.

Davis, M. H., Ford, M. A., Kherif, F., & Johnsrude, I. S. (2011). Does semantic context benefit speech understanding through “top–down” processes? Evidence from time-resolved sparse fMRI. Journal of Cognitive Neuroscience, 23(12), 3914–3932.PubMed

Falissard, B. (2012). psy: Various procedures used in psychometry. R package version 1.1. https://CRAN.R-project.org/package=psy

Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191.PubMed

Frankish, C. (2008). Precategorical acoustic storage and the perception of speech. Journal of Memory and Language, 58(3), 815–836.

Friston, K. (2010). The free-energy principle: A unified brain theory? Nature Reviews Neuroscience, 11(2), 127–138.PubMed

Füllgrabe, C., & Rosen, S. (2016). On the (un)importance of working memory in speech-in-noise processing for listeners with normal hearing thresholds. Frontiers in Psychology, 7, 1268.PubMedPubMedCentral

Gilbert, R. A., Davis, M. H., Gaskell, M. G., & Rodd, J. M. (2019). The relationship between sentence comprehension and lexical-semantic retuning. PsyArXiv. https://doi.org/10.31234/osf.io/qvaudCrossRef

Golestani, N., Hervais-Adelman, A., Obleser, J., & Scott, S. K. (2013). Semantic versus perceptual interactions in neural processing of speech-in-noise. NeuroImage, 79, 52–61.PubMed

Gordon-Salant, S., & Cole, S. S. (2016). Effects of age and working memory capacity on speech recognition performance in noise among listeners with normal hearing. Ear and Hearing, 37(5), 593–602.PubMed

Griffin, I. C., & Nobre, A. C. (2003). Orienting attention to locations in internal representations. Journal of Cognitive Neuroscience, 15(8), 1176–1194.PubMed

Guediche, S., Reilly, M., Santiago, C., Laurent, P., & Blumstein, S. E. (2016). An fMRI study investigating effects of conceptually related sentences on the perception of degraded speech. Cortex, 79, 57–74.PubMedPubMedCentral

Guediche, S., Salvata, C., & Blumstein, S. E. (2013). Temporal cortex reflects effects of sentence context on phonetic processing. Journal of Cognitive Neuroscience, 25(5), 706–718.PubMedPubMedCentral

Gwilliams, L., Linzen, T., Poeppel, D., & Marantz, A. (2018). In spoken word recognition, the future predicts the past. Journal of Neuroscience, 38(35), 7585–7599.PubMed

Hervais-Adelman, A., Davis, M. H., Johnsrude, I. S., & Carlyon, R. P. (2008). Perceptual learning of noise vocoded words: Effects of feedback and lexicality. Journal of Experimental Psychology: Human Perception and Performance, 34(2), 460–474.PubMed

Kalikow, D. N., Stevens, K. N., & Elliott, L. L. (1977). Development of a test of speech intelligibility in noise using sentence materials with controlled word predictability. The Journal of the Acoustical Society of America, 61(5), 1337–1351.PubMed

Klatt, L.-I., Getzmann, S., Wascher, E., & Schneider, D. (2018). Searching for auditory targets in external space and in working memory: Electrophysiological mechanisms underlying perceptual and retroactive spatial attention. Behavioural Brain Research, 353, 98–107.PubMed

Koo, T. K., & Li, M. Y. (2016). A guideline of selecting and reporting intraclass correlation coefficients for reliability research. Journal of Chiropractic Medicine, 15(2), 155–163.PubMedPubMedCentral

Lenth, R., Singmann, H., & Love, J. (2018). Emmeans: Estimated marginal means, aka least-squares means. R package version 1.5.2. https://cran.r-project.org/package=emmeans

Lim, S.-J., Wöstmann, M., & Obleser, J. (2015). Selective attention to auditory memory neurally enhances perceptual precision. Journal of Neuroscience, 35(49), 16094–16104.PubMed

Lund, K., & Burgess, C. (1996). Producing high-dimensional semantic spaces from lexical co-occurrence. Behavior Research Methods, Instruments, & Computers, 28(2), 203–208.

Marslen-Wilson, W. D., & Welsh, A. (1978). Processing interactions and lexical access during word recognition in continuous speech. Cognitive Psychology, 10(1), 29–63.

McClelland, J. L., & Elman, J. L. (1986). The TRACE model of speech perception. Cognitive Psychology, 18(1), 1–86.PubMed

McMurray, B., Tanenhaus, M. K., & Aslin, R. N. (2009). Within-category VOT affects recovery from “lexical” garden paths: Evidence against phoneme-level inhibition. Journal of Memory and Language, 60(1), 65–91.PubMedPubMedCentral

Meyer, D. E., & Schvaneveldt, R. W. (1971). Facilitation in recognizing pairs of words: Evidence of a dependence between retrieval operations. Journal of Experimental Psychology, 90(2), 227.PubMed

Nelson, D., McEvoy, C., & Schreiber, T. (2004). The University of South Florida free association, rhyme, and word fragment norms. Behavior Research Methods, Instruments, & Computers, 36, 402–407.

Obleser, J., & Kotz, S. A. (2010). Expectancy constraints in degraded speech modulate the language comprehension network. Cerebral Cortex, 20(3), 633–640.PubMed

Obleser, J., & Kotz, S. A. (2011). Multiple brain signatures of integration in the comprehension of degraded speech. NeuroImage, 55(2), 713–723.PubMed

Pichora-Fuller, M. K., Alain, C., & Schneider, B. A. (2017). Older adults at the cocktail party in the auditory system at the cocktail party (pp. 227–259). Springer.

Pichora-Fuller, M. K., Schneider, B. A., & Daneman, M. (1995). How young and old adults listen to and remember speech in noise. The Journal of the Acoustical Society of America, 97(1), 593–608.PubMed

R Core Team. (2019). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/

Rönnberg, J., Holmer, E., & Rudner, M. (2019). Cognitive hearing science and ease of language understanding. International Journal of Audiology, 58(5), 247–261.PubMed

Rönnberg, J., Lunner, T., Zekveld, A., Sörqvist, P., Danielsson, H., Lyxell, B., Dahlström, Ö., Signoret, C., Stenfelt, S., Pichora-Fuller, M. K., & Rudner, M. (2013). The Ease of Language Understanding (ELU) model: Theoretical, empirical, and clinical advances. Frontiers in Systems Neuroscience, 7, 31.PubMedPubMedCentral

Scherer, D., & Wentura, D. (2018). Combining the post-cue task and the perceptual identification task to assess parallel activation and mutual facilitation of related primes and targets. Experimental Psychology, 65(2), 84–97.PubMed

Sheldon, S., Pichora-Fuller, M. K., & Schneider, B. A. (2008). Priming and sentence context support listening to noise-vocoded speech by younger and older adults. The Journal of the Acoustical Society of America, 123(1), 489–499.PubMed

Sohoglu, E., Peelle, J. E., Carlyon, R. P., & Davis, M. H. (2012). Predictive top-down integration of prior knowledge during speech perception. Journal of Neuroscience, 32(25), 8443–8453.PubMed

Sumby, W. H., & Pollack, I. (1954). Visual contribution to speech intelligibility in noise. The Journal of the Acoustical Society of America, 26(2), 212–215.

Szostak, C. M., & Pitt, M. A. (2013). The prolonged influence of subsequent context on spoken word recognition. Attention, Perception, & Psychophysics, 75(7), 1533–1546.

Voeten, C. C. (2019). buildmer: Stepwise elimination and term reordering for mixed-effects regression. R package version 1.2.1. https://cran.r-project.org/package=buildmer

Wallis, G., Stokes, M., Cousijn, H., Woolrich, M., & Nobre, A. C. (2015). Frontoparietal and cingulo-opercular networks play dissociable roles in control of working memory. Journal of Cognitive Neuroscience, 27(10), 2019–2034.PubMed

Warren, R. M. (1970). Perceptual restoration of missing speech sounds. Science, 167(3917), 392–393.PubMed

Warren, R. M., & Sherman, G. L. (1974). Phonemic restorations based on subsequent context. Perception & Psychophysics, 16(1), 150–156.

Wingfield, A., Alexander, A. H., & Cavigelli, S. (1994). Does memory constrain utilization of top-down information in spoken word recognition? Evidence from normal aging. Language and Speech, 37(3), 221–235.PubMed

Zekveld, A. A., Rudner, M., Johnsrude, I. S., Festen, J. M., Van Beek, J. H., & Rönnberg, J. (2011). The influence of semantically related and unrelated text cues on the intelligibility of sentences in noise. Ear and Hearing, 32(6), e16–e25.PubMed

Zekveld, A. A., Rudner, M., Johnsrude, I. S., Heslenfeld, D. J., & Rönnberg, J. (2012). Behavioral and fMRI evidence that cognitive ability modulates the effect of semantic context on speech intelligibility. Brain and Language, 122(2), 103–113.PubMed

Zimmermann, J. F., Moscovitch, M., & Alain, C. (2016). Attending to auditory memory. Brain Research, 1640, 208–221.PubMed

Titel: Effects of temporal order and intentionality on reflective attention to words in noise
Auteurs: T. M. Vanessa Chan
Bradley R. Buchsbaum
Claude Alain
Publicatiedatum: 08-03-2021
Uitgeverij: Springer Berlin Heidelberg
Gepubliceerd in: Psychological Research / Uitgave 2/2022
Print ISSN: 0340-0727
Elektronisch ISSN: 1430-2772
DOI: https://doi.org/10.1007/s00426-021-01494-6

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