Listening back in time: Does attention to memory facilitate word-in-noise identification?
The ephemeral nature of spoken words creates a challenge for oral communications where incoming speech sounds must be processed in relation to representations of just-perceived sounds stored in short-term memory. This can be particularly taxing in noisy environments where perception of speech is often impaired or initially incorrect. Usage of prior contextual information (e.g., a semantically related word) has been shown to improve speech in noise identification. In three experiments, we demonstrate a comparable effect of a semantically related cue word placed after an energetically masked target word in improving accuracy of target-word identification. This effect persisted irrespective of cue modality (visual or auditory cue word) and, in the case of cues after the target, lasted even when the cue word was presented up to 4 seconds after the target. The results are framed in the context of an attention to memory model that seeks to explain the cognitive and neural mechanisms behind processing of items in auditory memory.
KeywordsAuditory Attention Retro-cue Speech-in-noise Context
T. M. Vanessa Chan, Department of Psychology, University of Toronto, Toronto, Ontario, Canada, and Rotman Research Institute, Baycrest, Toronto, Ontario, Canada; Claude Alain, Rotman Research Institute, Baycrest, Toronto, Ontario, Canada, Department of Psychology, Institute of Medical Sciences and Faculty of Music, University of Toronto, Toronto, Ontario, Canada.
This research was supported by a National Sciences and Engineering Research Council (NSERC) grant awarded to C.A.
- 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.Google Scholar
- Cabeza, R., Mazuz, Y. S., Stokes, J., Kragel, J. E., Woldorff, M. G., Ciaramelli, E., . . . Moscovitch, M. (2011). Overlapping parietal activity in memory and perception: Evidence for the attention to memory model. Journal of Cognitive Neuroscience, 23(11), 3209–3217.Google Scholar
- Falissard, B. (2012). psy: Various procedures used in psychometry (R Package Version 1.1) [Computer software]. Retrieved from https://CRAN.R-project.org/package=psy
- Gilbert, R. A., Davis, M. H., Gaskell, M. G., & Rodd, J. M. (2018). Listeners and readers generalize their experience with word meanings across modalities. Journal of Experimental Psychology: Learning, Memory, and Cognition. Advance online publication. https://doi.org/10.1037/xlm0000532
- 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.Google Scholar
- Hutchison, K. A. (2007). Attentional control and the relatedness proportion effect in semantic priming. Journal of Experimental Psychology: Learning, Memory, and Cognition, 33(4), 645.Google Scholar
- Johnson, M. K., Raye, C. L., Mitchell, K. J., Greene, E. J., Cunningham, W. A., & Sanislow, C. A. (2005). Using fMRI to investigate a component process of reflection: Prefrontal correlates of refreshing a just-activated representation. Cognitive, Affective, & Behavioral Neuroscience, 5(3), 339–361.CrossRefGoogle Scholar
- Killion, M. C., Niquette, P. A., Gudmundsen, G. I., Revit, L. J., & Banerjee, S. (2004). Development of a quick speech-in-noise test for measuring signal-to-noise ratio loss in normal-hearing and hearing-impaired listeners. The Journal of the Acoustical Society of America, 116(4), 2395–2405.CrossRefGoogle Scholar
- Lawrence, M. A. (2016). ez: Easy analysis and visualization of factorial experiments (R Package Version 4.4-0) [Computer software]. Retrieved from https://CRAN.R-project.org/package=ez
- McClelland, J. L., & Elman, J. L. (1986). The TRACE model of speech perception. Cognitive Psychology, 18(1), 1–86. doi: 10.1016/0010-0285(86)90015-0Google Scholar
- 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.Google Scholar
- R Core Team. (2017). R: A language and environment for statistical computing [Computer software]. Vienna, Austria: R Foundation for Statistical Computing.Google Scholar
- Rönnberg, J., Lunner, T., Zekveld, A., Sörqvist, P., Danielsson, H., Lyxell, B., . . . Rudner, M. (2013). The ease of language understanding (ELU) model: Theoretical, empirical, and clinical advances. Frontiers in Systems Neuroscience, 7(31). https://doi.org/10.3389/fnsys.2013.00031
- Wechsler, D. (1997). WMS-III: Wechsler memory scale administration and scoring manual. San Antonio, TX: Psychological Corporation.Google Scholar
- Wilson, R. H. (2003). Development of a speech-in-multitalker-babble paradigm to assess word-recognition performance. Journal of the American Academy of Audiology, 14(9), 453–470.Google Scholar
- Zimmermann, J. F., Moscovitch, M., & Alain, C. (2017). Long-term memory biases auditory spatial attention. Journal of Experimental Psychology: Learning, Memory, and Cognition, 43(10), 1602.Google Scholar