Listening Effort: How the Cognitive Consequences of Acoustic Challenge Are Reflected in Brain and Behavior
Open accessAbstract
Everyday conversation frequently includes challenges to the clarity of the acoustic speech signal, including hearing impairment, background noise, and foreign accents. Although an obvious problem is the increased risk of making word identification errors, extracting meaning from a degraded acoustic signal is also cognitively demanding, which contributes to increased listening effort. The concepts of cognitive demand and listening effort are critical in understanding the challenges listeners face in comprehension, which are not fully predicted by audiometric measures. In this article, the authors review converging behavioral, pupillometric, and neuroimaging evidence that understanding acoustically degraded speech requires additional cognitive support and that this cognitive load can interfere with other operations such as language processing and memory for what has been heard. Behaviorally, acoustic challenge is associated with increased errors in speech understanding, poorer performance on concurrent secondary tasks, more difficulty processing linguistically complex sentences, and reduced memory for verbal material. Measures of pupil dilation support the challenge associated with processing a degraded acoustic signal, indirectly reflecting an increase in neural activity. Finally, functional brain imaging reveals that the neural resources required to understand degraded speech extend beyond traditional perisylvian language networks, most commonly including regions of prefrontal cortex, premotor cortex, and the cingulo-opercular network. Far from being exclusively an auditory problem, acoustic degradation presents listeners with a systems-level challenge that requires the allocation of executive cognitive resources. An important point is that a number of dissociable processes can be engaged to understand degraded speech, including verbal working memory and attention-based performance monitoring. The specific resources required likely differ as a function of the acoustic, linguistic, and cognitive demands of the task, as well as individual differences in listeners’ abilities. A greater appreciation of cognitive contributions to processing degraded speech is critical in understanding individual differences in comprehension ability, variability in the efficacy of assistive devices, and guiding rehabilitation approaches to reducing listening effort and facilitating communication.
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There is behavioral, pupillometric, and neuroimaging evidence to suggest that cognitive and listener effort increase when listeners are faced with a condition of background noise or a degraded speech signal.
“There is a plethora of behavioral (Heinrich & Schneider, 2011; Murphy et al., 2000; Pichora-Fuller et al., 1995), pupillometric (Kramer et al., 1997; Zekveld & Kramer, 2014; Zekveld et al., 2010), and neuroimaging (Davis & Johnsrude, 2003) evidence to suggest that cognitive and listener effort increase when listeners are faced with a condition of background noise or a degraded speech signal (Peell”
From Perception of Physical Demand, Mental Demand, and Performance: A Comparison of Two Voice Interventions for Parkinson's Disease (2022) · cites this paper as Peelle, 2018
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“A recent consensus paper proposed the Framework for Understanding Effortful Listening, comprehensively addressing many of the complexities that go into concepts of spoken communication and listening effort (Pichora-Fuller et al. 2016 and the accompanying special issue).”
BackgroundInfluentialHow young and old adults listen to and remember speech in noise.
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“Even when speech is understood, words or syllables that are acoustically degraded are more difficult to remember (Heinrich et al. 2008; Surprenant 1999), an effect exacerbated in older adults (Heinrich & Schneider 2011; Murphy et al. 2000; Pichora-Fuller et al. 1995).”
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“Everyday listening frequently occurs in the context of acoustic challenges that degrade the auditory signal (Mattys et al. 2012).”
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Comprehension of acoustically degraded speech in Alzheimer’s disease and primary progressive aphasia
Jiang, J., Johnson, J. C. S., Requena-Komuro, M.-C., Benhamou, E., Sivasathiaseelan, H., Chokesuwattanaskul, A., Nelson, A., Nortley, R., Weil, R. S., Volkmer, A., et al. (2023) · Brain · doi:10.1093/brain/awad163 · Cited by 28 · see citing works
Richardson, K., Huber, J. E., Kiefer, B., & Snyder, S. (2022) · American Journal of Speech-Language Pathology · doi:10.1044/2022_ajslp-22-00026 · Cited by 9 · see citing works
- Authors
- Peelle, J. E.
- Affiliations
- Washington University in St. Louis (US)
- Corresponding author
- Peelle, Jonathan E.
- ORCID
- Peelle, Jonathan E.
- Venue
- Ear & Hearing
- Published
- 2018-03
- Volume
- 39
- Issue
- 2
- Pages
- 204-214
- ISSN
- 0196-0202 (ISSN-L)
- PMC
- PMC5821557
- OpenAlex
- W2757633771
- Cited by
- 672
- References
- 11
- Citations by year
- 2026: 85 · 2025: 96 · 2024: 94 · 2023: 85 · 2022: 89 · 2021: 91 · 2020: 68 · 2019: 44 · 2018: 20
- FWCI
- 4.04
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Ear and Hearing (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- National Institute on Aging (R01AG038490)
- National Institute on Deafness and Other Communication Disorders (R01DC014281, R21DC015884)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Life Sciences › Neuroscience › Cognitive Neuroscience › Hearing Loss and Rehabilitation
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Phonetics and Phonology Research
- Keywords
- listening effort, cognitive demand, pupillometry, functional neuroimaging, prefrontal cortex, cingulo-opercular network, executive function, verbal working memory, performance monitoring, sentence comprehension, hearing loss, background noise, foreign accent, assistive listening devices, rehabilitation
- MeSH terms
- Cognition, Humans, Memory, Short-Term, Speech Perception, Neuroimaging
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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