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dc.contributor.authorTraer, James
dc.contributor.authorNorman-Haignere, Sam V
dc.contributor.authorMcDermott, Josh H
dc.date.accessioned2021-12-01T18:39:39Z
dc.date.available2021-12-01T18:39:39Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/138284
dc.description.abstractSound is caused by physical events in the world. Do humans infer these causes when recognizing sound sources? We tested whether the recognition of common environmental sounds depends on the inference of a basic physical variable - the source intensity (i.e., the power that produces a sound). A source's intensity can be inferred from the intensity it produces at the ear and its distance, which is normally conveyed by reverberation. Listeners could thus use intensity at the ear and reverberation to constrain recognition by inferring the underlying source intensity. Alternatively, listeners might separate these acoustic cues from their representation of a sound's identity in the interest of invariant recognition. We compared these two hypotheses by measuring recognition accuracy for sounds with typically low or high source intensity (e.g., pepper grinders vs. trucks) that were presented across a range of intensities at the ear or with reverberation cues to distance. The recognition of low-intensity sources (e.g., pepper grinders) was impaired by high presentation intensities or reverberation that conveyed distance, either of which imply high source intensity. Neither effect occurred for high-intensity sources. The results suggest that listeners implicitly use the intensity at the ear along with distance cues to infer a source's power and constrain its identity. The recognition of real-world sounds thus appears to depend upon the inference of their physical generative parameters, even generative parameters whose cues might otherwise be separated from the representation of a sound's identity.en_US
dc.language.isoen
dc.publisherElsevier BVen_US
dc.relation.isversionof10.1016/J.COGNITION.2021.104627en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceOther repositoryen_US
dc.titleCausal inference in environmental sound recognitionen_US
dc.typeArticleen_US
dc.identifier.citationTraer, James, Norman-Haignere, Sam V and McDermott, Josh H. 2021. "Causal inference in environmental sound recognition." Cognition, 214.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciences
dc.contributor.departmentCenter for Brains, Minds, and Machines
dc.contributor.departmentMcGovern Institute for Brain Research at MIT
dc.relation.journalCognitionen_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2021-12-01T18:36:46Z
dspace.orderedauthorsTraer, J; Norman-Haignere, SV; McDermott, JHen_US
dspace.date.submission2021-12-01T18:36:49Z
mit.journal.volume214en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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