Object and setting identification in natural auditory scenesa).
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| Title: | Object and setting identification in natural auditory scenesa). |
|---|---|
| Authors: | McMullin, Margaret A.1 (AUTHOR) margaretmcmullin@ufl.edu, Higgins, Nathan C.2 (AUTHOR), Kumar, Rohit3 (AUTHOR), Elhilali, Mounya3 (AUTHOR), Snyder, Joel S.4 (AUTHOR) joel.snyder@unlv.edu |
| Source: | Journal of the Acoustical Society of America. May2026, Vol. 159 Issue 5, p4722-4735. 14p. |
| Subjects: | Auditory perception, Auditory scene analysis, Object recognition algorithms, Cognitive psychology |
| Abstract: | Auditory scene perception allows listeners to identify both the setting and the objects within a scene, supporting decision-making and situational awareness. While visual scene and object recognition are well-studied, less is known about how listeners identify settings (e.g., forest) and objects (e.g., birds) in complex auditory environments. This study examined how scene duration influences listeners' ability to identify settings (e.g., café) and objects (e.g., music, talking, espresso machines) in natural auditory scenes. Participants listened to scenes of varying durations (1, 2, and 4 s) and reported the setting and objects present in each scene. Object identification was more accurate than setting identification across durations, but performance on both tasks benefited from increased durations. Several low- and mid-level acoustic features significantly predicted performance, although these models explained relatively little variance overall. These findings suggest that while acoustic structure contributes to performance, differences between object and setting identification likely reflect interacting perceptual and cognitive processes. Setting identification may depend more on integrating information across multiple sound sources and global scene properties (e.g., openness or naturalness), whereas object identification may rely more on segregation and recognition of individual sound sources and their features. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of the Acoustical Society of America is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 194178312 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Object and setting identification in natural auditory scenesa). – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22McMullin%2C+Margaret+A%2E%22">McMullin, Margaret A.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> margaretmcmullin@ufl.edu</i><br /><searchLink fieldCode="AR" term="%22Higgins%2C+Nathan+C%2E%22">Higgins, Nathan C.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kumar%2C+Rohit%22">Kumar, Rohit</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Elhilali%2C+Mounya%22">Elhilali, Mounya</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Snyder%2C+Joel+S%2E%22">Snyder, Joel S.</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> joel.snyder@unlv.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+the+Acoustical+Society+of+America%22">Journal of the Acoustical Society of America</searchLink>. May2026, Vol. 159 Issue 5, p4722-4735. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Auditory+perception%22">Auditory perception</searchLink><br /><searchLink fieldCode="DE" term="%22Auditory+scene+analysis%22">Auditory scene analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Object+recognition+algorithms%22">Object recognition algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+psychology%22">Cognitive psychology</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Auditory scene perception allows listeners to identify both the setting and the objects within a scene, supporting decision-making and situational awareness. While visual scene and object recognition are well-studied, less is known about how listeners identify settings (e.g., forest) and objects (e.g., birds) in complex auditory environments. This study examined how scene duration influences listeners' ability to identify settings (e.g., café) and objects (e.g., music, talking, espresso machines) in natural auditory scenes. Participants listened to scenes of varying durations (1, 2, and 4 s) and reported the setting and objects present in each scene. Object identification was more accurate than setting identification across durations, but performance on both tasks benefited from increased durations. Several low- and mid-level acoustic features significantly predicted performance, although these models explained relatively little variance overall. These findings suggest that while acoustic structure contributes to performance, differences between object and setting identification likely reflect interacting perceptual and cognitive processes. Setting identification may depend more on integrating information across multiple sound sources and global scene properties (e.g., openness or naturalness), whereas object identification may rely more on segregation and recognition of individual sound sources and their features. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of the Acoustical Society of America is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1121/10.0043922 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 4722 Subjects: – SubjectFull: Auditory perception Type: general – SubjectFull: Auditory scene analysis Type: general – SubjectFull: Object recognition algorithms Type: general – SubjectFull: Cognitive psychology Type: general Titles: – TitleFull: Object and setting identification in natural auditory scenesa). Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: McMullin, Margaret A. – PersonEntity: Name: NameFull: Higgins, Nathan C. – PersonEntity: Name: NameFull: Kumar, Rohit – PersonEntity: Name: NameFull: Elhilali, Mounya – PersonEntity: Name: NameFull: Snyder, Joel S. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00014966 Numbering: – Type: volume Value: 159 – Type: issue Value: 5 Titles: – TitleFull: Journal of the Acoustical Society of America Type: main |
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