Acoustic Event and Scene Classification: A Review

dc.contributor.authorMulimani, M.
dc.contributor.authorVenkatesh, S.
dc.contributor.authorKoolagudi, S.G.
dc.date.accessioned2026-02-05T13:17:14Z
dc.date.issued2025
dc.description.abstractThis paper gives deeper insight into the range of recent approaches developed and reported in the literature specifically for monophonic acoustic event classification (AEC), polyphonic acoustic event detection (AED) and acoustic scene classification (ASC) concerning datasets, features and classifiers. A list of datasets used for monophonic AEC, polyphonic AED and ASC is introduced. The features and classifiers used for monophonic AEC, polyphonic AED and ASC are reviewed with their success and failures. A list of the research issues is derived from the critical review of the available literature at the end of the paper. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2025.
dc.identifier.citationSN Computer Science, 2025, Vol.6, 1, p. -
dc.identifier.issn2662995X
dc.identifier.urihttps://doi.org/10.1007/s42979-024-03592-9
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/28218
dc.publisherSpringer
dc.subjectAcoustic scene classification
dc.subjectClassifiers
dc.subjectFused features
dc.subjectMonophonic acoustic even classification
dc.subjectPolyphonic acoustic event detection
dc.titleAcoustic Event and Scene Classification: A Review

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