Mulimani, M.Venkatesh, S.Koolagudi, S.G.2026-02-052025SN Computer Science, 2025, Vol.6, 1, p. -2662995Xhttps://doi.org/10.1007/s42979-024-03592-9https://idr.nitk.ac.in/handle/123456789/28218This 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.Acoustic scene classificationClassifiersFused featuresMonophonic acoustic even classificationPolyphonic acoustic event detection