Acoustic Event and Scene Classification: A Review

No Thumbnail Available

Date

2025

Journal Title

Journal ISSN

Volume Title

Publisher

Springer

Abstract

This 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.

Description

Keywords

Acoustic scene classification, Classifiers, Fused features, Monophonic acoustic even classification, Polyphonic acoustic event detection

Citation

SN Computer Science, 2025, Vol.6, 1, p. -

Collections

Endorsement

Review

Supplemented By

Referenced By