Spatial-temporal self-supervised learning for audio classification

doi:10.1016/j.eswa.2025.130641

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Spatial-temporal self-supervised learning for audio classification

2025-12-15

PRE

DOI：10.1016/j.eswa.2025.130641

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Abstract

En 中文

• Explores multi-level spatial and temporal attention in SSL pretext tasks. • Introduces constrained self-supervised training using cross-domain validation. • Utilises ACAV100M, a recent large-scale unlabeled audio-visual dataset. • Benchmarks downstream performance on emotion and Arabic music classification.

Journal

Expert Systems with Applications

IF:

7.5

Papers:

3.0W

Citations:

10.2W

Organization

King Abdulaziz University

Scholars:

2.0W

Papers: 1.9W

Citations: 3.3W

umm al-qura university

Scholars:

2.8K

Papers: 2.5K

Citations: 0

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