EnViTSA: Ensemble of Vision Transformer with SpecAugment for Acoustic Event Classification

Recent successes in deep learning have inspired researchers to apply deep neural networks to Acoustic Event Classification (AEC). While deep learning methods can train effective AEC models, they are susceptible to overfitting due to the models’ high complexity. In this paper, we introduce EnViTSA, a...

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Prif Awduron:	Kian Ming Lim, Chin Poo Lee, Zhi Yang Lee, Ali Alqahtani
Fformat:	Artigo
Iaith:	Inglês
Cyhoeddwyd:	MDPI AG 2023-11-01
Cyfres:	Sensors
Pynciau:	acoustic event classification log mel-spectrograms specaugment ensemble learning vision transformer
Mynediad Ar-lein:	https://www.mdpi.com/1424-8220/23/22/9084
Tagiau:	Ychwanegu Tag Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!