"What's That Sound?": A Versatile, Robust, and Lightweight Convolutional Transformer for Environment Sound Recognition

arXiv:2609.27762 · cs.SD, cs.LG · Submitted 2026-08-16 · Read on arXiv

cs.SD, cs.LG

Submitted: 2026-08-16

Updated: 2026-08-16

Code: https://github.com/TheClassicTechno/audioclassmodel

Terminology

• Transformer — 39× in this paper · explained in 2 episodes
• Accuracy — 19× in this paper · explained in 1 episode
• Transformer Architecture — 4× in this paper · explained in 2 episodes
• Convolutional Neural Networks (CNNs) — 2× in this paper · explained in 2 episodes
• Data Augmentation — 2× in this paper · explained in 7 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Transfer Learning — 2× in this paper · explained in 10 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Ablation Studies — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Randomized Audiomentational Layered Convolutional Transformers — 1× in this paper
• Transformer Models — 1× in this paper · explained in 2 episodes

Sources

• AudioCLIP: Extending CLIP to Image, Text and Audio
• Rethinking CNN Models for Audio Classification
• How Does Learning Rate Decay Help Modern Neural Networks?

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