AudioFuse: Unified Spectral-Temporal Learning via a Hybrid ViT-1D CNN Architecture for Robust Phonocardiogram Classification

arXiv:2509.23454 · eess.AS, cs.AI, cs.LG, cs.SD, eess.SP · Submitted 2025-09-27 · Read on arXiv

eess.AS, cs.AI, cs.LG, cs.SD, eess.SP

Submitted: 2025-09-27

Updated: 2026-09-05

Comments: Published in the Proceedings of 2026 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) main conference. Find the published version at: https://doi.org/10.1109/ICASSP55912.2026.11464477

Journal ref: M. S. B. Siddiqui and U. Saha, "AudioFuse: Unified Spectral-Temporal Learning Via A Hybrid VIT-1D CNN Architecture for Phonocardiogram Classification," ICASSP 2026, Barcelona, Spain, 2026, pp. 5711-5715

DOI: 10.1109/ICASSP55912.2026.11464477

Code: https://github.com/Saiful185/AudioFuse

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• AUC — 11× in this paper · explained in 2 episodes
• Transformer — 11× in this paper · explained in 2 episodes
• 1D CNN — 6× in this paper · explained in 2 episodes
• Domain Shift — 6× in this paper · explained in 4 episodes
• Generalization — 5× in this paper · explained in 13 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Late Fusion — 3× in this paper · explained in 2 episodes
• Vision Transformer (ViT) — 3× in this paper · explained in 2 episodes
• Attention Mechanism — 2× in this paper · explained in 3 episodes
• Computer Vision and Pattern Recognition — 2× in this paper
• Embeddings — 2× in this paper · explained in 2 episodes
• Feature Extraction — 2× in this paper · explained in 2 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Short-Time Fourier Transform — 2× in this paper
• Ablation — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Cross-Attention Mechanism — 1× in this paper · explained in 2 episodes
• Diagnostic Tools — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes

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