AFA-Net: A Differential Attention Approach for Auditory Attention Detection

arXiv:2609.31402 · cs.SD, cs.LG, eess.SP · Submitted 2026-09-25 · Read on arXiv

cs.SD, cs.LG, eess.SP

Submitted: 2026-09-25

Updated: 2026-09-25

Terminology

• Accuracy — 13× in this paper · explained in 1 episode
• Auditory Attention Detection — 9× in this paper
• Ablation — 7× in this paper · explained in 1 episode
• Ablation study — 4× in this paper · explained in 1 episode
• Transformer — 4× in this paper · explained in 2 episodes
• alpha — 4× in this paper · explained in 1 episode
• Attention Mechanism — 3× in this paper · explained in 2 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Feature Extraction — 3× in this paper · explained in 2 episodes
• Focus Attention Module — 3× in this paper
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes

Sources

• MHANet: Multi-scale Hybrid Attention Network for Auditory Attention Detection

Related papers

• Few-Shot Open-Set Audio Classification via Transductive Prototype Refinement and Class Logit Enhancement
• Spectral Masking and Interpolation Attack (SMIA): A Black-box Adversarial Attack against Voice Authentication and Anti-Spoofing Systems
• AVMeme Exam: A Multimodal Multilingual Multicultural Benchmark for LLMs' Contextual and Cultural Knowledge and Thinking
• SoundWeaver: Compositional Warm-Starting for Text-to-Audio Diffusion Serving
• WASIL: In-the-Wild Arabic Spoken Interactions with LLMs
• Efficient Audiovisual Speech Processing via MUTUD: Multimodal Training and Unimodal Deployment