Does per-frame early exit pay? A compute-matched study of dynamic depth for on-device speech enhancement

arXiv:2609.29867 · eess.AS, cs.LG, cs.SD · Submitted 2026-09-24 · Read on arXiv

eess.AS, cs.LG, cs.SD

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Quantization — 4× in this paper · explained in 12 episodes
• Regularization — 4× in this paper · explained in 3 episodes
• Core — 3× in this paper · explained in 2 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Edge AI — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Pruning — 2× in this paper · explained in 4 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Scaffolding — 1× in this paper · explained in 3 episodes

Sources

• Dynamic Slimmable Networks for Efficient Speech Separation
• A White Paper on Neural Network Quantization

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