Nature Communications, Published online: 06 May 2026; doi:10.1038/s41467-026-72740-x Traditional edge audio recognition struggles with high overhead and latency owing to separate denoising and recognition modules. Wang et al. propose a memristor-based neuromorphic system integrating on-chip denoising and recognition, achieving full recognition accuracy with low energy consumption and strong noise robustness.