Krisp is a commercial deep-learning noise-suppression SDK widely embedded in meeting and contact-centre applications to strip background noise from both sides of a call. Its neural models are heavier and generally more capable than lightweight open-source options like RNNoise, removing complex, non-stationary noise — typing, dogs, cafe chatter, other voices — while keeping the target speaker clear, and newer versions also tackle echo and room reverberation. It runs on-device for privacy and low latency. Krisp is representative of a wave of AI audio-cleanup products that became standard in remote work; the engineering question when adopting one is the balance of quality, CPU cost, and the risk of over-processing artefacts.
