Noise suppression is a signal-processing technique that filters ambient, background, and non-speech sounds from audio streams in real time during virtual communication sessions. Modern implementations use deep-learning models to distinguish voice from environmental noise such as keyboard clicks, fan hum, and room echo. It is a foundational audio quality feature for distributed teams working from heterogeneous home or office environments.