Researchers From Columbia University Propose ‘Neural Voice Camouflage’: An Adversarial Attack-Based Approach That Disrupts Automatic Speech Recognition Systems In Real-Time

Have you ever had the uneasy sense that someone is listening in on your every word? This is because it may be true. Companies have been employing “bossware” to listen to their employees while they are near their computers since the dawn of time. Several “spyware” apps are available that can record phone calls. Automatic Speech Recognition models like Amazon’s Echo and Apple’s Siri may record your daily conversation based on the voice commands. To address this critical problem, a …

automatic speech recognition columbia university machinelearningnews real-time researchers speech speech recognition systems time university voice