Voice-activated devices leverage natural language processing (NLP) technology to interpret spoken commands and respond accordingly. This technology enables the devices to recognize user speech and convert it into actionable tasks, such as controlling smart home items, playing music, or retrieving information. Additionally, machine learning enhances the accuracy of these devices by allowing them to adapt to individual user preferences over time. Advances in acoustic signal processing also contribute to improving the ability to filter out background noise, resulting in more responsive and effective interactions with users.