Voice Based Deep Learning Enabled User Interface Design For Smart Home Application System

In recent years, smart home technologies such as Samsung SmartThings, Amazon Alexa, and Apple's Siri have received a lot of attention for making people's lives easier and more comfortable. It has provided consumers with a more efficient and dependable approach to control their home environment. Smart home systems have improved managing all of our home gadgets from one place, optimizing home security and surveillance, boosted energy efficiency, and much more by leveraging modern technology, smart sensors, and processors. An important component of a smart house is how to maximize voice recognition in far field situations while reducing energy usage. This is an open topic for both business and academia. This research shows how deep learning can be used to improve the efficiency and reliability of voice-activated smart home systems. The importance of new technology for smart home applications, voice-based deep learning enabled user interface design, comparative analysis, and some future work will be discussed.