Understanding the surrounding environment and ongoing events through acoustic cues, or the so-called "sound intelligence," is a critical piece of the Artificial Intelligence (AI) puzzle. Human is able to recognize not only the sounds of speech utterance or musical piece, but also animal sounds, natural sounds and common everyday environmental sounds. With sound intelligence, an AI can do much better in applications such as smart surveillance, smart city, smart car, and smart factory. This project is about building such machine learning models for sound event recognition. In addition to accuracy, our model is noise-robustness, and can be deployed on edge devices.