This project aims to design an embedded system to enhance human speech in noisy industrial environments to boost automatic speech recognition (ASR) performances. Speech recognition is desirable for workers to log information in the system without using their hands, which improves productivity significantly. In this project, the system will learn to remove the ambient noise using machine learning and an array of microphones to boost the speech recognition performance.