Hung-yi Lee is an assistant professor of the Department of Electrical Engineering, National Taiwan University, with a joint appointment at the Department of Computer Science & Information Engineering. He was the keynote speaker of a deep learning workshop held by Academia Sinica and the distinguished lecturer of the International Congress on Big Data Taipei Satellite Session. He gave a six-hour tutorial, "Understanding Deep Learning in One Day," three times. He is developing a series of deep learning techniques that let machines understand spoken content. He has the following breakthroughs in 2016: (1) Developing a new task, TOEFL listening comprehension test by machine, and proposing a new deep learning model to tackle the task, (2) Proposing to apply deep reinforcement learning on spoken content retrieval, and (3) Proposing a new deep learning framework, Audio Word2Vec, to discovery word patterns from audio signals without any supervision.