The spoken language processing course offers a comprehensive understanding of the various aspects of speech processing. It covers modules such as speech production and perception, phonetics, speech signal processing, pattern recognition, deep learning for sequence processing, speech synthesis, speech recognition, and dialogue systems. The course begins with an introduction to speech processing and then delves into the more advanced modules. The modules cover the basics of speech signals, their characteristics, how they can be processed, the physiological mechanisms involved in speech production, and how humans perceive speech. The course also covers machine learning and deep learning techniques, speech synthesis, speech recognition, and the design and implementation of dialogue systems. This course equips students with the knowledge and skills required to develop cutting-edge speech-processing systems and applications.