This course will introduce techniques used in speech technologies, mainly focusing on automatic speech recognition (ASR). Speech recognition is one of the oldest and most complex sequence prediction tasks receiving significant research and commercial attention, and also a good example of the effectiveness of combining linguistic knowledge and speech science with statistics and machine learning. Course topics will include historical and phonetic background, acoustic features, dynamic time warping, hidden Markov models, statistical language models, and current research in ASR. Depending on student background and interests, the course may include practical homework exercises using existing software tools.