Introduction to Speech Technology; Speech Signal Processing; Probability Theory for Speech Processing; Hidden Markov Models and Deep Neural Networks for Speech Processing; Acoustic modelling; Language modelling Approaches to Decoding; Model Adaptation; Speech Recognition Examples; Speaker identification technologies; Speech Synthesis
• Two equally weighted programming projects (50%)
• Two equally weighted hour-long In-course Tests (20%)
• One two-hour final written examination (30%)