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Speech and Language Technology

Semester 1
Syllabus: 

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

Undergrad/Postgrad: 
Undergraduate
Evaluation: 

• Two equally weighted programming projects   (50%)
• Two equally weighted hour-long In-course Tests   (20%)
• One two-hour final written examination    (30%)

ELET2210 – Speech Processing or COMP2802 – Speech Processing
Course Code: 
ELET3211
Credits: 
3 Credits
Level: 
Level 3
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