Courses / Module

On successful completion of the module, students should be able to:

• Illustrate the mathematical theory underlying each signal processing approach for speech and audio
• Design, implement and critically evaluate signals processing algorithms for speech and audio
• Integrate individual algorithmic elements to create an audio processing system to extract particular features from speech or audio
• Describe key digital filter structures used for the processing of audio signals

Delivery methods	Hours
Lectures	24
Labs / Practicals	0
Tutorials	0
Planned learning activities	0
Independent student activities	101
Total	125

• Module Graded (numeric value) or Ungraded (Pass/Not Passed): Graded
• Continuous Assessment detail(s): Continuous Assessment up to 50%.

Assessment type	Options	Weighting	Duration
Continuous Assessment		50%
University scheduled written examination		50%	120 minutes
Other		0%
Total		100%	120 minutes

• Pass standard: 40%
• Could the result of this module be capped? No

• Are supplemental/resit registrations permitted? Yes
• University scheduled written examination (Autumn): 120 minutes
• Is Supplemental Continuous Assessment registration permitted? No
• Is Supplemental Continuous Assessment capped? No

Digital Processing of Speech Signals - Lawrence R. Rabiner and Ronald W. Schafer
Discrete-Time Speech Signal Processing: Principles and Practice - Thomas F. Quatieri
Text-to-Speech Synthesis - Paul Taylor
Speech and Language Processing - Daniel Jurafsky and James H. Martin
Audio Effects: Theory, Implementation and Application - Joshua D. Reiss and Andrew McPherson

For a full timetable search, go to NUIM Timetable. Venue locations can be found here.