Audio and Speech Signal Processing

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Course Venue:

Lecture Room 105

College of Engineering, Design, Art and Technology

Course Schedule

2 PM: 
4 PM
8 AM: 
10 AM
Course Code: 
Course Credit Units: 
Semester 2
Year of Study: 
Year 4
Undergraduate or Graduate Level: 
Undergraduate Level
Course Discipline: 
Course Description & Objectives: 

Speech  processing  has  been  one  of  the  main  application  areas  of  digital  signal processing for several decades now, and as new technologies like voice over IP, automated  call  centers,  voice  browsing  and  biometrics  find  commercial  markets, speech seems set to drive a range of new digital signal processing techniques for some time  to  come.    

Learning Outcomes: 

On completing this course the student should be able to:·        Describe the key aspects of typical speech signals·        Express the speech signal in terms of its time domain and frequency domain representations and the different ways in which it can be modelled;·       Derive expressions for simple features used in speech classification applications;·        Explain the operation of example algorithms covered in lectures, and discuss the effects of varying parameter values within these;·        Synthesize block diagrams for speech applications, explain the purpose of the various blocks, and describe in detail algorithms that could be used to implement them;·        Implement selected components of speech processing systems, including speech recognition and speaker recognition, using a modeling software package·        Deduce the behavior of previously unseen speech processing systems and hypothesize about their merits.   

Audio and Speech Signal Processing
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