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.
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.
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 CMP4205 Audio and Speech Signal Processing.docx | 64.06 KB |