COM4502 Speech Processing
| Summary |
This module aims to demonstrate why computer speech
processing is an important and difficult problem, to
investigate the representation of speech in the
articulatory, acoustic and auditory domains, and to
illustrate computational approaches to speech parameter
extraction. It examines both the production and perception
of speech, taking a multi-disciplinary approach (drawing on
linguistics, phonetics, psychoacoustics, etc.). It
introduces sufficient digital signal processing (linear
systems theory, Fourier transforms) to motivate speech
parameter extraction techniques (e.g. pitch and formant
tracking). Students should be aware that there are limited places available on this course. |
| Session |
Autumn 2023/24 |
| Credits |
15 |
| Assessment |
This module is assessed by a programming assignment and a formal exam |
| Lecturer(s) |
Dr Stefan Goetze |
| Resources |
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| Aims |
- to describe speech production and perception in
humans;
- to teach computational techniques for analysing
speech signals.
|
| Learning Outcomes |
By the end of the unit, a student will have acquired:
- Discuss the basic mechanisms of speech
production and perception.
- Analyse acoustic-phonetic descriptions of the
speech signal.
- Apply signal analysis techniques to speech data.
- Apply discrete-time signal processing.
- Implement linear predictive coding algorithms.
|
| Content |
Half of the course is devoted to the nature of speech and
half to speech signal processing. Topics covered include:
speaking, hearing, sounds and symbols, articulatory and
acoustic phonetics, phonology, prosody, speech spectra,
sampling, fourier transform, linear filters, linear
prediction cepstral analysis. |
Restrictions
|
Not permitted for students who have already taken COM3502. |
| Teaching Method |
Lectures & scheduled access to a Laboratory for
practical work |
| Feedback |
Feedback will be provided by:
- Verbal interaction during lectures and labs.
- Comments attached to the marks given to the formative and summative
assignments.
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