Postgraduate Course: Speech Processing (LASC11065)
Course Outline
| School |
School of Philosophy, Psychology and Language Sciences |
College |
College of Humanities and Social Science |
| Course type |
Standard |
Availability |
Available to all students |
| Credit level (Normal year taken) |
SCQF Level 11 (Postgraduate) |
Credits |
10 |
| Home subject area |
Language Sciences |
Other subject area |
None |
| Course website |
None |
|
|
| Course description |
Syllabus: Fundamentals of speech processing (familiarity with waveforms, spectra, spectrograms, resonance, formants, human speech production and perception, perceptually-motivated frequency scales, time vs. frequency representations; conversion between the two, the Fourier transform, source-filter model of speech, hands on experience via xwaves), speech recognition (components of a typical recogniser, parameterisation of the speech signal, dynamic time warping, distance measures, the Hidden Markov Model, the generative model paradigm, simple probability theory, conditional and joint probabilities, Bayes' theorem, Gaussian probability density function, continuous density HMMs, monophone models with Gaussian observation densities, Viterbi algorithm for recognition, training from fully labelled data, Viterbi training, bigram language models), speech synthesis (components of a typical text-to-speech synthesiser, text analysis, phonology, finite-state automata, POS tagging, lexicon, phrasing, accents, F0, learning from data, CART models, waveform generation, concatenative methods - TD-PSOLA and linear prediction, F0 and duration modification). |
Entry Requirements
| Pre-requisites |
|
Co-requisites |
|
| Prohibited Combinations |
|
Other requirements |
None
|
| Additional Costs |
None |
Course Delivery Information
|
| Delivery period: 2010/11 Semester 1, Available to all students (SV1)
|
WebCT enabled: Yes |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| Central | Lecture | 1.17 Dugald Stewart Building | 1-11 | | | | 10:00 - 12:00 | | | Central | Lecture | 3.02 Appleton Tower | 1-11 | 10:00 - 10:50 | | | | |
| First Class |
Week 1, Monday, 10:00 - 10:50, Zone: Central. 3.02 Appleton Tower |
Summary of Intended Learning Outcomes
After taking this module, students should be able to:
- give an overview of the components of state-of-the art speech recognition and speech synthesis systems
- understand the main concepts and what each component does
- describe a simple version of each component
- see what the difficult problems are in recognition and synthesis. They will also: use tools for visualising and manipulating speech waveforms
- experiment with two state-of-the-art speech technology systems
- put experimental methodology into practice
- see how knowledge and skills from different areas come together in an interdisciplinary field |
Assessment Information
60% 2 hour closed book exam
Two 20% written assignments based on laboratory work |
| Please see Visiting Student Prospectus website for Visiting Student Assessment information |
Special Arrangements
| Not entered |
Contacts
| Course organiser |
Dr Simon King
Tel: (0131 6)51 1725
Email: Simon.King@ed.ac.uk |
Course secretary |
Miss Toni Noble
Tel: (0131 6)51 3188
Email: Toni.noble@ed.ac.uk |
|
copyright 2010 The University of Edinburgh -
1 September 2010 6:13 am
|
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