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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2011/2012
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DRPS : Course Catalogue : School of Philosophy, Psychology and Language Sciences : Language Sciences

Postgraduate Course: Speech Processing (LASC11065)

Course Outline
SchoolSchool of Philosophy, Psychology and Language Sciences CollegeCollege of Humanities and Social Science
Course typeStandard AvailabilityAvailable to all students
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) Credits10
Home subject areaLanguage Sciences Other subject areaNone
Course website None Taught in Gaelic?No
Course descriptionSyllabus: 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 (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Additional Costs None
Information for Visiting Students
Pre-requisitesNone
Displayed in Visiting Students Prospectus?No
Course Delivery Information
Delivery period: 2011/12 Semester 1, Available to all students (SV1) WebCT enabled:  Yes Quota:  None
Location Activity Description Weeks Monday Tuesday Wednesday Thursday Friday
CentralLecture1.17 Dugald Stewart Building1-11 10:00 - 10:50
CentralLaboratory3.02 Appleton Tower1-11 10:00 - 10:50
CentralLaboratory3.02 Appleton Tower1-11 11:10 - 12:00
First Class Week 1, Monday, 10:00 - 10:50, Zone: Central. 3.02 Appleton Tower
Additional information **Please note that students only need to attend ONE of the TWO lab sessions. You will be assigned a lab session by the lecturer. ALL students should come to the first class.
Exam Information
Exam Diet Paper Name Hours:Minutes
Main Exam Diet S1 (December)Speech Processing2:00
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
Special Arrangements
None
Additional Information
Academic description Not entered
Syllabus Not entered
Transferable skills Not entered
Reading list Not entered
Study Abroad Not entered
Study Pattern Not entered
KeywordsNot entered
Contacts
Course organiserProf Simon King
Tel: (0131 6)51 1725
Email: Simon.King@ed.ac.uk
Course secretaryMiss Toni Noble
Tel: (0131 6)51 3188
Email: Toni.noble@ed.ac.uk
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© Copyright 2011 The University of Edinburgh - 16 January 2012 6:19 am