Undergraduate Course: Speech Processing (Hons) (LASC10061)
Course Outline
| School | School of Philosophy, Psychology and Language Sciences |
College | College of Arts, Humanities and Social Sciences |
| Credit level (Normal year taken) | SCQF Level 10 (Year 3 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| Summary | A foundation course in speech processing for students of linguistics, informatics, and related subjects. |
| 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), 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).
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Information for Visiting Students
| Pre-requisites | Visiting students should have completed at least 3 Linguistics/Language Sciences courses at grade B or above . We will only consider University/College level courses. |
| High Demand Course? |
Yes |
Course Delivery Information
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| Academic year 2019/20, Available to all students (SV1)
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Quota: 0 |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
200
(
Lecture Hours 18,
Supervised Practical/Workshop/Studio Hours 9,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
167 )
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| Assessment (Further Info) |
Written Exam
50 %,
Coursework
50 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
Closed book exam (50%)
Two written assignments based on laboratory work (20% and 30%)
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| Feedback |
Not entered |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
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| Main Exam Diet S1 (December) | | 2:00 | |
Learning Outcomes
| 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.
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Contacts
| Course organiser | Prof Simon King
Tel: (0131 6)51 1725
Email: Simon.King@ed.ac.uk |
Course secretary | Ms Lynne Robertson
Tel: (0131 6)50 9870
Email: Lynne.Robertson@ed.ac.uk |
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