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Course details
Speech Processing (Hons) (LASC10061)
Subject Area
Language Sciences
Pre-requisites
Visiting students should have at least 3 Linguistics/Language Sciences courses at grade B or above (or be predicted to obtain this). We will only consider University/College level courses.
Credits
20
Course level
SCQF Level 10 (Year 3 Undergraduate)
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, Bayestheorem, 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).
Timetable
View the timetable and assessment information for this course
Course delivered by
College of Humanities and Social Science
School of Philosophy, Psychology and Language Sciences
This article was published on Feb 24, 2012