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FEKT-LASSAcad. year: 2010/2011
Phonetic description of the Czech language, signal windowing, preemphasis, pitch estimation. Representations of a speech in the time and frequency domains, short-time analysis of speech signal, selection of suitable features, word endpoints detection, linear and nonlinear time warping, isolated word recognition system, connected word recognition, suitable speech units and features for speaker recognition, hidden Markov models, speaker identification, speaker verification, speech synthesis, vocoders, some typical applications of speech and speaker recognition.
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Specification of controlled education, way of implementation and compensation for absences
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Classification of course in study plans
branch ML-EST , 1 year of study, summer semester, elective specialised
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Exercise in computer lab