Course detail

Speech Processing Systems

FIT-SREAcad. year: 2010/2011

Not applicable.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

prof. Dr. Ing. Jan Černocký

Department

Department of Computer Graphics and Multimedia (UPGM)

Learning outcomes of the course unit

Not applicable.

Prerequisites

Not applicable.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

Not applicable.

Specification of controlled education, way of implementation and compensation for absences

Not applicable.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

  • Gussenhoven, J. and Jacobs, H.: Understanding Phonology, Oxford University Press, 1998, ISBN: 0-340-69218-9
  • Psutka, J.: Komunikace s počítačem mluvenou řečí. Academia, Praha, 1995, ISBN 80-200-0203-0.
  • Gold, B., Morgan, N.: Speech and audio signal processing, John Wiley & Sons, 2000, ISBN 0-471-35154-7.
  • Moore, B.C.J.: An introduction to the psychology of hearing, Academic Press, 1989, ISBN 0-12-505627-3.
  • Jelinek, F.: Statistical Methods for Speech Recognition, MIT Press, 1998, ISBN 0-262-10066-5.
  • Manning, C. and Schütze, H.: Foundations of Statistical Natural Language Processing, MIT Press. Cambridge, MA: May 1999.

Recommended reading

  • Psutka, J.: Komunikace s počítačem mluvenou řečí. Academia, Praha, 1995, ISBN 80-200-0203-0.
  • Gold, B., Morgan, N.: Speech and audio signal processing, John Wiley & Sons, 2000, ISBN 0-471-35154-7.

Classification of course in study plans

  • Programme IT-MGR-2 Master's

    branch MBI , any year of study, winter semester, elective
    branch MPV , any year of study, winter semester, elective
    branch MSK , any year of study, winter semester, elective
    branch MPS , any year of study, winter semester, elective
    branch MIS , any year of study, winter semester, elective
    branch MBS , any year of study, winter semester, elective
    branch MIN , any year of study, winter semester, compulsory-optional
    branch MMI , any year of study, winter semester, elective
    branch MMM , any year of study, winter semester, elective
    branch MGM , 2. year of study, winter semester, elective

Type of course unit

 

Lecture

39 hours, optionally

Teacher / Lecturer

prof. Dr. Ing. Jan Černocký

Syllabus

  1. Phonetics and phonology - syllable structure, phonological processes and distinctive features.
  2. Statistical pattern classification I. - Bayesian framework, Maximum likelihood learning, Gaussian mixture models. Features for GMM modeling.
  3. Statistical pattern classification II. - Artificial Neural Networks, Support vector machines. Sequence modeling - Hidden Markov models. 
  4. HMM training and adaptation - MLLR, MAP, discriminative training.
  5. HMM recognition - pronunciation dictionaries and networks, language modeling, decoding, lattices.
  6. Phoneme recognition. Keyword spotting and search - LVCSR, acoustic and phonetic lattices. Figure of Merit.
  7. Speaker identification and verification - GMM, SVM. Channel normalization and compensation - feature mapping, eigen-voices and nuissance attributes projection (NAP). Evaluation of speaker verification: DET curves, EER, cost function.
  8. Language identification - acoustic vs. phonotactic, evaluation.
  9. Speech coding - CELP framework - adaptive and stochastic codebooks, GSM standards.
  10. Language modeling 1 - n-gram models, class-based models
  11. Language modeling 2 - language-specific features, factored-language models
  12. Psycholinguistics - word recognition models, word associations
  13. Probabilistic parsing - inside-outside algorithm, dependency parsing

Project

13 hours, optionally

Teacher / Lecturer

prof. Dr. Ing. Jan Černocký