Course details

Modern Methods of Speech Processing

MZD Acad. year 2003/2004 Summer semester

Current academic year

From simple systems to stochastic modelling. Hidden Markov models. Large vocabulary continuous speech recognition. Language models. Speech production, speech perception: time and frequency. Data-driven methods for feature extraction. Speech databases. Excitation in speech coding, CELP. Speaker identification.

Details ...

Guarantor

Černocký Jan, prof. Dr. Ing. (DCGM)

Language of instruction

Czech, English

Completion

Examination

Time span

  • 39 hrs lectures

Department

Faculty of Information Technology (FIT)

Subject specific learning outcomes and competences

This course allows students to implement simple speech processinga pplications, as for example voice command of a process. However, first of all it enables them to join the development of complex systems for speech recognition and coding systems, using modern methods, in academic and industrial environments.

Study literature

  • Moore, B.C.J., : An introduction to the psychology of hearing, Academic Press, 1989
  • Jelinek, F.: Statistical Methods for Speech Recognition, MIT Press, 1998
  • Fukunaga, K.: Introduction to Statistical Pattern Recognition, Academic Press, 1990
  • Vapnik, V. N.: Statistical Learning Theory, Wiley-Interscience, 1998
  • Dutoit, T.: An Introduction to Text-To-Speech Synthesis, Kluwer Academic Publishers, 1997

Fundamental literature

  • Psutka, J.: Komunikace s s počítačem mluvenou řečí. Academia, Praha, 1995
  • Gold, B., Morgan, N.: Speech and audio signal processing, John Wiley & Sons, 2000
  • Texty z http://www.fit.vutbr.cz/~cernocky/speech/
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