Course details
Modern Methods of Speech Processing
MZD Acad. year 2003/2004 Summer semester
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.
Guarantor
Language of instruction
Completion
Time span
- 39 hrs lectures
Department
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/