Course details

Speech Signal Processing

ZRE Acad. year 2012/2013 Summer semester 5 credits

Current academic year

Applications of speech processing, digital processing of speech signals, production and perception of speech, introduction to phonetics, pre-processing and basic parameters of speech, linear-predictive model, cepstrum, fundamental frequency estimation, coding - time domain and vocoders, recognition - DTW and HMM, synthesis. Software and libraries for speech processing.

Guarantor

Language of instruction

Czech

Completion

Examination (written)

Time span

26 hrs lectures, 2 hrs exercises, 12 hrs pc labs, 12 hrs projects

Assessment points

51 exam, 14 half-term test, 6 labs, 29 projects

Department

Lecturer

Subject specific learning outcomes and competences

The students will get familiar with basic characteristics of speech signal in relation to production and hearing of speech by humans. They will understand basic algorithms of speech analysis common to many applications. They will be given an overview of applications (recognition, synthesis, coding) and be informed about practical aspects of speech algorithms implementation. The students will be able to design a simple system for speech processing (speech activity detector, recognizer of limited number of isolated words), including its implementation into application programs.

Learning objectives

To provide students with the knowledge of basic characteristics of speech signal in relation to production and hearing of speech by humans. To describe basic algorithms of speech analysis common to many applications. To give an overview of applications (recognition, synthesis, coding) and to inform about practical aspects of speech algorithms implementation.

Study literature

  • Gold, B., Morgan, N.: Speech and Audio Signal Processing, John Wiley & Sons, 2000, ISBN 0-471-35154-7

Fundamental literature

  • 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
  • Krčmová, N.: Fonetika a fonologie: zvuková stavba současné češtiny. Masarykova univerzita, Brno, 1990, ISBN 80-210-0137-2.
  • Rabiner, L., Juang, B.H.: Fundamentals of Speech Recognition, Signal Processing, Prentice Hall, Engelwood Cliffs, NJ, 1993, ISBN 0-13-015157-2

Syllabus of lectures

  • Introduction, applications of speech processing, sciences relevant for SP, informational content of speech.
  • Digital processing of speech signals.
  • Speech production and perception, basic notions from psycho-acoustics, applications in speech processing. 
  • Introduction to phonetics, international norms for phoneme mark-up.
  • Pre-processing and basic parameters of speech.
  • Linear-predictive model, spectrum using LP, applications of LP. 
  • Cepstral analysis, Mel-frequency cepstrum.
  • Determination of fundamental frequency.
  • Speech coding
  • Speech recognition - dynamic programming DTW, hidden Markov models HMM
  • Speech synthesis
  • Software and libraries for speech processing.

Syllabus of numerical exercises

  • Parameterization, DTW, HMM.
  • Presentation of projects.

Syllabus of computer exercises

    Except the last one, Matlab is used in labs.
  • Frames, windows, spectrum, pre-processing.
  • Linear prediction (LPC).
  • Fundamental frequency estimation.
  • Coding.
  • Recognition - Dynamic time Warping (DTW).
  • Recognition - hidden Markov models (Hidden Markov Model Toolkit - HTK).

Progress assessment

  • mid-term test 14b
  • presentation of projects 30b
  • presentation of results in computer labs 6b

Course inclusion in study plans

  • Programme IT-MSC-2, field MBI, MMI, any year of study, Compulsory-Elective group S
  • Programme IT-MSC-2, field MBS, MIS, MMM, any year of study, Elective
  • Programme IT-MSC-2, field MGM, 1st year of study, Compulsory
  • Programme IT-MSC-2, field MIN, any year of study, Compulsory-Elective group C
  • Programme IT-MSC-2, field MPV, 2nd year of study, Compulsory-Elective group G
  • Programme IT-MSC-2, field MSK, 2nd year of study, Compulsory-Elective group B
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