Course details
Speech Signal Processing
ZRE Acad. year 2017/2018 Summer semester 5 credits
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
Completion
Time span
Assessment points
- 51 pts final exam (written part)
- 14 pts mid-term test (written part)
- 6 pts labs
- 29 pts projects
Department
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.
Prerequisite knowledge and skills
There are no prerequisites
Study 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
Fundamental literature
- Psutka, J.: Komunikace s počítačem mluvenou řečí. Academia, Praha, 1995, ISBN 80-200-0203-0
Syllabus of seminars
- 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
Study evaluation is based on marks obtained for specified items. Minimimum number of marks to pass is 50.
Controlled instruction
- mid-term test 14 pts
- projects 29 pts
- presentation of results in computer labs 6 pts
Course inclusion in study plans