- Department of Circuit Theory
The subject is devoted to basis of speech processing addressed to students of master program with special focus on multimedia applications. Discussed speech technology is currently applied in many systems in different fields (e.g. information dialogue systems, voice controlled devices, dictation systems or transcription of audio-video recordings, support for language teaching, etc.). Further information can be found at http://noel.feld.cvut.cz/vyu/a2m31zre and at http://moodle.kme.feld.cvut.cz
Bases of digital signal processing are supposed as preliminary knowledge.
- Syllabus of lectures:
1. Introduction - speech signal (digital form), speech production model
2. Basic characteristics of speech signal, phonetic and articulatory aspects
3. Spectral characteristics of speech signal (DFT and LPC spectrum)
4. Noise suppression in speech signal (additive and convolution noise, one-channel, multi-channel)
5. Hearing aids and cochlear implants (anatomy and hearing model, speech processing)
6. Principles of speech recognition, basic tasks ad applications
7. Feature extraction for speech recognition
8. Small vocabulary speech recognition based on DTW and HMM (HTK)
9. Dictation and transcription systems (large vocabulary speech recognition)
10. Speaker verification and identification.
11. Speech synthesis - basic principles (concatenative and formant synthesis, PSOLA)
12. Audio-visual speech recognition
13. Multimedia systems with voice input (dialog systems, logopaedy, language teaching)
14. Language recognition. Reserve.
- Syllabus of tutorials:
1. Introduction: speech signal, tools for analysis, sources of speech signals
2. Basic time-domain characteristics: energy, intensity, zero-crossing, fundamental frequency
3. Spectral characteristics: short-time DFT and LPC spectrum, spectrogram
4. Suppression of additive noise in speech signal
5. Convolutory noise suppression
6. Speech processing for hearing aids and cochlear implants
7. Cepstrum and cepstral distance: voice activity detection, features for recognition
8. DTW based recognition: simple recognizer of particular words
9. HMM based recognition: basic tasks and demonstration of HMM modelling
10. Speaker verification based on GMM
11. Speech synthesis: implementation of formant synthesis, demonstration of available tools
12. Semester work presentations
13. Semester work presentations
14. Reserve. Credits
- Study Objective:
The goals of the subject is to introduce used speech technology in the most important multimedia applications. Students should manage the knowledge as basic characteristics of speech signal, speech enhancement, speech recognition, speech synthesis, audio-visual speech processing, etc. Students will practice basic tasks of speech processing in MATLAB environment and also other publicly available tools for speech analysis will be used. As a homework, students will elaborate semester project which will be presented at the exercise according to planned schedule.
- Study materials:
 Rabiner, L., Schafer, R. W.: Introduction to Digital Speech Processing Foundations and Trends in Signal Processing). Now Publishers Inc, 2007.
 Huang, X., Acero, A., Hon, H.-W.: Spoken Language Processing. Prentice Hall, 2001.
 Deller Jr., J. R., Hansen, J. H. L., Proakis, J. G.: Discrete-time Processing of Speech Signals. Wiley, 2000.
 McLoughlin, I.: Applied Speech and audio Processing: With Matlab Examples. Cambridge University Press, 2009.
 Jelinek, F.: Statistical Methods for Speech Recognition (Language, Speech, and Communication). The MIT Press, 1998.
 ITU-T Recommendations - http://www.itu.int/ITU-T
- Further information:
- No time-table has been prepared for this course
- The course is a part of the following study plans:
- Cybernetics and Robotics - Robotics (elective course)
- Cybernetics and Robotics - Senzors and Instrumention (elective course)
- Cybernetics and Robotics - Systems and Control (elective course)
- Open Informatics - Artificial Intelligence (elective course)
- Open Informatics - Computer Engineering (elective course)
- Open Informatics - Computer Vision and Image Processing (elective course)
- Open Informatics - Computer Graphics and Interaction (elective course)
- Open Informatics - Software Engineering (elective course)
- Communications, Multimedia and Electronics - Multimedia Technology (compulsory course of the specialization)
- Electrical Engineering, Power Engineering and Management - Technological Systems (elective course)
- Electrical Engineering, Power Engineering and Management - Electrical Machines, Apparatus and Drives (elective course)
- Electrical Engineering, Power Engineering and Management - Electrical Power Engineering (elective course)
- Electrical Engineering, Power Engineering and Management - Economy and Management of Power Eng. (elective course)
- Electrical Engineering, Power Engineering and Management - Economy and Management of Electrical Eng. (elective course)
- Cybernetics and Robotics - Air and Space Systems (elective course)
- Communications, Multimedia and Electronics - Communication Systems (compulsory course of the specialization)
- Open Informatics - New - Software Engineering (elective course)