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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2018/2019

Speech technology in telecommunications

The course is not on the list Without time-table
Code Completion Credits Range Language
AD2M31ZRE Z,ZK 6 14+6c Czech
Lecturer:
Tutor:
Supervisor:
Department of Circuit Theory
Synopsis:

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/ad2m31zre . Detailed information for registered students can be found at teaching portal http://moodle.kme.feld.cvut.cz .

Requirements:

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:

[1] Huang, X. - Acero, A. - Hon, H.-W.: Spoken Language Processing. Prentice Hall 2001.

Note:
Further information:
https://moodle.fel.cvut.cz/courses/AD2M31ZRE
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2019-04-20
For updated information see http://bilakniha.cvut.cz/en/predmet1227806.html