13M054OPG - Digital Speech Processing and Recognition

Course specification
Course title		Digital Speech Processing and Recognition
Acronym		13M054OPG
Study programme		Electrical Engineering and Computing
Module
Type of study		master academic studies
Lecturer (for classes)		professor PhD Željko Đurović professor PhD Aleksandra Krstić
Lecturer/Associate (for practice)		professor PhD Aleksandra Krstić Maša Tiosavljević, electrical and computer engineer
Lecturer/Associate (for OTC)		professor PhD Aleksandra Krstić Maša Tiosavljević, electrical and computer engineer
ESPB		6.0	Status	elective
Condition		non
The goal		Objective of the course is for the students to become capable of applying basic techniques for digital processing and speech recognition.
The outcome		Learning outcomes should be for the students to gain the following skills: endpoints detection in the recorded speech sequence, estimation of pitch frequency, design of different speech quantizers,design of speech recognition systems based on spectral, cepstral coefficients or hidden Markov chains.
Contents
URL to the subject page		https://automatika.etf.bg.edu.rs/sr/13e054opg
URL to lectures		https://teams.microsoft.com/l/team/19%3ashf1lndPz5RMVczUgquDSknqvzsGfhoVe6eOmDqUwF01%40thread.tacv2/conversations?groupId=c480bfab-9bef-4be8-9adc-a22388360494&tenantId=1774ef2e-9c62-478a-8d3a-fd2a495547ba
Contents of lectures		Modelling of acoustic waveform, Model of uniform tube, Time-domain speech signal processing, Different techniques of quantizers, Evaluation of quantizers, Homomorphic processing of speech signal, LPC analysis of speech signals, Hidden Markov chains and application in speech recognition.
Contents of exercises		Within the course, students have obligation to solve three practical problems: 1. estimation of their pitch frequency and segmentation of their speech, 2. modelling and evaluation of particular quantizer, 3. design of a hidden Markov model. In addition, during computer exercises students also learn how to build a vowel synthesis system, conduct LPC analysis, etc.
Literature
Digital processing of speech signals, L. Rabiner, R. Schafer,Prentice Hall, Englewood, 1979. Speech Processing, A dynamic and optimization oriented approach,Li Deng, Douglas O'Shaughnessy, Marcel Dekker, 2003.
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
3	1	1
Methods of teaching		lectures, auditory exercises and computer exercises
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures		0	Test paper	70
Practical lessons		30	Oral examination	0
Projects
Colloquia		0
Seminars		0