13M054OPG - Digital Speech Processing and Recognition
Course specification | ||||
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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) | ||||
Lecturer/Associate (for practice) | ||||
Lecturer/Associate (for OTC) | ||||
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.ac.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 | ||||
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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 |