13E054OPG - Speech Processing and Recognition
| Course specification | ||||
|---|---|---|---|---|
| Course title | Speech Processing and Recognition | |||
| Acronym | 13E054OPG | |||
| Study programme | Electrical Engineering and Computing | |||
| Module | ||||
| Type of study | bachelor 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.edu.rs/sr/13e054opg | |||
| URL to lectures | https://teams.microsoft.com/l/team/19%3A5GzNyUmuzOvSmegcakwcZheZ5TnwCr3iWFumR7uFwds1%40thread.tacv2/conversations?groupId=b9945d3b-f834-4caf-9505-70534273ce25&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 | ||||
| ||||
| 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 | |||