Subject

Speech Technologies

Course Title

Speech Technologies
Speech technologies

Code

m23_w_068

Study Programme

—

Organizer of the study programme (unit, institute, department or division)

Faculty of Computer Science and Engineering

Degree level (first, second, third cycle)

Second cycle

Academic year / semester

9 / Winter

Number of ECTS credits

Teacher

Monika Simjanoska Miseva

Prerequisites for enrolling in the course

—

10.

Objectives of the course programme (competences)

Introduction to spoken language technology with an emphasis on dialogic and conversational systems. Deep learning and other methods for automatic speech recognition, speech synthesis, impact detection, dialogue management, and applications for digital assistants and spoken language understanding systems.

11.

Course content

Introduction to Acoustic Phonetics. Introduction to Dialogue. Machine Learning in Dialogue. Proposal Project and Introduction to Automatic Speech Recognition (ASR). Automatic Speech Recognition. Advanced ASR. Speech Technology Products and Modern Tools. Speech Synthesis / Text-to-Speech (TTS). Practical TTS and Meaning Extraction. Poster Presentations and Course Wrap-up.

12.

Learning methods

Lectures supported by slide presentations, interactive lectures, exercises (using equipment and software packages), independent preparation and defense of a project assignment and a seminar paper, and learning in an electronic environment (forums, consultations).

13.

Total available time

6 ECTS x 30 hours = 180 hours

14.

Distribution of available time

60 + 40 + 30 + 50 + 0 = 180 hours

15.

Forms of teaching activities

15.1.	Lectures - theoretical instruction	60 hours
15.2.	Exercises (laboratory, auditory), seminars, teamwork	40 hours

16.

Other forms of activities

16.1.	Project assignments	50 hours
16.2.	Independent assignments	30 hours
16.3.	Home study	0 hours

17.

Assessment method

17.1.	Tests	0 points
17.2.	Seminar paper / project (presentation: written and oral)	50 points
17.3.	Activities and learning	10 points
17.4.	Final exam	40 points

18.

Grading criteria (points / grade)

up to 50 points	5 (five) (F)
from 51 to 60 points	6 (six) (E)
from 61 to 70 points	7 (seven) (D)
from 71 to 80 points	8 (eight) (C)
from 81 to 90 points	9 (nine) (B)
from 91 to 100 points	10 (ten) (A)

19.

Requirement for obtaining a signature and taking the final exam

NULL

20.

Language of instruction

Macedonian and English

21.

Method for monitoring the quality of teaching

Internal evaluation and survey mechanism

22.

Literature

22.1.

Required literature

22.2.

Additional literature

No. Author Title Publisher Year