MS1KCR - Human-Computer Communication

Course specification
Course title		Human-Computer Communication
Acronym		MS1KČR
Study programme		Electrical Engineering and Computing
Module		Audio and Video Communications
Type of study		master academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
ESPB		6.0	Status	elective
Condition		Passed the examination - Speech Signal Processing, or at least one published work in the field of speech signal processing.
The goal		Course includes introduction of students to techniques of speech synthesis and recognition and basic elements in speech understanding for human-computer communication.
The outcome		Creating a background for developing a master work.
Contents
Contents of lectures		Comprehension of spoken language: natural language processing (NLP), dialog structures; speech synthesis: TTS systems, rules-based synthesis, concatenative synthesis, prosody generating, speech recognition techniques: DTW, HMM, ANN, methods of speech, speaker & language recognition; human-computer communication: dialogue management, speech to speech translation, audio-visual speech communication.
Contents of exercises		The application of various software tools in the speech signal processing and working out an adopted theoretical and practical knowledge through seminars and/or projects.
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
3	1
Methods of teaching		Lectures (consultations), seminar work and/or participation in projects.
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures		20	Test paper	0
Practical lessons		0	Oral examination	30
Projects		30
Colloquia		0
Seminars		20