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 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