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DS2GT - Speech Technologies

Course specification
Course title Speech Technologies
Acronym DS2GT
Study programme Electrical Engineering and Computing
Module Telecommunications and Information Technologies
Type of study doctoral studies
Lecturer (for classes)
    Lecturer/Associate (for practice)
      Lecturer/Associate (for OTC)
        ESPB 9.0 Status elective
        Condition Passed the examination - Speech Signal Processing, or at least one published work in the field of speech signal processing.
        The goal The goal of course is to master the essential knowledge about speech technologies as a necessary basis for further research.
        The outcome Creating a background for the research required for the doctoral dissertation.
        Contents
        Contents of lectures Physiology and acoustics of speech, elements of linguistics, psychoacoustics, speech perception, and psycholinguistics. Theories and systems in speech synthesis and recognition. Methods of languages and speakers recognition (biometric and forensic applications). Strategies in the design of human-computer dialogue. Specific applications of these technologies in the multi-modal communications.
        Contents of exercises The application of various software tools in the speech signal processing and development of adopted theoretical and practical knowledge through seminars and/or projects.
        Literature
        1. J. Benesty, M. M. Sondhi, Y. Huang (Eds.). Handbook of Speech Processing. Springer, 2008. (Original title)
        2. X. Huang, A. Acero, H.W. Hon. Spoken language processing: A guide to theory, Algorithm, and system development. Prentice Hall, N.J., 2001. (Original title)
        3. J.N. Holmes, W.J. Holmes. Speech synthesis and recognition. Taylor & Francis, 2nd ed, 2002. (Original title)
        Number of hours per week during the semester/trimester/year
        Lectures Exercises OTC Study and Research Other classes
        6
        Methods of teaching 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